classification of digital health v1
TRANSCRIPT
page 1Wo r l d H e a lt h O r g a n i z at i o n C l a s s i f i c at i o n o f D i g i ta l H e a lt h I n t e r v e n t i o n s
Classification of Digital Health Interventions v 1.0A shared language to describe the uses of digital technology for health
The classification of digital health interventions (DHIs) categorizes the different
ways in which digital and mobile technologies are being used to support health
system needs. Targeted primarily at public health audiences, this Classification
framework aims to promote an accessible and bridging language for health program
planners to articulate functionalities of digital health implementations. Also referred
to as a taxonomy, this Classification scheme is anchored on the unit of a “digital health
intervention,” which represents a discrete functionality of the digital technology to
achieve health sector objectives.
What is it?
How to use it? The digital health interventions are organized into the following overarching groupings
based on the targeted primary user:
Interventions for clients: Clients are members of the public who are potential
or current users of health services, including health promotion activities.
Caregivers of clients receiving health services are also included in this group.
Interventions for healthcare providers: Healthcare providers are members
of the health workforce who deliver health services.
Interventions for health system or resource managers: Health system
and resource managers are involved in the administration and oversight of
public health systems. Interventions within this category reflect managerial
functions related to supply chain management, health financing, human
resource management.
Interventions for data services: This consists of crosscutting functionality to
support a wide range of activities related to data collection, management, use,
and exchange.
1.1 Targeted client communication
1.4 Personal health tracking 1.7 Client financial
transactions
1.5 Citizen based reporting
1.6On-demand information services to clients
1.2 Untargeted client communication
1.3 Client to client communication
1.1.1Transmit health event alerts to specific population group(s)
1.1.2
Transmit targeted health information to client(s) based on health status or demographics
1.1.3 Transmit targeted alerts and reminders to client(s)
1.1.4Transmit diagnostics result, or availability of result, to client(s)
1.4.1 Access by client to own medical records
1.4.2 Self monitoring of health or diagnostic data by client
1.4.3 Active data capture/documentation by client
1.7.1Transmit or manage out of pocket payments by client(s)
1.7.2Transmit or manage vouchers to client(s) for health services
1.7.3Transmit or manage incentives to client(s) for health services
1.5.1 Reporting of health system feedback by clients
1.5.2 Reporting of public health events by clients
1.6.1 Client look-up of health information
1.2.1Transmit untargeted health information to an undefined population
1.2.2Transmit untargeted health event alerts to undefined group
1.3.1 Peer group for clients
1.0 Clients
2.1Client identification and registration
2.5Healthcare provider communication
2.6 Referral coordination
2.7Health worker activity planning and scheduling
2.8 Healthcare provider training
2.9Prescription and medication management
2.10Laboratory and Diagnostics Imaging Manangement
2.2 Client health records
2.3Healthcare provider decision support
2.4 Telemedicine
2.1.1 Verify client unique identity
2.1.2 Enrol client for health services/clinical care plan
2.5.1Communication from healthcare provider(s) to supervisor
2.5.2Communication and performance feedback to healthcare provider(s)
2.5.3Transmit routine news and workflow notifications to healthcare provider(s)
2.5.4Transmit non-routine health event alerts to healthcare provider(s)
2.5.5 Peer group for healthcare providers
2.6.1 Coordinate emergency response and transport
2.6.2Manage referrals between points of service within health sector
2.6.3 Manage referrals between health and other sectors
2.7.1 Identify client(s) in need of services
2.7.2 Schedule healthcare provider's activities
2.8.1 Provide training content to healthcare provider(s)
2.8.2 Assess capacity of healthcare provider(s)
2.9.1 Transmit or track prescription orders
2.9.2 Track client's medication consumption
2.9.3 Report adverse drug events
2.10.1 Transmit diagnostic result to healthcare provider
2.10.2 Transmit and track diagnostic orders
2.10.3 Capture diagnostic results from digital devices
2.10.4 Track biological specimens
2.2.1Longitudinal tracking of clients’ health status and services
2.2.2 Manage client’s structured clinical records
2.2.3Manage client’s unstructured clinical records
2.2.4Routine health indicator data collection and management
2.3.1Provide prompts and alerts based according to protocol
2.3.2 Provide checklist according to protocol
2.3.3 Screen clients by risk or other health status
2.4.1Consultations between remote client and healthcare provider
2.4.2Remote monitoring of client health or diagnostic data by provider
2.4.3 Transmission of medical data to healthcare provider
2.4.4Consultations for case management between healthcare provider(s)
2.0 Healthcare Providers
3.1 Human resource management
3.4 Civil Registration and Vital Statistic
3.6 Equipment and asset management
3.7 Facility management
3.5 Health financing
3.2 Supply chain management
3.3 Public health event notification
3.1.1List health workforce cadres and related identification information
3.1.2 Monitor performance of healthcare provider(s)
3.1.3Manage certification/registration of healthcare provider(s)
3.1.4 Record training credentials of healthcare provider(s)
3.4.1 Notify birth event
3.4.2 Register birth event
3.4.3 Certify birth event
3.4.4 Notify death event
3.4.5 Register death event
3.4.6 Certify death event
3.6.1 Monitor status of health equipment
3.6.2Track regulation and licensing of medical equipment
3.7.1 List health facilities and related information
3.7.2 Assess health facilities
3.5.1 Register and verify client insurance membership
3.5.2 Track insurance billing and claims submission
3.5.3 Track and manage insurance reimbursement
3.5.4Transmit routine payroll payment to healthcare provider(s)
3.5.5Transmit or manage incentives to healthcare provider(s)
3.5.6 Manage budget and expenditures
3.2.1Manage inventory and distribution of health commodities
3.2.2 Notify stock levels of health commodities
3.2.3 Monitor cold-chain sensitive commodities
3.2.4 Register licensed drugs and health commodities
3.2.5 Manage procurement of commodities
3.2.6Report counterfeit or substandard drugs by clients
3.3.1Notification of public health events from point of diagnosis
3.0 Health System Managers
4.1Data collection, management, and use
4.3 Location mapping
4.4 Data exchange and interoperability
4.2 Data coding
4.1.1Non-routine data collection and management
4.1.2 Data storage and aggregation
4.1.3 Data synthesis and visualization
4.1.4
Automated analysis of data to generate new information or predictions on future events
4.3.1 Map location of health facilities/structures
4.3.2 Map location of health events
4.3.3 Map location of clients and households
4.3.4 Map location of healthcare providers
4.4.1 Data exchange across systems
4.2.1 Parse unstructured data into structured data
4.2.2Merge, de-duplicate, and curate coded datasets or terminologies
4.2.3 Classify disease codes or cause of mortality
4.0 Data Services
page 2
The diverse communities working in digital health—including government stakeholders,
technologists, clinicians, implementers, network operators, researchers, donors—
have lacked a mutually understandable language with which to assess and articulate
functionality. A shared and standardized vocabulary was recognized as necessary to
identify gaps and duplication, evaluate effectiveness, and facilitate alignment across
different digital health implementations.
In particular, four primary use cases prompted the development of this classification
scheme: • synthesizing evidence and research;
• conducting national inventories and landscape analyses;
• developing guidance resources to inform planning;
• articulating required digital functionality based on identified
health system challenges and needs.
Although frameworks such as the Control Objectives for Information and Related
Technologies (COBIT) [1], Health Level Seven (HL7) [2], and International Standards
Organization (ISO) [3] exist, these frameworks provide highly technical terms for use
by computer scientists and software developers in health. This new classification
scheme offers a simplified language to help support a dialogue between public health
practitioners and technology-oriented audiences.
This classification of Digital Health Interventions (DHIs) should be used in tandem
with the of list Health System Challenges (HSC) in order to articulate how technology
is addressing identified health needs, such as lack of service utilisation. The HSC
framework provides an overview of needs and challenges faced in health systems,
in order to assist program planners to express what they expect to achieve through
implementation of a digital health intervention. For example, one may implement a
digital health intervention, such as “targeted communication to clients”, in order to
address a health system challenge, such as “lack of service utilisation,” to achieve an
overarching eHealth outcome of “improving clients’ access to knowledge resources and
support for better management of their health”[5].
The classification of DHIs also highlights functionalities that fit within various System
Categories, such as Logistics Management Information Systems (LMIS) or Electronic
Medical Records (EMR). System Categories represent the types of ICT applications
and information systems designed to deliver one or more digital health interventions.
A digital health intervention such as “notify stock levels of health commodities”
would fit into the System Category of LMIS. Linking digital health interventions to
system categories is critical as these serve as the starting point for interoperability
considerations.
Why was it created?
How does this link to other
classifications?
Each digital health intervention is accompanied by associated synonyms and other
commonly used terms. The framework also includes programmatic examples of these
terms based on cited descriptions from project documentation.
page 3Wo r l d H e a lt h O r g a n i z at i o n C l a s s i f i c at i o n o f D i g i ta l H e a lt h I n t e r v e n t i o n s
figure 1. Linkages across Health System Challenges, Digital Health Interventions, and System Categories
4.1.2 Data storage and aggregation
2.5.2 Communication and performance feedback to healthcare provider(s)
3.2.1 Manage inventory and distribution of health commodities
Health System Challenge (HSC)
Need or problem to be addressed
» Client communication system
Digital Health Intervention (DHI)Digital functionality for addressing
the Health System Challenge
System CategoryICT system that delivers one or more
of the Digital Health Interventions
Insufficient supply of
commodities
Healthcare provider’s poor adherence to clinical guidelines
Lack of access to information
or data
Loss to follow-up of clients
» Logistics Management Information System
» Telemedicine systems
» Decision support systems
» Health Management Information System (HMIS)
» Electronic Medical Record
» Electronic Medical Record
» Identification registries and directories
1.1.3 Transmit targeted alerts and reminders to client(s)
4.1.3 Data synthesis and visualizations
2.7.2 Schedule healthcare provider’s activities
3.2.2 Notify stock levels of health commodities
2.2.1 Longitudinal tracking of clients’ health status and services
2.2.4 Routine health indicator data collection and management
2.3.2 Provide checklist according to protocol
2.3.1 Provide prompts and alerts based according to protocol
This Classification scheme reflects emerging uses of digital technologies for health.
The taxonomy leverages mobile health (mHealth) categorizations from the mHealth
Technical Evidence Review Group (mTERG) and Labrique et al.[4], and expands on these
terms to to be inclusive of eHealth and broader capabilities that have relevance in
the health sector. WHO convened a series of technical consultations to further refine
these terminologies and definitions. Public feedback was solicited through the Health
Data Collaborative Digital Health and Interoperability Working Group. Additionally, a
desk review was conducted to align with reference frameworks [1-3], and to establish
examples of DHI in current use.
This reference Classification will evolve as new digital functionalities emerge. The WHO
Secretariat will periodically update and version this Classification based on technical
consultations and public feedback. Subsequent releases of this Classification will be
available at http://who.int/reproductivehealth/topics/mhealth/en/.
How was it developed?
How it will evolve?
page 4
3.2.1 Manage inventory and distribution of health commodities
1 Information 3 Quality 6 Efficiency
7 Cost
8 Accountability
2 Availability 4 Acceptability
5 Utilization
1.1 Lack of population denominator
1.2 Delayed reporting of events
1.3 Lack of quality/ reliable data
1.4 Communication roadblocks
1.5 Lack of access to information or data
1.6 Insufficient utilization of data and information
1.7 Lack of unique identifier
3.1 Poor patient experience
3.2 Insufficient health worker competence
3.3 Low quality health commodities
3.4 Low health worker motivation
3.5 Insufficient continuity of care
3.6 Inadequate supportive supervision
3.7 Poor adherence to guidelines
6.1 Inadequate workflow management
6.2 Lack of or inappropriate referrals
6.3 Poor planning and coordination
6.4 Delayed provision of care
6.5 Inadequate access to transportation
7.1 High cost of manual processes
7.2 Lack of effective resource allocation
7.3 Client-side expenses
7.4 Lack of coordinated payer mechanism
8.1 Insufficient patient engagement
8.2 Unaware of service entitlement
8.3 Absence of community feedback mechanisms
8.4 Lack of transparency in commodity transactions
8.5Poor accountability between the levels of the health sector
8.6 Inadequate understanding of beneficiary populations
2.1 Insufficient supply of commodities
2.2 Insufficient supply of services
2.3 Insufficient supply of equipment
2.4 Insufficient supply of qualified health workers
4.1 Lack of alignment with local norms
4.2Programs which do not address individual beliefs and practices
5.1 Low demand for services
5.2 Geographic inaccessibility
5.3 Low adherence to treatments
5.4 Loss to follow up
Health System Challenges
page 5Wo r l d H e a lt h O r g a n i z at i o n C l a s s i f i c at i o n o f D i g i ta l H e a lt h I n t e r v e n t i o n s
References
1. COBIT 5 Illustrative Governance and Management Processes. ISACA; 2017 (https://www.isaca.org/Knowledge-Center/Blog/Lists/Posts/Post.aspx?ID=193, accessed 20 November 2017 )
2. HL7 EHR System Functional Model: A Major Development Towards Consensus on Electronic Health Record System Functionality. Ann Arbor: Health Level Seven; 2004 (https://www.hl7.org/documentcenter/public/wg/ehr/EHR-SWhitePaper.pdf, accessed 7 March 2018)
3. Health informatics -- Capacity-based eHealth architecture roadmap -- Part 2: Architectural components and maturity model ISO/TR 14639-2:2014. Geneva: International Standards Organization (ISO); 2014 (https://www.iso.org/obp/ui/#iso:std:54903:en, accessed 7 March 2018)
4. Labrique AB, Vasudevan L, Kochi E, Fabricant R, Mehl G. mHealth innovations as health system strengthening tools: 12 common applications and a visual framework. Global Health: Science and Practice. 2013 Aug 1;1(2):160-71.
5. National eHealth strategy toolkit. Geneva: World Health Organization, International Telecommunication Union; 2012 (https://www.itu.int/dms_pub/itu-d/opb/str/D-STR-E_HEALTH.05-2012-PDF-E.pdf, accessed 2 March 2018).
ACensus, population information & data warehouse*
B Civil registration and vital statistics
C Client applications
D Client communication system
E Clinical terminology and classifications*
F Community-based information system
GData interchange interoperability and accessibility*
H Electronic medical record*
I Emergency response system*
J Environmental monitoring system*
K Facility management information system
L Geographic information system (GIS)
MHealth finance and insurance information system*
N Health management information system (HMIS)
O Human resource information system
P Identification registries and directories*
Q Knowledge management system*
R Laboratory and diagnostics information system*
S Learning and training system
T Logistics management information system (LMIS)
U Pharmacy information system*
V Public health and disease surveillance system*
W Research information system
XShared Health Record and health information respositories*
Y Telemedicine
System Categories
*Adapted from the International Standards Organization [3]
page 6
1.1 Targeted client communication
1.4 Personal health tracking 1.7 Client financial
transactions
1.5 Citizen based reporting
1.6On-demand information services to clients
1.2 Untargeted client communication
1.3 Client to client communication
1.1.1Transmit health event alerts to specific population group(s)
1.1.2
Transmit targeted health information to client(s) based on health status or demographics
1.1.3 Transmit targeted alerts and reminders to client(s)
1.1.4Transmit diagnostics result, or availability of result, to client(s)
1.4.1 Access by client to own medical records
1.4.2 Self monitoring of health or diagnostic data by client
1.4.3 Active data capture/documentation by client
1.7.1Transmit or manage out of pocket payments by client(s)
1.7.2Transmit or manage vouchers to client(s) for health services
1.7.3Transmit or manage incentives to client(s) for health services
1.5.1 Reporting of health system feedback by clients
1.5.2 Reporting of public health events by clients
1.6.1 Client look-up of health information
1.2.1Transmit untargeted health information to an undefined population
1.2.2Transmit untargeted health event alerts to undefined group
1.3.1 Peer group for clients
1.0 Clients
page 7Wo r l d H e a lt h O r g a n i z at i o n C l a s s i f i c at i o n o f D i g i ta l H e a lt h I n t e r v e n t i o n s
2.1Client identification and registration
2.5Healthcare provider communication
2.6 Referral coordination
2.7Health worker activity planning and scheduling
2.8 Healthcare provider training
2.9Prescription and medication management
2.10Laboratory and Diagnostics Imaging Manangement
2.2 Client health records
2.3Healthcare provider decision support
2.4 Telemedicine
2.1.1 Verify client unique identity
2.1.2 Enrol client for health services/clinical care plan
2.5.1Communication from healthcare provider(s) to supervisor
2.5.2Communication and performance feedback to healthcare provider(s)
2.5.3Transmit routine news and workflow notifications to healthcare provider(s)
2.5.4Transmit non-routine health event alerts to healthcare provider(s)
2.5.5 Peer group for healthcare providers
2.6.1 Coordinate emergency response and transport
2.6.2Manage referrals between points of service within health sector
2.6.3 Manage referrals between health and other sectors
2.7.1 Identify client(s) in need of services
2.7.2 Schedule healthcare provider's activities
2.8.1 Provide training content to healthcare provider(s)
2.8.2 Assess capacity of healthcare provider(s)
2.9.1 Transmit or track prescription orders
2.9.2 Track client's medication consumption
2.9.3 Report adverse drug events
2.10.1 Transmit diagnostic result to healthcare provider
2.10.2 Transmit and track diagnostic orders
2.10.3 Capture diagnostic results from digital devices
2.10.4 Track biological specimens
2.2.1Longitudinal tracking of clients’ health status and services
2.2.2 Manage client’s structured clinical records
2.2.3Manage client’s unstructured clinical records
2.2.4Routine health indicator data collection and management
2.3.1Provide prompts and alerts based according to protocol
2.3.2 Provide checklist according to protocol
2.3.3 Screen clients by risk or other health status
2.4.1Consultations between remote client and healthcare provider
2.4.2Remote monitoring of client health or diagnostic data by healthcare provider
2.4.3 Transmission of medical data to healthcare provider
2.4.4Consultations for case management between healthcare provider(s)
2.0 Healthcare Providers
page 8
3.1 Human resource management
3.4 Civil Registration and Vital Statistic
3.6 Equipment and asset management
3.7 Facility management
3.5 Health financing
3.2 Supply chain management
3.3 Public health event notification
3.1.1List health workforce cadres and related identification information
3.1.2 Monitor performance of healthcare provider(s)
3.1.3Manage certification/registration of healthcare provider(s)
3.1.4 Record training credentials of healthcare provider(s)
3.4.1 Notify birth event
3.4.2 Register birth event
3.4.3 Certify birth event
3.4.4 Notify death event
3.4.5 Register death event
3.4.6 Certify death event
3.6.1 Monitor status of health equipment
3.6.2Track regulation and licensing of medical equipment
3.7.1 List health facilities and related information
3.7.2 Assess health facilities
3.5.1 Register and verify client insurance membership
3.5.2 Track insurance billing and claims submission
3.5.3 Track and manage insurance reimbursement
3.5.4Transmit routine payroll payment to healthcare provider(s)
3.5.5Transmit or manage incentives to healthcare provider(s)
3.5.6 Manage budget and expenditures
3.2.1Manage inventory and distribution of health commodities
3.2.2 Notify stock levels of health commodities
3.2.3 Monitor cold-chain sensitive commodities
3.2.4 Register licensed drugs and health commodities
3.2.5 Manage procurement of commodities
3.2.6Report counterfeit or substandard drugs by clients
3.3.1Notification of public health events from point of diagnosis
3.0 Health System Managers
page 9Wo r l d H e a lt h O r g a n i z at i o n C l a s s i f i c at i o n o f D i g i ta l H e a lt h I n t e r v e n t i o n s
4.1Data collection, management, and use
4.3 Location mapping
4.4 Data exchange and interoperability
4.2 Data coding
4.1.1Non-routine data collection and management
4.1.2 Data storage and aggregation
4.1.3 Data synthesis and visualization
4.1.4
Automated analysis of data to generate new information or predictions on future events
4.3.1 Map location of health facilities/structures
4.3.2 Map location of health events
4.3.3 Map location of clients and households
4.3.4 Map location of healthcare providers
4.4.1 Data exchange across systems
4.2.1 Parse unstructured data into structured data
4.2.2Merge, de-duplicate, and curate coded datasets or terminologies
4.2.3 Classify disease codes or cause of mortality
4.0 Data Services
page 10
1.0
Cli
ents
Cat
egor
yIn
terv
enti
ons
Syno
nym
sIl
lust
rati
ve e
xam
ples
*
1.1
Targ
eted
cli
ent
com
mun
icat
ion
Tran
smis
sion
of t
arge
ted
heal
th in
form
atio
n “in
whi
ch
sepa
rate
aud
ienc
e se
gmen
ts
(oft
en d
emog
raph
ic c
ateg
orie
s)
bene
fit fr
om a
sha
red
mes
sage
.” [1
] Ta
rget
ed c
omm
unic
atio
n ca
n al
so b
e fu
rthe
r cus
tom
ized
ac
cord
ing
to a
n in
divi
dual
’s sp
ecifi
c ne
eds,
resu
ltin
g in
“tai
lore
d cl
ient
co
mm
unic
atio
n,” w
here
by m
essa
ge
cont
ent i
s m
atch
ed to
the
need
s an
d pr
efer
ence
s of
an
indi
vidu
al
[1].
The
com
mun
icat
ion
can
be
unid
irect
iona
l and
bid
irect
iona
l, bu
t in
itia
l con
tact
is fr
om th
e he
alth
sy
stem
; as
oppo
sed
to o
n-de
man
d in
form
atio
n se
rvic
e w
here
the
clie
nt in
itia
tes
the
first
con
tact
to
the
heal
th s
yste
m.
1.1.1
Tran
smit
hea
lth
even
t al
erts
to
spe
cifi
c po
pula
tio
n g
roup
(s)
- Pu
blic
hea
lth
even
t n
otifi
cati
on
; dis
ease
n
otifi
cati
on
to
spe
cifi
c o
r pr
e-id
enti
fied
po
pula
tio
ns
- N
otifi
cati
on
of
heal
th e
ven
ts t
o s
peci
fic
popu
lati
on
s ba
sed
on
dem
ogr
aphi
c ch
arac
teri
stic
s-
Hea
lth
pro
mot
ion
mes
sagi
ng
U-R
epor
t Ebo
la R
espo
nse
in U
gand
a: “
The
follo
win
g SM
S al
erts
wer
e ca
refu
lly d
raft
ed a
nd s
ent t
o Ki
baal
e, a
nd th
e su
rrou
ndin
g di
stric
ts H
oim
a, K
ibog
a, M
uben
de, N
toro
ko, B
undi
bugy
o, K
abar
ole
Kyen
jojo
, Kye
gegw
a, K
yank
wan
zi, a
nd I
band
a. S
MS
Aler
t 1:
Ther
e is
an
Ebol
a ou
tbre
ak in
Kib
aale
. Tod
ay a
nd to
mor
row
I am
goi
ng to
sen
d u
som
e SM
Ss to
giv
e u
mor
e in
fo a
bout
how
to re
cogn
ise
Ebol
a &
how
to p
reve
nt it
...” [7
]
1.1.2
Tran
smit
targ
eted
hea
lth
info
rmat
ion
to
cli
ent(
s)
base
d o
n h
ealt
h st
atus
or
dem
ogr
aphi
cs
- H
ealt
h ed
ucat
ion
, beh
avio
r ch
ange
co
mm
unic
atio
n, h
ealt
h pr
om
otio
n co
mm
unic
atio
n, c
lien
t-ce
nte
red
mes
sagi
ng;
-
Hea
lth
com
mun
icat
ion
bas
ed o
n a
kn
ow
n cl
ien
t’s h
ealt
h st
atus
or
clin
ical
his
tory
Aliv
e &
Thr
ive:
“...s
ent w
eekl
y te
xt a
nd v
oice
mes
sage
s to
the
phon
e of
mic
rocr
edit
gro
up le
ader
to s
hare
mes
sage
s on
bre
astf
eedi
ng
wit
h m
icro
cred
it g
roup
.” [8]
Mom
Con
nect
: “...
send
s st
age-
base
d, p
erso
naliz
ed s
hort
mes
sage
ser
vice
(SM
S) te
xts
to e
ach
mom
in th
e re
gist
ry.” [
8]En
gage
TB:
“Clie
nts
who
are
TB
Neg
ativ
e w
ill re
ceiv
e m
essa
ges
abou
t beh
avio
r cha
nge
to h
elp
them
avo
id th
e sp
read
of T
B an
d or
be
ing
infe
cted
by
TB.” [
8]M
obile
Info
rmat
ion
For M
ater
nal H
ealt
h: “
A m
obile
inte
ract
ive
voic
e re
spon
se s
yste
m th
at p
rovi
des
preg
nant
wom
en w
ith
info
rmat
ion
on th
e st
age
of h
er p
regn
ancy
and
sug
gest
ions
to k
eep
her a
nd h
er b
aby
heal
thy
via
twic
e w
eekl
y ph
one
calls
.” [8]
mD
iabe
tes:
“...a
n SM
S-ba
sed
info
rmat
ion
serv
ice
for p
eopl
e w
ith
diab
etes
dur
ing
Ram
adan
fast
ing.
” [9]
1.1.3
Tran
smit
targ
eted
al
erts
an
d re
min
ders
to
cli
ent(
s)
- A
lert
s fo
r pr
even
tive
ser
vice
s
and
wel
lnes
s-
Not
ifica
tio
ns
and
rem
inde
rs f
or
appo
intm
ents
, m
edic
atio
n a
dher
ence
, or
foll
ow
-up
serv
ices
- C
om
mun
icat
ion
fo
r re
ten
tio
n in
car
e,
con
tin
uity
of
care
Enga
geTB
: “ O
nce
a cl
ient
has
bee
n co
nfirm
ed a
s TB
posi
tive
, the
Lab
Tech
nici
ans
will
regi
ster
the
clie
nt b
ack
into
the
appl
icat
ion
and
enab
le th
e cl
ient
to re
ceiv
e re
min
ders
abo
ut D
irect
ly O
bser
ved
Ther
apy
(DO
T).” [
8]m
TIKA
: “...
send
SM
S re
min
ders
to fa
mili
es w
hen
thei
r chi
ldre
n ar
e du
e fo
r im
mun
izat
ion
serv
ices
.” [8]
Mob
y A
pp:
“... s
ends
aut
omat
ed S
MS
rem
inde
rs to
clie
nts,
rem
indi
ng th
em o
f upc
omin
g ap
poin
tmen
ts, m
isse
d ap
poin
tmen
ts, a
nd
appr
oach
ing
deliv
ery
date
s so
wom
en c
an p
repa
re to
del
iver
in a
hea
lth
faci
lity.”
[8]
Wire
d M
othe
rs:
“Wom
en re
ceiv
e ap
poin
tmen
t rem
inde
rs, e
duca
tion
al m
essa
ging
and
can
cal
l the
ir pr
imar
y ca
re p
rovi
ders
to
disc
uss
non-
acut
e is
sues
.” [8]
1.1.4
Tran
smit
dia
gno
stic
s re
sult
, or
avai
labi
lity
o
f re
sult
, to
cli
ent(
s)
- La
bora
tory
res
ults
man
agem
ent,
te
sts
resu
lts
man
agem
ent
txtA
lert
: “T
his
vers
ion
of tx
tAle
rt d
eliv
ers
CD
4 co
unt r
esul
ts to
pat
ient
s w
ho h
ave
been
test
ed fo
r HIV
but
may
not
retu
rn to
the
clin
ic to
col
lect
thei
r CD
4 co
unts
resu
lts.
..” [8
]
1.2
Unt
arge
ted
clie
nt
com
mun
icat
ion
Tran
smis
sion
of u
ntar
gete
d he
alth
pro
mot
ion
cont
ent “
in
whi
ch in
whi
ch re
lati
vely
larg
e,
undi
ffer
enti
ated
aud
ienc
es re
ceiv
e id
enti
cal m
essa
ges.”
[1]
This
in
clud
es m
essa
ge b
last
s us
ually
co
nduc
ted
to a
mob
ile p
hone
use
r ba
nk. T
he c
omm
unic
atio
n ca
n be
un
idire
ctio
nal a
nd b
idire
ctio
nal.
1.2.
1Tr
ansm
it u
nta
rget
ed
heal
th in
form
atio
n t
o
an u
nde
fin
ed p
opu
lati
on
- M
ass
mes
sagi
ng
cam
paig
n o
r co
mm
unic
atio
n to
an
un
defi
ned
targ
et g
roup
- H
ealt
h m
essa
gin
g to
un
defi
ned
targ
et g
roup
re
gard
less
of
dem
ogr
aphi
c ch
arac
teri
stic
s o
r he
alth
sta
tus
WA
HA
Mat
erna
l Hea
lth
mH
ealt
h Pr
ogra
m:
“Tw
o SM
S ca
mpa
igns
wer
e la
unch
ed, t
arge
ting
the
inha
bita
nts
of th
e Ta
mba
coun
da
dist
rict.
.. The
sec
ond
cam
paig
n ta
rget
s al
l peo
ple,
so
that
they
are
regu
larly
info
rmed
of a
vaila
ble
med
ical
ser
vice
s w
ithi
n th
e di
stric
t.” [1
0]
1.2.
2Tr
ansm
it u
nta
rget
ed
heal
th e
ven
t al
erts
to
unde
fin
ed g
roup
- Pu
blic
hea
lth
even
t n
otifi
cati
on
; di
seas
e n
otifi
cati
on
- M
ass
mes
sagi
ng
cam
paig
n
Ebol
a aw
aren
ess
thro
ugh
SMS:
“As
par
t of a
mas
sive
pub
lic a
war
enes
s eff
ort,
Sene
gal’s
Min
istr
y of
Hea
lth
sent
4 m
illio
n SM
S m
essa
ges
to th
e ge
nera
l pub
lic w
arni
ng o
f the
dan
gers
of E
bola
and
how
to p
reve
nt it
.” [11
]
1.3
Cli
ent
to c
lien
t co
mm
unic
atio
nC
omm
unic
atio
n be
twee
n cl
ient
s
as p
eers
wit
hin
an o
rgan
ized
ne
twor
k/gr
oup.
1.3.
1 Pe
er g
roup
fo
r cl
ien
ts-
Peer
lea
rnin
g, p
eer
gro
up, p
eer-
to-p
eer
gro
ups,
pe
er n
etw
ork
, pee
r su
ppo
rtPr
ojec
t Khu
lum
a: “
Peer
-led
sup
port
gro
ups
for H
IV-i
nfec
ted
adol
esce
nts
to c
omm
unic
ate
amon
gst t
hem
selv
es o
n to
pics
they
wan
t to
dis
cuss
.” [8]
page 11Wo r l d H e a lt h O r g a n i z at i o n C l a s s i f i c at i o n o f D i g i ta l H e a lt h I n t e r v e n t i o n s
Cat
egor
yIn
terv
enti
ons
Syno
nym
sIl
lust
rati
ve e
xam
ples
*
1.4
Pers
onal
hea
lth
trac
king
The
use
of m
obile
app
licat
ions
by
clie
nts,
pho
ne b
ased
sen
sors
, he
alth
reco
rds,
and
wea
rabl
es fo
r cl
ient
s to
mon
itor
thei
r ow
n he
alth
st
atus
. Thi
s ca
n in
clud
e w
eara
ble
sens
ors,
web
-too
ls, a
nd a
pps
that
al
low
clie
nts
to re
view
and
trac
k th
eir h
ealt
h st
atus
.
1.4.
1A
cces
s by
cli
ent
to o
wn
med
ical
rec
ord
s-
Self
-acc
ess
to c
lien
t he
alth
rec
ord
; pat
ien
t’s
ow
n a
cces
s to
the
ir h
ealt
h re
cord
. -
Abi
lity
fo
r cl
ien
ts t
o t
rack
the
ir h
ealt
h hi
sto
ry
and
clin
ical
rec
ord
Dig
ital
Wei
ghin
g C
ard:
“Th
is p
roje
ct is
ther
efor
e se
ekin
g to
pro
vide
a d
igit
al c
opy
of e
very
chi
ld w
eigh
ing
card
, suc
h th
at, i
t can
be
acce
ssed
via
mob
ile p
hone
whe
neve
r nee
ded
and
upda
ted
by C
omm
unit
y he
alth
Wor
kers
at a
ny p
oint
in ti
me.
” [12
]
1.4.
2 Se
lf m
on
ito
rin
g o
f he
alth
or
diag
no
stic
da
ta b
y cl
ien
t
- Pe
rso
nal
hea
lth
mo
nit
ori
ng,
sel
f-tr
acki
ng
self
-car
e, s
elf-
mo
nit
ori
ng
- Se
nso
rs a
nd
wea
rabl
es f
or
pers
on
al h
ealt
h m
on
ito
rin
g-
Cli
ent’s
hea
lth
data
is c
oll
ecte
d ba
sed
on
a
mac
hin
e a
clie
nt
uses
on
the
ir o
wn
Wea
rabl
es a
nd fi
tnes
s tr
acke
rs:
“...tr
acks
eve
ry p
art o
f you
r day
—in
clud
ing
acti
vity
, exe
rcis
e, fo
od, w
eigh
t and
sle
ep.” [
13]
Med
opad
Pat
ient
Mon
itor
ing:
“...y
ou c
an m
onito
r vit
al s
igns
, log
sym
ptom
s, s
hare
info
rmat
ion
wit
h yo
ur c
are
prov
ider
s an
d m
ore.
” [14
]
1.4.
3 A
ctiv
e da
ta c
aptu
re/
docu
men
tati
on
by
clie
nt
- Pe
rso
nal
hea
lth
mo
nit
ori
ng,
sel
f-tr
acki
ng
self
-car
e, s
elf-
mo
nit
ori
ng,
jour
nal
ing;
ca
ptur
e pa
tien
t o
rigi
nat
ed d
ata,
cli
ent
docu
men
tati
on
of
heal
th s
tatu
s an
d ac
tivi
ties
Cyc
leTe
l Hum
safa
r: “.
..she
ent
ers
the
date
of h
er la
st p
erio
d an
d th
e se
rvic
e in
form
s he
r of h
er fe
rtile
day
s du
ring
the
cycl
e. S
he re
ceiv
es
aler
ts o
n he
r “un
safe
day
s” th
roug
hout
the
mon
th.” [
8]
1.5
Cit
izen
bas
ed r
epor
ting
Dig
ital
pla
tfor
ms,
incl
udin
g so
cial
m
edia
, tha
t ena
ble
clie
nts
to re
port
on
pub
lic h
ealt
h ev
ents
, as
wel
l as
expe
rienc
es, i
ssue
s, a
nd s
atis
fact
ion
wit
h he
alth
ser
vice
s.
1.5.
1Re
port
ing
of
heal
th
syst
em f
eedb
ack
by
clie
nts
- Pu
blic
rep
ort
ing
on
hea
lth
syst
em is
sues
, suc
h as
the
ava
ilab
ilit
y an
d q
uali
ty o
f se
rvic
es
rece
ived
, in
tera
ctio
n w
ith
heal
th w
ork
er,
sati
sfac
tio
n w
ith
serv
ices
- A
cco
unta
bili
ty m
on
ito
rin
g, a
cco
unta
bili
ty
repo
rtin
g-
Cro
wds
our
ced
feed
back
, pat
ien
t/cl
ien
t fe
edba
ck, q
uali
ty o
f ca
re f
eedb
ack
U-R
epor
t: “
Yout
h ca
n se
nd a
lert
s to
key
sta
keho
lder
s ab
out t
he is
sues
bei
ng fa
ced
in th
eir c
omm
unit
ies,
and
feed
s ba
ck u
sefu
l in
form
atio
n to
the
U-R
epor
ters
.” [8]
Mom
Con
nect
: “A
llow
wom
en to
eng
age
wit
h th
e he
alth
sys
tem
thro
ugh
help
des
k to
ols
and
feed
back
ser
vice
s.” [8
]
1.5.
2Re
port
ing
of
publ
ic
heal
th e
ven
ts b
y cl
ien
ts-
Surv
eill
ance
not
ifica
tio
n, d
isea
se n
otifi
cati
on
, cl
ien
t re
port
ing
Ebol
aTxT
: "C
itiz
ens
can
repo
rt s
uspe
cted
Ebo
la c
ases
via
SM
S." [
8]
1.6
On
dem
and
info
rmat
ion
serv
ices
to
clie
nts
Hea
lth
info
rmat
ion
acce
ssib
le to
th
e ge
nera
l pub
lic tr
igge
red
by
the
clie
nt. T
his
coul
d be
ava
ilabl
e vi
a w
ebsi
tes,
hel
plin
es, U
SSD
/SM
S m
enus
, or c
lient
app
licat
ions
, am
ong
othe
r cha
nnel
s, th
at m
ay
info
rm d
ecis
ion-
mak
ing.
1.6.
1C
lien
t lo
ok-
up o
f
heal
th in
form
atio
n -
Cli
ent
sear
ches
or
loo
ks u
p in
form
atio
n o
n a
he
alth
to
pic
- D
ecis
ion
sup
port
fo
r cl
ien
ts
Hes
peria
n H
ealt
h W
iki:
“An
onlin
e so
urce
of c
lear
, act
iona
ble,
and
thor
ough
hea
lth
info
rmat
ion
acce
ssib
le v
ia c
ompu
ter o
r mob
ile
devi
ce.” [
8]En
gage
TB:
“ The
sof
twar
e en
able
s cl
ient
s do
TB
self-
scre
enin
g an
d ac
cess
the
basi
c he
alth
info
rmat
ion
rela
ted
to T
B vi
a sh
ort m
essa
ges
(SM
S) th
roug
h th
eir p
hone
s by
sen
ding
a c
ode
wor
d “T
B” to
a n
etw
ork
neut
ral t
oll f
ree
shor
t cod
e, a
nd a
list
of h
ealt
h fa
cilit
ies
that
hav
e th
e ca
pabi
lity
to c
ondu
ct la
bora
tory
test
s to
con
firm
TB.
” [8]
m4R
H:
“A s
et o
f tex
t mes
sage
s on
fam
ily p
lann
ing
met
hods
that
use
rs in
can
acc
ess
via
thei
r mob
ile p
hone
s.” [8
]
1.7 Cli
ent
fina
ncia
l tr
ansa
ctio
nsD
igit
al a
ppro
ache
s to
faci
litat
e fin
anci
al tr
ansa
ctio
ns fo
r clie
nts.
Th
ese
digi
tal fi
nanc
ial t
rans
acti
ons
can
be u
sed
to fa
cilit
ate
cond
itio
nal
cash
tran
sfer
s an
d pa
ymen
ts
rela
ted
to h
ealt
h se
rvic
e de
liver
y.
1.7.1
Tran
smit
or
man
age
o
ut o
f po
cket
pay
men
ts
by c
lien
t
- M
obi
le m
on
ey p
aym
ents
dir
ectl
y m
ade
by c
lien
t (t
his
can
incl
ude
paym
ents
fo
r an
y he
alth
se
rvic
es s
uch
as e
mer
gen
cy t
ran
spo
rtat
ion
, he
alth
fee
s, e
tc)
mH
ealt
h fo
r Saf
er D
eliv
erie
s: “
use
mob
ile b
anki
ng in
stea
d of
cas
h to
pay
for t
rans
port
atio
n to
the
heal
th fa
cilit
y w
hen
the
wom
an is
in
labo
r or i
n ca
se o
f com
plic
atio
ns.” [
8]C
hang
amka
Mat
erna
l Hea
lth
Smar
tCar
d: ”
The
mat
erna
l hea
lth
smar
tcar
d is
a p
re-p
aid
card
that
allo
ws
the
bear
er to
obt
ain
ante
nata
l, de
liver
y, an
d po
stna
tal s
ervi
ces
at li
sted
pric
es in
par
tici
pati
ng m
ater
nity
faci
litie
s.” [8
]
1.7.2
Tr
ansm
it o
r m
anag
e vo
uche
rs t
o c
lien
t fo
r he
alth
ser
vice
s
- H
ealt
h vo
uche
r is
suan
ce (e
.g. f
or
mo
squi
to
net
s, f
or
tran
spo
rt, e
tc) a
nd
rede
mpt
ion
serv
ices
Mob
ile F
inan
ce to
Rei
mbu
rse
Sexu
al a
nd R
epro
duct
ive
Vouc
hers
: “V
ouch
er p
rogr
am’s
tran
smit
s SM
S m
oney
tran
sfer
to re
imbu
rse
soci
al fr
anch
ise
serv
ice
prov
ider
s fo
r FP
serv
ices
to c
lient
s.” [8
]A
irte
l Ins
uran
ce w
ith
Mic
roEn
sure
: “ A
irtel
rew
ards
loya
l cus
tom
ers
(who
regi
ster
ed fo
r the
pro
duct
by
dial
ing
a sh
ortc
ode)
wit
h fr
ee
insu
ranc
e as
long
as
they
spe
nt a
min
imum
am
ount
of a
irtim
e...t
hrou
gh m
onth
ly S
MS
com
mun
icat
ion.
” [8]
Tanz
ania
Nat
iona
l eVo
uche
r Sch
eme:
“W
eb p
latf
orm
that
allo
ws
clin
ic w
orke
rs to
issu
e vo
uche
rs fo
r lon
g-la
stin
g in
sect
icid
e-tr
eate
d ne
ts, r
edee
med
at n
earb
y re
taile
rs.” [
8]
1.7.3
Tr
ansm
it o
r m
anag
e in
cen
tive
s to
cli
ents
fo
r he
alth
ser
vice
s
- C
ash
tran
sfer
s to
cli
ents
co
ndi
tio
nal
on
heal
th r
elat
ed b
ehav
iour
sIn
tera
ctiv
e A
lert
s/Zi
ndag
i Meh
fooz
: “A
vac
cine
regi
stry
sys
tem
that
use
s SM
S re
min
ders
to c
areg
iver
s an
d co
ndit
iona
l cas
h tr
ansf
ers
to
care
give
rs ..
. The
am
ount
of c
ash
the
care
give
r is
elig
ible
to w
in in
crea
ses
wit
h ea
ch s
ubse
quen
t vac
cine
thei
r chi
ld c
ompl
etes
.” [8]
1.0
Cli
ents
page 12
Cat
egor
yIn
terv
enti
ons
Syno
nym
sIl
lust
rati
ve e
xam
ples
*
2.1
Cli
ent
iden
tifi
cati
on
and
regi
stra
tion
Clie
nt id
enti
ty v
erifi
cati
on a
nd
enro
llmen
t int
o he
alth
ser
vice
s.
2.1.1
Veri
fy c
lien
t
uniq
ue id
enti
ty-
Bio
met
rics
, cli
ent
regi
stry
MP3
You
th:
“Par
tici
pant
’s bi
omet
rics
are
colle
cted
usi
ng M
obio
tric
s, a
sm
artp
hone
-bas
ed s
yste
m fo
r ide
ntifi
cati
on a
nd fo
llow
-up
at th
e di
ffer
ent s
ervi
ce d
eliv
ery
poin
t.” [8
]eC
ompl
ianc
e: “
A po
rtab
le b
iom
etric
iden
tific
atio
n sy
stem
ope
rate
d by
CH
Ws
that
is c
apab
le o
f ide
ntify
ing
pati
ents
by
thei
r fing
erpr
int
and
com
pilin
g pa
tien
t adh
eren
ce d
ata
for t
uber
culo
sis
drug
trea
tmen
t (D
OTS
).” [8
]
2.1.
2En
rol
clie
nt
for
he
alth
ser
vice
s/
clin
ical
car
e pl
an
- Re
gist
er c
lien
t/pa
tien
t fo
r he
alth
ser
vice
sM
omC
onne
ct:
“ Reg
iste
r eac
h pr
egna
ncy
at a
gov
ernm
ent h
ealt
h fa
cilit
y...”
[8]
iCM
M:
“The
firs
t com
pone
nt o
f the
iCC
M a
pplic
atio
n ca
ptur
es a
ll el
emen
ts o
f the
vill
age
regi
ster
use
d by
the
HSA
. The
app
licat
ion
has
built
-in
func
tion
alit
ies
that
sup
port
HSA
s to
regi
ster
chi
ldre
n be
twee
n th
e ag
es o
f tw
o an
d 59
mon
ths
only
and
adh
ere
to s
tand
ard
prot
ocol
s.” [8
]
2.2
Cli
ent
heal
th r
ecor
dsD
igit
ized
reco
rd u
sed
to c
aptu
re,
stor
e, a
cces
s an
d sh
are
heal
th
info
rmat
ion
on a
clie
nt o
r gro
upin
g of
clie
nts
[2].
2.2.
1Lo
ngi
tudi
nal
tra
ckin
g
of
clie
nts
’ hea
lth
stat
us
and
serv
ices
- D
om
ain
-spe
cifi
c re
gist
ers;
eRe
gist
ries
; eR
egis
ter,
dig
ital
reg
iste
r, d
igit
al s
ervi
ce
reco
rd, i
mm
uniz
atio
n r
egis
try
- D
igit
ized
reg
iste
rs f
or
lon
gitu
din
al h
ealt
h pr
ogr
am, i
ncl
udin
g tr
acki
ng
of
mig
ran
t po
pula
tio
ns’
ben
efits
an
d he
alth
sta
tus
- C
ase
man
agem
ent
logs
wit
hin
spe
cifi
c ta
rget
po
pula
tio
ns,
incl
udin
g m
igra
nt
popu
lati
on
s
mTI
KA:
“...al
low
s th
e he
alth
wor
ker t
o di
gita
lly re
gist
er c
hild
ren,
trac
k th
eir i
mm
uniz
atio
n re
cord
s, c
onne
ct w
ith
nona
dher
ent f
amili
es
befo
re v
acci
nati
on s
essi
ons
end.
” [8
]M
obyA
pp:
“Eac
h pr
egna
nt w
oman
sta
rtin
g AN
C, r
egar
dles
s of
HIV
sta
tus,
is re
gist
ered
into
a p
hone
-bas
ed e
lect
roni
c re
cord
. Thi
s ph
one-
base
d ap
p is
then
use
d to
pro
mpt
the
nurs
e to
pro
vide
(and
reco
rd) a
ste
p by
-ste
p as
sess
men
t of t
he m
othe
r and
reco
rd a
ll fin
ding
s in
th
e m
othe
r’s h
ealt
h re
cord
.” [8
]C
omm
Car
e M
obile
Job
Aid
for S
ahiy
as:
“...el
ectr
onic
dat
a co
llect
ion
to tr
ack
and
supp
ort t
he re
gist
rati
on, f
ollo
w-u
p, a
nd c
ompl
etio
n of
ca
re fo
r pre
gnan
t wom
en, p
ostp
artu
m m
othe
rs, a
nd c
hild
ren
up to
the
age
of tw
o ye
ars.”
[8]
Ope
nSm
art R
egis
ter P
latf
orm
(Ope
nSRP
): “a
clie
nt re
gist
ry fo
r enu
mer
atio
n an
d m
anag
ing
cont
inui
ty o
f car
e...”
[8]
Dis
tric
t Hea
lth
Info
rmat
ion
Syst
ems
2 (D
HIS
2) Tr
acke
r: “.
..let
s yo
u st
ore
info
rmat
ion
abou
t ind
ivid
uals
and
trac
k th
ese
pers
ons
over
tim
e us
ing
a fle
xibl
e se
t of i
dent
ifier
s.” [1
5]
2.2.
2M
anag
e cl
ien
t’s
stru
ctur
ed c
lin
ical
re
cord
s
- C
lin
ical
rec
ord
of
an in
divi
dual
wit
h in
form
atio
n t
hat
span
s ac
ross
mul
tipl
e cl
inic
al d
om
ain
s.
- El
ectr
on
ic m
edic
al r
eco
rd, p
erso
nal
hea
lth
reco
rd
Ope
nMed
ical
Rec
ord
Syst
em (O
penM
RS):
“…a
soft
war
e pl
atfo
rm a
nd a
refe
renc
e ap
plic
atio
n w
hich
ena
bles
des
ign
of a
cus
tom
ized
m
edic
al re
cord
s sy
stem
.” [16
]Ep
ic S
yste
ms:
“...p
rovi
de a
full
pict
ure
of h
ealt
h an
d m
embe
rshi
p in
form
atio
n fo
r you
r mem
bers
and
a s
ecur
e w
eb p
orta
l for
pro
vide
rs to
in
tera
ct w
ith
and
view
man
aged
car
e in
form
atio
n.”[1
7]
2.2.
3M
anag
e cl
ien
t’s
unst
ruct
ured
cli
nic
al
reco
rds
(e.g
. not
es,
imag
es, d
ocu
men
ts)
- El
ectr
on
ic m
edic
al r
eco
rd a
nd
pers
on
al
heal
th r
eco
rds
wit
h th
at a
re n
ot b
ased
on
stru
ctur
ed d
ata,
an
d in
stea
d in
clud
ing
not
es,
imag
es, d
ocu
men
ts
Unp
ublis
hed
exam
ple:
Rec
ords
are
uns
truc
ture
d an
d de
sign
ed to
be
read
able
by
peop
le ra
ther
than
mac
hine
read
able
, dis
tinc
t fro
m
stru
ctur
ed m
edic
al re
cord
s w
hich
are
cod
ed in
que
stio
n/an
swer
form
at.
2.2.
4Ro
utin
e he
alth
indi
cato
r da
ta c
oll
ecti
on
an
d m
anag
emen
t
- D
ata
coll
ecti
on
fo
r H
ealt
h M
anag
emen
t In
form
atio
n S
yste
m (H
MIS
)-
Cli
ent
heal
th d
ata
coll
ecti
on
Cat
holic
Rel
ief S
ervi
ces
(CRS
) Sen
egal
[Com
mC
are]
mH
ealt
h Pi
lot:
“Th
e ap
p w
as d
evel
oped
to c
olle
ct d
ata
on c
hild
hood
illn
esse
s an
d m
anag
e ch
ild d
iarr
hea
case
s th
at is
acc
essi
ble
via
a ce
ntra
l dat
abas
e.” [
8]SE
DA
Aut
omat
ed H
ealt
h D
ata
Exch
ange
Sys
tem
(SED
A):
“Dat
a [f
acili
ty-l
evel
indi
cato
rs] a
re a
ggre
gate
d in
a w
eb-b
ased
cen
tral
sys
tem
to
vis
ualiz
e an
d m
anag
e de
cisi
on s
uppo
rt. A
ggre
gate
-lev
el d
ata
repo
rted
into
the
mob
ile s
yste
m fr
om h
ealt
h fa
cilit
ies
are
auto
mat
ical
ly
uplo
aded
into
DH
IS2
once
val
idat
ed.” [
8]D
HIS
2:
“...us
ed a
s na
tion
al h
ealt
h in
form
atio
n sy
stem
s fo
r dat
a m
anag
emen
t and
ana
lysi
s pu
rpos
es, f
or h
ealt
h pr
ogra
m m
onito
ring
and
eval
uati
on.” [
15]
2.3
Hea
lthc
are
prov
ider
de
cisi
on s
uppo
rtD
igit
ized
job
aids
that
com
bine
an
indi
vidu
al’s
heal
th in
form
atio
n w
ith
the
heal
th-c
are
prov
ider
’s kn
owle
dge
and
clin
ical
pro
toco
ls
in o
rder
to a
ssis
t hea
lth-
care
pr
ovid
ers
in m
akin
g di
agno
sis
and
trea
tmen
t dec
isio
ns [2
].
2.3.
1Pr
ovi
de p
rom
pts
and
aler
ts b
ased
acc
ord
ing
to p
roto
col
- C
lin
ical
dec
isio
n s
uppo
rt, j
ob
aid-
-lin
ked
to
clie
nts
dig
ital
hea
lth
reco
rd-
Pro
visi
on
of
aler
ts f
or
abn
orm
al fi
ndi
ngs
/lab
va
lues
, “IF
TH
EN s
tate
men
ts,”
- Pr
oce
ss a
lgo
rith
ms
to s
uppo
rt s
ervi
ce d
eliv
ery
acco
rdin
g to
car
e pl
ans,
gui
deli
nes
, an
d pr
oto
cols
Cat
holic
Rel
ief S
ervi
ces
(CRS
) Sen
egal
[Com
mC
are]
mH
ealt
h Pi
lot:
“Th
e ap
p co
uld
prov
ide
appr
opria
te m
essa
ging
and
ste
ps fo
r CH
Ws
to in
crea
se th
e qu
alit
y of
hea
lth
serv
ices
or r
efer
ence
to th
e ne
xt le
vel h
ealt
h po
st.” [
8]eP
arto
gram
: “T
he a
pplic
atio
n us
es v
alid
ated
clin
ical
alg
orit
hms
base
d on
WH
O g
uide
lines
to a
lert
pro
vide
rs w
hen
crit
ical
obs
erva
tion
s ne
ed to
be
mad
e an
d if
they
are
abn
orm
al.” [
8]M
obile
App
for M
anag
emen
t of H
IV in
Pre
gnan
cy:
“Clin
ical
and
adm
inis
trat
ive
flags
are
gen
erat
ed o
n bo
th p
atie
nt-s
peci
fic a
nd c
linic
po
pula
tion
-spe
cific
bas
es fo
r mis
sed
appo
intm
ents
, con
cern
ing
labo
rato
ry a
naly
sis
valu
es, a
nd m
issi
ng in
form
atio
n.” [
8]
2.3.
2Pr
ovi
de c
heck
list
ac
cord
ing
to p
roto
col
- Jo
b ai
d an
d as
sess
men
t to
ols
to
sup
port
se
rvic
e de
live
ry—
may
or
may
not
be
lin
ked
to a
di
gita
l he
alth
rec
ord
- D
ecis
ion
tre
es t
o s
uppo
rt s
ervi
ce d
eliv
ery
acco
rdin
g to
car
e pl
ans,
gui
deli
nes
, an
d pr
oto
cols
cIM
CI:
“HSA
s ar
e gu
ided
ste
p by
ste
p th
roug
h th
e pr
oces
s of
regi
ster
ing
sick
chi
ldre
n, li
sten
ing
to th
eir c
ompl
aint
s, p
erfo
rmin
g an
ex
amin
atio
n, d
eliv
erin
g di
agno
sis,
and
adm
inis
terin
g tr
eatm
ent.
..” [8
] AS
HA
-Lin
ks:
“ The
app
licat
ion
incl
uded
a d
ecis
ion
tree
to g
uide
ASH
As th
roug
h as
sess
men
ts a
nd a
com
bina
tion
of t
ext p
rom
pts,
aud
io
reco
rdin
gs, a
nd im
ages
to a
ssis
t in
iden
tify
ing,
man
agin
g, a
nd re
ferr
ing
com
plic
atio
ns.” [
8]
2.3.
3Sc
reen
cli
ents
by
risk
or
othe
r he
alth
sta
tus
- To
ols
fo
r sc
reen
ing,
ris
k as
sess
men
t, tr
iage
an
d cl
ien
t pr
iori
tiza
tio
n;
- Jo
b ai
d to
sup
port
ser
vice
del
iver
y ac
cord
ing
to c
are
plan
s, g
uide
lin
es, a
nd
prot
oco
ls
Ope
nSRP
: “...
cont
ains
ele
ctro
nic
form
s w
ith
embe
dded
logi
c an
d de
cisi
on-s
uppo
rt, i
nclu
ding
che
cklis
ts a
nd a
lgor
ithm
s fo
r ris
k as
sess
men
t.” [8
]Em
erge
ncy
Tria
ge A
sses
smen
t and
Trea
tmen
t (ET
AT):
“Usi
ng th
e ap
p w
ith
the
ETAT
pro
toco
l, he
alth
wor
kers
sca
n th
roug
h th
e qu
eues
at
the
heal
th c
ente
rs a
sses
sing
eac
h ch
ild’s
for t
he le
vel o
f acu
ity
and
iden
tify
ing
child
ren
who
nee
d im
med
iate
ass
essm
ent.”
[8]
ePar
togr
am:
“...sy
ncs
data
wit
hin
a fa
cilit
y an
d au
tom
atic
ally
prio
ritiz
es la
borin
g cl
ient
s ba
sed
on c
linic
al a
lgor
ithm
s, h
elpi
ng s
uper
viso
rs
allo
cate
sta
ffing
app
ropr
iate
ly.”
Com
mC
are
Mob
ile Jo
b A
id fo
r Sah
iyas
: “It
is b
uilt
on
a co
mpl
ex d
ecis
ion-
and
logi
c-pr
oces
sing
pla
tfor
m th
at c
an s
uppo
rt th
ese
CH
Ws
to
deliv
er ti
mel
y se
rvic
es.” [
8]
2.0
Hea
lthc
are
Prov
ider
s
page 13Wo r l d H e a lt h O r g a n i z at i o n C l a s s i f i c at i o n o f D i g i ta l H e a lt h I n t e r v e n t i o n s
Cat
egor
yIn
terv
enti
ons
Syno
nym
sIl
lust
rati
ve e
xam
ples
*
2.4
Tele
med
icin
ePr
ovis
ion
of h
ealt
h-ca
re s
ervi
ces
at
a d
ista
nce
[2].
The
deliv
ery
of
heal
th c
are
serv
ices
, whe
re p
atie
nts
and
prov
ider
s ar
e se
para
ted
by
dist
ance
[3].
2.4.
1C
on
sult
atio
ns
betw
een
rem
ote
clie
nt
and
heal
thca
re p
rovi
der
- Re
mot
e co
nsu
ltat
ion
, tel
e co
nsu
ltat
ion
, cli
ent
base
d te
lem
edic
ine,
hot
lin
es, c
all
cen
ters
, he
lpli
ne
- Re
al-t
ime
tele
med
icin
e, i
nte
ract
ive
tele
med
icin
e, s
ynch
ron
ous
tel
emed
icin
e -
Cli
ent
call
s a
heal
th w
ork
er o
r ho
tlin
e to
re
ceiv
e cl
inic
al g
uida
nce
on
hea
lth
issu
e
Villa
geRe
ach
Chi
pata
la c
ha p
a Fo
ni (C
CPF
): “A
toll-
free
hea
lth
hotl
ine
that
is s
taff
ed b
y tr
aine
d he
alth
wor
kers
who
pro
vide
info
rmat
ion,
ad
vice
and
refe
rral
s ov
er th
e ph
one.
” [8]
Lign
e Ve
rte:
“By
dia
ling
a to
ll-fr
ee n
umbe
r, ca
llers
spe
ak to
a tr
aine
d ed
ucat
or a
nd g
et a
ccur
ate
info
rmat
ion
abou
t birt
h sp
acin
g, th
e co
rrec
t use
of f
amily
pla
nnin
g m
etho
ds, h
ow to
avo
id u
nwan
ted
preg
nanc
ies,
and
loca
ting
the
near
est p
artn
er c
linic
.” [8]
2.4.
2Re
mot
e m
on
ito
rin
g o
f cl
ien
t he
alth
or
diag
no
stic
dat
a by
pr
ovi
der
- Te
lem
on
ito
rin
g, v
irtu
al m
on
ito
rin
g.
- Pr
ovi
der
is a
ble
to m
on
ito
r cl
ien
t’s h
ealt
h th
roug
h an
impl
ante
d se
nso
r/di
agn
ost
ic
equi
pmen
t.
Body
Sen
sor N
etw
orks
for M
obile
Hea
lth
Mon
itor
ing:
“...p
atie
nts’
bios
igna
ls a
re m
easu
red
by m
eans
of b
ody
wor
n se
nsor
s w
hich
co
mm
unic
ate
wire
less
ly w
ith
a ha
ndhe
ld d
evic
e. A
larm
s an
d bi
osig
nals
can
be
tran
smitt
ed o
ver w
irele
ss c
omm
unic
atio
n lin
ks to
a
rem
ote
loca
tion
, and
a re
mot
e he
alth
pro
fess
iona
l can
vie
w th
e bi
osig
nals
via
a w
eb a
pplic
atio
n.” [
18]
2.4.
3Tr
ansm
issi
on
of
med
ical
da
ta (e
.g. i
mag
es, n
otes
, an
d vi
deo
s) t
o h
ealt
hcar
e pr
ovi
der
- St
ore
an
d fo
rwar
d-
Asy
nch
ron
ous
tel
emed
icin
eAf
rica
Tele
derm
atol
ogy
Proj
ect:
“Th
e Af
rica
Tele
derm
atol
ogy
Proj
ect o
pera
tes
in s
ix A
fric
an c
ount
ries,
usi
ng c
amer
as a
nd la
ptop
PC
s to
cap
ture
and
sen
d im
ages
of p
atie
nts
to s
peci
alis
ts in
oth
er A
fric
an c
ount
ries,
Aus
tria
and
the
Uni
ted
Stat
es p
rovi
ding
dia
gnos
tic
and
trea
tmen
t sup
port
loca
l phy
sici
ans,
der
mat
olog
ists
, and
hea
lth
care
wor
kers
in h
ospi
tals
and
clin
ics
in u
nder
serv
ed re
gion
s.”[1
9]
2.4.
4C
on
sult
atio
ns
for
case
m
anag
emen
t be
twee
n he
alth
care
pro
vide
rs
- In
ter-
pro
vide
r co
mm
unic
atio
n, c
lose
d us
er-
gro
up, h
ealt
h, h
ealt
h w
ork
er t
o h
ealt
h w
ork
er
com
mun
icat
ion
. -
Co
nsu
ltin
g ot
her
heal
th c
are
pro
vide
rs,
part
icul
arly
spe
cial
ists
, fo
r pa
tien
t ca
se
man
agem
ent;
see
kin
g se
con
d o
pin
ion
fo
r pa
tien
t ca
se m
anag
emen
t
Mob
ile-b
ased
Ear
ly D
etec
tion
and
Pre
vent
ion
of O
ral C
ance
r (m
EPO
C):
“Info
rmat
ion
colle
cted
in th
e m
obile
pho
nes
is u
ploa
ded
to
Ope
nMRS
A s
peci
alis
t in
rem
ote
loca
tion
s se
nds
the
reco
mm
enda
tion
thro
ugh
SMS.
” [8]
Peek
Vis
ion:
“A
heal
th w
orke
r wit
h m
inim
al tr
aini
ng c
an u
se P
eek
to g
athe
r det
aile
d cl
inic
al in
form
atio
n. Im
ages
are
gra
ded
and
pati
ents
di
agno
sed,
eit
her t
hrou
gh a
n au
tom
ated
pro
cess
, or v
ia c
asca
ding
of d
igit
al im
ages
to a
net
wor
k of
exp
erts
aro
und
the
wor
ld.” [
8]
2.5
Hea
lthc
are
prov
ider
co
mm
unic
atio
nC
omm
unic
atio
n an
d tr
ansm
issi
on
of in
form
atio
n am
ong
heal
thca
re
prov
ider
s, s
uper
viso
rs, a
nd h
ealt
h sy
stem
man
ager
s.
2.5.
1C
om
mun
icat
ion
fro
m
heal
thca
re p
rovi
der(
s) t
o su
perv
iso
r
mH
ERO
: “..
.a tw
o-w
ay, m
obile
pho
ne-b
ased
com
mun
icat
ion
syst
em th
at u
ses
basi
c te
xt m
essa
ging
, or S
MS,
to c
onne
ct m
inis
trie
s of
he
alth
and
hea
lth
wor
kers
.” [8]
Hea
lth
Enab
lem
ent a
nd L
earn
ing
Plat
form
(HEL
P):
“...in
clud
es a
gro
up c
hat f
eatu
re w
hich
allo
ws
CH
Ws
to s
hare
kno
wle
dge
and
com
mun
icat
e di
rect
ly w
ith
supe
rvis
ors,
and
a to
ll-fr
ee h
elp
desk
ena
bles
end
-use
rs to
acc
ess
supp
ort w
hen
they
nee
d it
.” [8]
2.5.
2C
om
mun
icat
ion
an
d pe
rfo
rman
ce f
eedb
ack
to
heal
thca
re p
rovi
der(
s)
- Su
ppo
rtiv
e su
perv
isio
n, c
oac
hin
g/m
ento
rin
g,
audi
t an
d fe
edba
ck-
Co
mm
unic
atio
n t
o h
ealt
hcar
e pr
ovi
der
base
d o
n t
heir
per
form
ance
Com
mC
are
for p
erfo
rman
ce fe
edba
ck in
Mad
hya
Prad
esh:
“To
com
mun
icat
e de
taile
d pe
rfor
man
ce fe
edba
ck, w
e se
t up
a ca
ll ce
nter
, pl
acin
g w
eekl
y ca
lls to
the
com
mun
ity
nutr
itio
n ex
pert
s an
d re
layi
ng fe
edba
ck o
n pe
rfor
man
ce m
etric
s. P
hone
cal
ls p
rovi
ded
a w
ay to
di
scus
s an
d re
ceiv
e fe
edba
ck fr
om th
e co
mm
unit
y nu
trit
ion
expe
rts
rega
rdin
g an
y w
ork-
rela
ted
issu
es, p
erso
nal n
eeds
, or t
echn
ical
di
fficu
ltie
s...”
[20]
2.5.
3Tr
ansm
it r
out
ine
new
s an
d w
ork
flo
w
not
ifica
tio
ns
to
heal
thca
re p
rovi
der(
s)
- A
lert
s an
d re
min
ders
to
hea
lthc
are
pro
vide
r-
Mot
ivat
ion
al c
om
mun
icat
ion
hea
lthc
are
pro
vide
r-
Tran
smis
sio
n o
f w
ork
flo
w u
pdat
es t
o
heal
thca
re p
rovi
der
eLM
IS B
angl
ades
h: “
This
sys
tem
gen
erat
es S
MS
aler
ts, s
ent i
n th
e na
me
of th
e M
inis
try
of H
ealt
h an
d Fa
mily
Wel
fare
(MO
HFW
)/
Proc
urem
ent a
nd L
ogis
tics
Man
agem
ent C
ell (
PLM
C) f
or a
ctio
n re
min
der -
tim
e to
repo
rt; t
rack
ing
repo
rt s
ubm
issi
on a
gain
st ti
mel
ine;
an
d al
erts
for p
oten
tial
sto
ck im
bala
nce/
stoc
k ou
t of F
P co
mm
odit
ies.”
[8]
Text
mes
sage
rem
inde
rs to
Ken
yan
heal
th w
orke
rs:
“...a
one-
way
com
mun
icat
ion
of te
xt m
essa
ge re
min
ders
abo
ut p
aedi
atric
mal
aria
ca
se m
anag
emen
t sen
t to
heal
th w
orke
rs’ p
erso
nal m
obile
pho
nes.
All
heal
th w
orke
rs d
oing
out
pati
ent c
onsu
ltat
ions
in th
e in
terv
enti
on
grou
p re
ceiv
ed te
xt m
essa
ges
abou
t mal
aria
cas
e-m
anag
emen
t for
6 m
onth
s.” [2
1]
2.5.
4Tr
ansm
it n
on
-ro
utin
e he
alth
eve
nt
aler
ts t
o he
alth
care
pro
vide
r(s)
- Pu
blic
hea
lth
rela
ted
upda
tes
to h
ealt
h w
ork
ers
- Em
erge
ncy
ale
rts
to h
ealt
hcar
e pr
ovi
ders
- M
ass
mes
sagi
ng
to h
ealt
hcar
e pr
ovi
ders
mH
ERO
: “..
.a tw
o-w
ay, m
obile
pho
ne-b
ased
com
mun
icat
ion
syst
em th
at u
ses
basi
c te
xt m
essa
ging
, or S
MS,
to c
onne
ct m
inis
trie
s of
he
alth
and
hea
lth
wor
kers
to c
omm
unic
ate
crit
ical
mes
sage
s to
hea
lth
wor
kers
dur
ing
a cr
isis
or e
mer
genc
y re
spon
se.” [
8]
2.5.
5Pe
er g
roup
fo
r he
alth
care
pro
vide
rs-
Peer
sup
port
, pee
r le
arn
ing,
clo
sed
user
gro
ups
- C
om
mun
icat
ion
mec
han
ism
s fo
r he
alth
care
pr
ovi
ders
to
dis
cuss
am
on
g th
emse
lves
Hea
lth
Enab
lem
ent a
nd L
earn
ing
Plat
form
(HEL
P):
“...in
clud
es a
gro
up c
hat f
eatu
re w
hich
allo
ws
CH
Ws
to s
hare
kno
wle
dge
and
com
mun
icat
e di
rect
ly w
ith
supe
rvis
ors,
and
a to
ll-fr
ee h
elp
desk
ena
bles
end
-use
rs to
acc
ess
supp
ort w
hen
they
nee
d it
.” [8]
2.6
Refe
rral
coo
rdin
atio
nD
igit
al a
ppro
ache
s to
sup
port
co
mm
unic
atio
n an
d co
ordi
nati
on
mec
hani
sms
to fa
cilit
ate
refe
rral
s,
both
wit
hin
the
heal
th s
ecto
r and
to
oth
er h
ealt
h-re
late
d se
ctor
s
2.6.
1C
oo
rdin
ate
emer
gen
cy
resp
on
se a
nd
tran
spo
rt-
Am
bula
nce
sys
tem
s, e
mer
gen
cy r
espo
nse
m
anag
emen
t-
Car
e co
ord
inat
ion
mH
ealt
h fo
r Saf
er D
eliv
erie
s: “.
..use
text
or v
oice
com
mun
icat
ion
to n
otify
a h
ealt
h fa
cilit
y th
at a
wom
an is
in tr
ansi
t to
ensu
re th
e fa
cilit
y is
pre
pare
d.” [
8]
2.6.
2M
anag
e re
ferr
als
betw
een
po
ints
of
serv
ice
wit
hin
hea
lth
sect
or
- C
lin
ical
task
lin
kin
g-
Refe
rral
man
agem
ent
Mob
ile-b
ased
Ear
ly D
etec
tion
and
Pre
vent
ion
of O
ral C
ance
r (m
EPO
C):
“CH
Ws
can
com
mun
icat
e w
ith
the
spec
ialis
ts th
roug
h op
en
Med
ical
Rec
ord
Syst
em (O
penM
RS) a
nd re
fer p
atie
nts
for t
reat
men
t in
a ti
mel
y m
anne
r.” [8
]eP
arto
gram
: “It
als
o st
reng
then
s th
e re
ferr
al p
athw
ay b
etw
een
perip
hera
l and
refe
rral
faci
litie
s by
ena
blin
g el
ectr
onic
tran
smis
sion
of
data
bet
wee
n fa
cilit
ies.
..” [8
]
2.6.
3M
anag
e re
ferr
als
betw
een
hea
lth
and
othe
r se
cto
rs (s
oci
al s
ervi
ces,
po
lice
, jus
tice
, eco
no
mic
su
ppo
rt s
chem
es)
- In
ters
ecto
ral
refe
rral
man
agem
ent
Unn
amed
pro
ject
: Re
ferr
als
do n
ot o
nly
take
pla
ce w
ithi
n th
e he
alth
sec
tor,
but a
lso
betw
een
the
heal
th s
ecto
r and
oth
er n
on-h
ealt
h se
rvic
es. F
or e
xam
ple
in c
ases
of g
ende
r bas
ed v
iole
nce
refe
rral
s m
ay b
e m
ade
betw
een
soci
al s
ervi
ces,
pol
ice,
just
ice
serv
ices
and
hea
lth
serv
ices
. In
case
s of
traffi
c cr
ashe
s re
ferr
als
are
need
ed b
etw
een
polic
e, e
mer
genc
y se
rvic
es a
nd h
ealt
h se
rvic
es. I
n ca
ses
of m
alnu
trit
ion
refe
rral
s m
ay b
e ne
eded
bet
wee
n he
alth
and
food
sup
port
ser
vice
s. I
n ca
ses
whe
re h
ealt
h an
d po
vert
y an
d cl
osel
y in
ter-
rela
ted,
re
ferr
als
may
be
need
ed b
etw
een
econ
omic
str
engt
heni
ng, s
ocia
l ser
vice
s an
d he
alth
ser
vice
s. D
igit
al s
yste
ms
may
pro
vide
feat
ures
for
supp
orti
ng a
nd tr
acki
ng th
ese
refe
rral
s.
2.0
Hea
lthc
are
Prov
ider
s
page 14
Cat
egor
yIn
terv
enti
ons
Syno
nym
sIl
lust
rati
ve e
xam
ples
*
2.7
Sche
duli
ng a
nd
acti
vity
pla
nnin
g fo
r he
alth
care
pro
vide
rsAu
tom
ated
sch
edul
ing
and
plan
ning
tool
s to
ass
ist i
n pr
iorit
izin
g pr
ovid
er fo
llow
-up
. Dig
ital
wor
k pl
anni
ng a
nd
sche
dulin
g to
ols
can
take
the
form
of r
emin
ders
to h
ealt
hcar
e pr
ovid
ers
on u
pcom
ing/
over
due
serv
ices
and
oth
er m
echa
nism
s to
flag
clie
nts
that
nee
d to
be
prio
ritiz
ed fo
r ser
vice
del
iver
y [4
].
2.7.1
Sche
dule
cli
ent
appo
intm
ents
bas
ed o
n cl
inic
al c
are
plan
- A
uto
mat
ed s
ched
ulin
g o
f cl
ien
t’s h
ealt
h ap
poin
tmen
tsO
penS
RP:
“The
pla
tfor
m in
tegr
ates
sch
edul
ing
and
serv
ice
rem
inde
r too
ls...”
[8]
2.7.
2Sc
hedu
le h
ealt
hcar
e pr
ovi
der’
s ac
tivi
ties
- W
ork
pla
nn
ing
- Pr
iori
tiza
tio
n o
f da
ily
acti
viti
es/t
asks
-
Task
man
agem
ent
mC
ARE
: “..
.inte
grat
ed m
obile
pho
ne a
nd s
erve
r-ba
sed
soft
war
e sy
stem
for C
HW
s th
at h
elps
them
to d
igit
ally
man
age
thei
r dai
ly
wor
kflow
.” [8]
Com
mC
are
for h
ome-
base
d ca
re:
“...pr
ovid
es C
HW
s a
chec
klis
t of a
ctiv
itie
s w
hich
are
exp
ecte
d to
be
perf
orm
ed d
urin
g ea
ch h
ome
visi
t, as
wel
l as
rem
inde
rs o
f app
oint
men
ts.” [
8]
2.8
Hea
lthc
are
prov
ider
tr
aini
ngTh
e m
anag
emen
t and
pro
visi
on
of e
duca
tion
and
trai
ning
con
tent
in
ele
ctro
nic
form
for h
ealt
h pr
ofes
sion
als
[2].
In c
ontr
ast
to d
ecis
ion
supp
ort,
heal
thca
re
prov
ider
trai
ning
doe
s no
t nee
d to
be
use
d at
the
poin
t of c
are.
2.8.
1Pr
ovi
de t
rain
ing
con
ten
t an
d re
fere
nce
mat
eria
l
to h
ealt
hcar
e pr
ovi
der(
s)
- m
Lear
nin
g, e
Lear
nin
g, v
irtu
al l
earn
ing
- Ed
ucat
ion
al v
ideo
s, m
ulti
med
ia l
earn
ing
and
acce
ss t
o c
lin
ical
gui
dan
ce-
Trai
nin
g re
info
rcem
ent
and
refr
eshe
rs
Proj
ecti
ng H
ealt
h: “
Fron
tlin
e he
alth
care
wor
kers
are
equ
ippe
d w
ith
educ
atio
nal v
ideo
s fo
r con
duct
ing
vide
o sc
reen
ings
and
lead
ing
grou
p di
scus
sion
s on
issu
es ra
ised
in th
e vi
deos
.” [8]
iDEA
: Int
erac
tive
Dis
tanc
e Ed
ucat
ion
App
licat
ion:
“Pr
ovid
ing
heal
th w
orke
rs w
ith
mob
ile-b
ased
vid
eo in
stru
ctio
n an
d re
fere
nce
mat
eria
ls...”
[8]
Safe
Del
iver
y A
pp:
“The
App
con
tain
s th
ree
anim
ated
clin
ical
inst
ruct
ion
film
s...c
an a
lso
be u
sed
as a
refe
renc
e to
ol d
urin
g cl
inic
al
wor
k...”
[8]
Opp
iaM
obile
: “...
mob
ile le
arni
ng p
latf
orm
for d
eliv
erin
g le
arni
ng c
onte
nt, v
ideo
, and
qui
zzes
.”[8]
Mob
ile A
cade
my:
“...
an in
tera
ctiv
e vo
ice
resp
onse
(IVR
) tra
inin
g co
urse
des
igne
d to
refr
esh
CH
Ws’
know
ledg
e of
sim
ple
step
s fa
mili
es
can
take
to im
prov
e th
e he
alth
of m
othe
rs a
nd b
abie
s, a
nd to
impr
ove
thei
r abi
lity
to c
lear
ly c
omm
unic
ate
them
.” [8]
2.8.
2A
sses
s ca
paci
ty o
f he
alth
care
pro
vide
r(s)
- Q
uizz
es a
nd
and
inte
ract
ive
exer
cise
s to
ass
ess
kno
wle
dge
and
com
pete
nce
Safe
Del
iver
y A
pp:
“ The
App
feat
ures
pus
h m
essa
ges
wit
h qu
iz q
uest
ions
spu
rrin
g th
e he
alth
wor
ker t
o us
e th
e ap
plic
atio
n to
upd
ate
thei
r kno
wle
dge.
” [8]
2.9
Pres
crip
tion
and
m
edic
atio
n m
anag
emen
tD
igit
al a
ppro
ache
s to
faci
litat
e th
e m
anag
emen
t of p
resc
ripti
ons,
in
clud
ing
trac
king
pre
scrip
tion
or
ders
and
mon
itor
ing
phys
ical
co
nsum
ptio
n of
med
icat
ion.
2.9.
1Tr
ansm
it o
r tr
ack
pres
crip
tio
n o
rder
s-
Trac
kin
g m
edic
atio
n o
rder
s-
Too
ls t
o p
lace
pre
scri
ptio
n o
rder
s o
r tr
ack
the
stat
us o
f pr
escr
ipti
on
s an
d re
fill
s
Bahm
ni:
“Pha
rmac
y m
anag
emen
t ena
bles
a h
ealt
hcar
e fa
cilit
y to
eff
ecti
vely
dis
pens
e m
edic
atio
ns to
pat
ient
s, m
onito
r & m
anag
e st
ock
and
supp
liers
and
in b
illin
g an
d ac
coun
ting
for d
rugs
and
ser
vice
s.” [2
2]
2.9.
2Tr
ack
clie
nt’
s
med
icat
ion
co
nsu
mpt
ion
- M
on
ito
rin
g ad
here
nce
to
med
icat
ion
s an
d dr
ugs
- M
on
ito
rin
g/o
bser
vin
g w
heth
er p
atie
nts
hav
e ta
ken
the
ir p
resc
ribe
d m
edic
atio
ns
SIM
pill®
Med
icat
ion
Adh
eren
ces
Solu
tion
: “W
hen
the
pati
ent o
pens
his
bot
tle
of m
edic
atio
n, a
n au
tom
atic
SM
S m
essa
ge is
sen
t fro
m
the
bott
le’s
SIM
car
d to
the
pati
ent’s
hea
lth
faci
lity,
whi
ch re
cord
s th
at th
e m
edic
atio
n ha
s be
en ta
ken.
“ [8]
2.9.
3Re
port
adv
erse
dr
ug e
ven
ts-
Repo
rtin
g co
ntr
ain
dica
tio
ns,
dru
g in
tera
ctio
ns,
adv
erse
eff
ects
Text
ing-
base
d re
port
ing
of a
dver
se d
rug
reac
tion
s to
ens
ure
pati
ent s
afet
y: “
Text
mes
sage
s re
ceiv
ed b
y an
y of
the
thre
e m
obile
pho
ne
com
pani
es w
ere
dire
cted
to a
cen
tral
sys
tem
. The
sys
tem
was
acc
essi
ble
24 h
ours
a d
ay a
nd 7
day
s a
wee
k an
d w
as c
onfig
ured
to s
et a
n al
ert i
f the
re w
as a
clu
ster
of s
imila
r adv
erse
dru
g re
acti
ons
(AD
Rs) f
rom
one
or m
ore
drug
s or
one
dru
g re
peat
edly
repo
rted
for s
ever
al
ADRs
ent
erin
g th
e sy
stem
.” [23
]
2.10
Labo
rato
ry a
nd
diag
nost
ics
imag
ing
man
agem
ent
Dig
ital
app
roac
hes
to m
anag
e an
d ex
chan
ge la
bora
tory
and
dia
gnos
tic
orde
rs a
nd re
sult
s.
2.10
.1Tr
ansm
it c
lien
t di
agn
ost
ic r
esul
t to
he
alth
care
pro
vide
r
- La
bora
tory
res
ults
man
agem
ent
- Te
sts
resu
lts
com
mun
icat
ion
bet
wee
n he
alth
care
pro
vide
rs
Proj
ect M
wan
a-SM
S fo
r Ear
ly In
fant
Dia
gnos
is o
f HIV
: “W
hen
test
resu
lts
are
read
y, th
e ce
ntra
l SM
S sy
stem
sen
ds a
mes
sage
ale
rtin
g th
e cl
inic
wor
kers
.” [8]
2.10
.2Tr
ansm
it a
nd
trac
k di
agn
ost
ic o
rder
s-
Labo
rato
ry t
est
req
uisi
tio
n a
nd
man
agem
ent
Bahm
ni-O
penE
LIS:
“W
hen
a pa
tien
t is
regi
ster
ed in
Bah
mni
usi
ng th
e re
gist
rati
on m
odul
e, th
e pa
tien
t nam
e an
d de
mog
raph
ic
info
rmat
ion
is s
ynce
d au
tom
atic
ally
to th
e la
b sy
stem
. Whe
n th
e pa
tien
t goe
s to
the
lab,
the
lab
tech
nici
an c
olle
ctin
g th
e sa
mpl
e ca
n lo
ok
up th
e pa
tien
t and
add
test
s fo
r tha
t pat
ient
.” [22
]
2.10
.3C
aptu
re d
iagn
ost
ic
resu
lts
fro
m d
igit
al
devi
ces
- Po
int
of
care
dia
gno
stic
s-
Dia
gno
stic
acc
esso
ries
add
ed t
o d
igit
al
devi
ces
FioN
et:”..
.a m
obile
, in
vitr
o di
agno
stic
dev
ice
that
inte
rpre
ts c
omm
erci
ally
ava
ilabl
e RD
Ts fo
r inf
ecti
ous
dise
ases
...; a
irFio
is a
sec
ure
clou
d da
taba
se th
at s
tore
s po
int -
of-c
are
data
tran
smitt
ed b
y D
eki o
ver l
ocal
mob
ile p
hone
net
wor
ks.” [
8]G
XAle
rt:
A sy
stem
whi
ch a
ttac
hes
a 3G
USB
mod
em to
Gen
eXpe
rt m
achi
nes
and
ensu
res
real
-tim
e re
port
ing
of re
sult
s to
a
cent
raliz
ed d
atab
ase.
” [8]
Mob
ile P
hone
Mic
rosc
opy
for t
he d
iagn
osis
of P
aras
itic
Wor
m In
fect
ions
: “C
onve
rts
iPho
ne in
to a
fiel
d m
icro
scop
e fo
r poi
nt-o
f-ca
re
diag
nosi
s of
soi
l-tr
ansm
itted
hel
min
ths
in s
choo
l-ag
ed c
hild
ren.
” [8]
2.10
.4Tr
ack
bio
logi
cal
spec
imen
s -
Trac
kin
g o
f bl
oo
d do
nat
ion
sU
nnam
ed e
xam
ple:
Bio
logi
cal p
rodu
cts
such
as
bloo
d do
nati
ons
and
spec
imen
s ar
e co
llect
ed, t
este
d an
d tr
ansp
orte
d to
the
poin
t of
use.
Dig
ital
sys
tem
s ca
n su
ppor
t the
iden
tific
atio
n an
d tr
acki
ng o
f the
se p
rodu
cts
from
the
poin
t of c
olle
ctio
n, th
roug
h qu
alit
y co
ntro
l pr
oced
ures
, to
the
poin
t of u
se.
2.0
Hea
lthc
are
Prov
ider
s
page 15Wo r l d H e a lt h O r g a n i z at i o n C l a s s i f i c at i o n o f D i g i ta l H e a lt h I n t e r v e n t i o n s
Cat
egor
yIn
terv
enti
ons
Syno
nym
sIl
lust
rati
ve e
xam
ples
*
2.7
Sche
duli
ng a
nd
acti
vity
pla
nnin
g fo
r he
alth
care
pro
vide
rsAu
tom
ated
sch
edul
ing
and
plan
ning
tool
s to
ass
ist i
n pr
iorit
izin
g pr
ovid
er fo
llow
-up
. Dig
ital
wor
k pl
anni
ng a
nd
sche
dulin
g to
ols
can
take
the
form
of r
emin
ders
to h
ealt
hcar
e pr
ovid
ers
on u
pcom
ing/
over
due
serv
ices
and
oth
er m
echa
nism
s to
flag
clie
nts
that
nee
d to
be
prio
ritiz
ed fo
r ser
vice
del
iver
y [4
].
2.7.1
Sche
dule
cli
ent
appo
intm
ents
bas
ed o
n cl
inic
al c
are
plan
- A
uto
mat
ed s
ched
ulin
g o
f cl
ien
t’s h
ealt
h ap
poin
tmen
tsO
penS
RP:
“The
pla
tfor
m in
tegr
ates
sch
edul
ing
and
serv
ice
rem
inde
r too
ls...”
[8]
2.7.
2Sc
hedu
le h
ealt
hcar
e pr
ovi
der’
s ac
tivi
ties
- W
ork
pla
nn
ing
- Pr
iori
tiza
tio
n o
f da
ily
acti
viti
es/t
asks
-
Task
man
agem
ent
mC
ARE
: “..
.inte
grat
ed m
obile
pho
ne a
nd s
erve
r-ba
sed
soft
war
e sy
stem
for C
HW
s th
at h
elps
them
to d
igit
ally
man
age
thei
r dai
ly
wor
kflow
.” [8]
Com
mC
are
for h
ome-
base
d ca
re:
“...pr
ovid
es C
HW
s a
chec
klis
t of a
ctiv
itie
s w
hich
are
exp
ecte
d to
be
perf
orm
ed d
urin
g ea
ch h
ome
visi
t, as
wel
l as
rem
inde
rs o
f app
oint
men
ts.” [
8]
2.8
Hea
lthc
are
prov
ider
tr
aini
ngTh
e m
anag
emen
t and
pro
visi
on
of e
duca
tion
and
trai
ning
con
tent
in
ele
ctro
nic
form
for h
ealt
h pr
ofes
sion
als
[2].
In c
ontr
ast
to d
ecis
ion
supp
ort,
heal
thca
re
prov
ider
trai
ning
doe
s no
t nee
d to
be
use
d at
the
poin
t of c
are.
2.8.
1Pr
ovi
de t
rain
ing
con
ten
t an
d re
fere
nce
mat
eria
l
to h
ealt
hcar
e pr
ovi
der(
s)
- m
Lear
nin
g, e
Lear
nin
g, v
irtu
al l
earn
ing
- Ed
ucat
ion
al v
ideo
s, m
ulti
med
ia l
earn
ing
and
acce
ss t
o c
lin
ical
gui
dan
ce-
Trai
nin
g re
info
rcem
ent
and
refr
eshe
rs
Proj
ecti
ng H
ealt
h: “
Fron
tlin
e he
alth
care
wor
kers
are
equ
ippe
d w
ith
educ
atio
nal v
ideo
s fo
r con
duct
ing
vide
o sc
reen
ings
and
lead
ing
grou
p di
scus
sion
s on
issu
es ra
ised
in th
e vi
deos
.” [8]
iDEA
: Int
erac
tive
Dis
tanc
e Ed
ucat
ion
App
licat
ion:
“Pr
ovid
ing
heal
th w
orke
rs w
ith
mob
ile-b
ased
vid
eo in
stru
ctio
n an
d re
fere
nce
mat
eria
ls...”
[8]
Safe
Del
iver
y A
pp:
“The
App
con
tain
s th
ree
anim
ated
clin
ical
inst
ruct
ion
film
s...c
an a
lso
be u
sed
as a
refe
renc
e to
ol d
urin
g cl
inic
al
wor
k...”
[8]
Opp
iaM
obile
: “...
mob
ile le
arni
ng p
latf
orm
for d
eliv
erin
g le
arni
ng c
onte
nt, v
ideo
, and
qui
zzes
.”[8]
Mob
ile A
cade
my:
“...
an in
tera
ctiv
e vo
ice
resp
onse
(IVR
) tra
inin
g co
urse
des
igne
d to
refr
esh
CH
Ws’
know
ledg
e of
sim
ple
step
s fa
mili
es
can
take
to im
prov
e th
e he
alth
of m
othe
rs a
nd b
abie
s, a
nd to
impr
ove
thei
r abi
lity
to c
lear
ly c
omm
unic
ate
them
.” [8]
2.8.
2A
sses
s ca
paci
ty o
f he
alth
care
pro
vide
r(s)
- Q
uizz
es a
nd
and
inte
ract
ive
exer
cise
s to
ass
ess
kno
wle
dge
and
com
pete
nce
Safe
Del
iver
y A
pp:
“ The
App
feat
ures
pus
h m
essa
ges
wit
h qu
iz q
uest
ions
spu
rrin
g th
e he
alth
wor
ker t
o us
e th
e ap
plic
atio
n to
upd
ate
thei
r kno
wle
dge.
” [8]
2.9
Pres
crip
tion
and
m
edic
atio
n m
anag
emen
tD
igit
al a
ppro
ache
s to
faci
litat
e th
e m
anag
emen
t of p
resc
ripti
ons,
in
clud
ing
trac
king
pre
scrip
tion
or
ders
and
mon
itor
ing
phys
ical
co
nsum
ptio
n of
med
icat
ion.
2.9.
1Tr
ansm
it o
r tr
ack
pres
crip
tio
n o
rder
s-
Trac
kin
g m
edic
atio
n o
rder
s-
Too
ls t
o p
lace
pre
scri
ptio
n o
rder
s o
r tr
ack
the
stat
us o
f pr
escr
ipti
on
s an
d re
fill
s
Bahm
ni:
“Pha
rmac
y m
anag
emen
t ena
bles
a h
ealt
hcar
e fa
cilit
y to
eff
ecti
vely
dis
pens
e m
edic
atio
ns to
pat
ient
s, m
onito
r & m
anag
e st
ock
and
supp
liers
and
in b
illin
g an
d ac
coun
ting
for d
rugs
and
ser
vice
s.” [2
2]
2.9.
2Tr
ack
clie
nt’
s
med
icat
ion
co
nsu
mpt
ion
- M
on
ito
rin
g ad
here
nce
to
med
icat
ion
s an
d dr
ugs
- M
on
ito
rin
g/o
bser
vin
g w
heth
er p
atie
nts
hav
e ta
ken
the
ir p
resc
ribe
d m
edic
atio
ns
SIM
pill®
Med
icat
ion
Adh
eren
ces
Solu
tion
: “W
hen
the
pati
ent o
pens
his
bot
tle
of m
edic
atio
n, a
n au
tom
atic
SM
S m
essa
ge is
sen
t fro
m
the
bott
le’s
SIM
car
d to
the
pati
ent’s
hea
lth
faci
lity,
whi
ch re
cord
s th
at th
e m
edic
atio
n ha
s be
en ta
ken.
“ [8]
2.9.
3Re
port
adv
erse
dr
ug e
ven
ts-
Repo
rtin
g co
ntr
ain
dica
tio
ns,
dru
g in
tera
ctio
ns,
adv
erse
eff
ects
Text
ing-
base
d re
port
ing
of a
dver
se d
rug
reac
tion
s to
ens
ure
pati
ent s
afet
y: “
Text
mes
sage
s re
ceiv
ed b
y an
y of
the
thre
e m
obile
pho
ne
com
pani
es w
ere
dire
cted
to a
cen
tral
sys
tem
. The
sys
tem
was
acc
essi
ble
24 h
ours
a d
ay a
nd 7
day
s a
wee
k an
d w
as c
onfig
ured
to s
et a
n al
ert i
f the
re w
as a
clu
ster
of s
imila
r adv
erse
dru
g re
acti
ons
(AD
Rs) f
rom
one
or m
ore
drug
s or
one
dru
g re
peat
edly
repo
rted
for s
ever
al
ADRs
ent
erin
g th
e sy
stem
.” [23
]
2.10
Labo
rato
ry a
nd
diag
nost
ics
imag
ing
man
agem
ent
Dig
ital
app
roac
hes
to m
anag
e an
d ex
chan
ge la
bora
tory
and
dia
gnos
tic
orde
rs a
nd re
sult
s.
2.10
.1Tr
ansm
it c
lien
t di
agn
ost
ic r
esul
t to
he
alth
care
pro
vide
r
- La
bora
tory
res
ults
man
agem
ent
- Te
sts
resu
lts
com
mun
icat
ion
bet
wee
n he
alth
care
pro
vide
rs
Proj
ect M
wan
a-SM
S fo
r Ear
ly In
fant
Dia
gnos
is o
f HIV
: “W
hen
test
resu
lts
are
read
y, th
e ce
ntra
l SM
S sy
stem
sen
ds a
mes
sage
ale
rtin
g th
e cl
inic
wor
kers
.” [8]
2.10
.2Tr
ansm
it a
nd
trac
k di
agn
ost
ic o
rder
s-
Labo
rato
ry t
est
req
uisi
tio
n a
nd
man
agem
ent
Bahm
ni-O
penE
LIS:
“W
hen
a pa
tien
t is
regi
ster
ed in
Bah
mni
usi
ng th
e re
gist
rati
on m
odul
e, th
e pa
tien
t nam
e an
d de
mog
raph
ic
info
rmat
ion
is s
ynce
d au
tom
atic
ally
to th
e la
b sy
stem
. Whe
n th
e pa
tien
t goe
s to
the
lab,
the
lab
tech
nici
an c
olle
ctin
g th
e sa
mpl
e ca
n lo
ok
up th
e pa
tien
t and
add
test
s fo
r tha
t pat
ient
.” [22
]
2.10
.3C
aptu
re d
iagn
ost
ic
resu
lts
fro
m d
igit
al
devi
ces
- Po
int
of
care
dia
gno
stic
s-
Dia
gno
stic
acc
esso
ries
add
ed t
o d
igit
al
devi
ces
FioN
et:”..
.a m
obile
, in
vitr
o di
agno
stic
dev
ice
that
inte
rpre
ts c
omm
erci
ally
ava
ilabl
e RD
Ts fo
r inf
ecti
ous
dise
ases
...; a
irFio
is a
sec
ure
clou
d da
taba
se th
at s
tore
s po
int -
of-c
are
data
tran
smitt
ed b
y D
eki o
ver l
ocal
mob
ile p
hone
net
wor
ks.” [
8]G
XAle
rt:
A sy
stem
whi
ch a
ttac
hes
a 3G
USB
mod
em to
Gen
eXpe
rt m
achi
nes
and
ensu
res
real
-tim
e re
port
ing
of re
sult
s to
a
cent
raliz
ed d
atab
ase.
” [8]
Mob
ile P
hone
Mic
rosc
opy
for t
he d
iagn
osis
of P
aras
itic
Wor
m In
fect
ions
: “C
onve
rts
iPho
ne in
to a
fiel
d m
icro
scop
e fo
r poi
nt-o
f-ca
re
diag
nosi
s of
soi
l-tr
ansm
itted
hel
min
ths
in s
choo
l-ag
ed c
hild
ren.
” [8]
2.10
.4Tr
ack
bio
logi
cal
spec
imen
s -
Trac
kin
g o
f bl
oo
d do
nat
ion
sU
nnam
ed e
xam
ple:
Bio
logi
cal p
rodu
cts
such
as
bloo
d do
nati
ons
and
spec
imen
s ar
e co
llect
ed, t
este
d an
d tr
ansp
orte
d to
the
poin
t of
use.
Dig
ital
sys
tem
s ca
n su
ppor
t the
iden
tific
atio
n an
d tr
acki
ng o
f the
se p
rodu
cts
from
the
poin
t of c
olle
ctio
n, th
roug
h qu
alit
y co
ntro
l pr
oced
ures
, to
the
poin
t of u
se.
3.0
Hea
lth
Syst
em M
anag
ers
Cat
egor
yIn
terv
enti
ons
Syno
nym
sIl
lust
rati
ve e
xam
ples
*
3.1
Hum
an r
esou
rce
man
agem
ent
Dig
ital
app
roac
hes
to m
anag
e th
e he
alth
wor
kfor
ce, i
nclu
ding
th
e us
e of
dat
abas
es to
reco
rd
trai
ning
leve
ls, c
erti
ficat
ions
, and
id
enti
ficat
ion
of h
ealt
h w
orke
rs.
3.1.1
List
hea
lth
wo
rkfo
rce
cadr
es a
nd
rela
ted
iden
tifi
cati
on
info
rmat
ion
- H
ealt
h w
ork
er r
egis
try;
pro
vide
r re
gist
ry-
Do
cum
enta
tio
n o
f he
alth
care
pro
vide
rs’
dem
ogr
aphi
cs, i
den
tifi
cati
on
, hea
lth
faci
lity
as
sign
men
t, an
d ot
her
iden
tifi
er in
form
atio
n
iHRI
S M
anag
e: “.
.. su
ppor
ts M
inis
try
of H
ealt
h an
d ot
her s
ervi
ce d
eliv
ery
orga
niza
tion
s to
trac
k, m
anag
e, d
eplo
y, an
d m
ap th
eir h
ealt
h w
orkf
orce
.” [24
]
3.1.
2M
on
ito
r pe
rfo
rman
ce o
f he
alth
care
pro
vide
r(s)
- Re
mot
e m
on
ito
rin
g o
f he
alth
care
pro
vide
rs-
Wo
rkfo
rce
man
agem
ent
- A
udit
an
d fe
edba
ck
- Su
perv
isio
n, s
uppo
rtiv
e su
perv
isio
n-
Cli
nic
al ta
sk t
rack
ing
iCC
M:
The
appl
icat
ion
incl
udes
a “r
outi
ne s
uper
visi
on c
heck
list o
n fe
w k
ey in
dica
tors
of p
erfo
rman
ce b
y th
e H
ealt
h Su
rvei
llanc
e As
sist
ants
(HSA
s)...
and
a da
shbo
ard
that
ena
bles
use
rs to
see
at a
gla
nce
the
stat
us o
f the
wor
k be
ing
done
by
HSA
.” [8]
Hea
lth
Enab
lem
ent a
nd L
earn
ing
Plat
form
(HEL
P):
“Com
mun
ity
Hea
lth
Exte
nsio
n W
orke
rs (C
HEW
s)re
ceiv
e w
eekl
y re
port
s on
wor
ker
perf
orm
ance
and
are
abl
e to
targ
et th
ose
in n
eed
of a
ddit
iona
l sup
port
.” [8]
mH
ealt
h fo
r Com
mun
ity-
Base
d Fa
mily
Pla
nnin
g Se
rvic
es:
“A s
yste
m fo
r the
fiel
d te
am to
mon
itor d
ata
and
prov
ide
feed
back
to C
HW
s on
a w
eekl
y ba
sis.
..” [8
]
3.1.
3M
anag
e re
gist
rati
on
/ce
rtifi
cati
on
of
heal
thca
re p
rovi
der(
s)
- M
anag
emen
t o
f he
alth
wo
rker
reg
istr
atio
n-
Cer
tifi
cati
on
or
lice
nsu
re w
ith
regu
lato
ry
auth
ori
ty s
uch
as a
pro
fess
ion
al c
oun
cil
iHRI
S Q
ualif
y: “.
..ena
bles
a li
cens
ing
or c
erti
ficat
ion
auth
orit
y, su
ch a
s a
nurs
ing
coun
cil,
to tr
ack
com
plet
e da
ta o
n a
heal
th w
orke
r cad
re
from
pre
-ser
vice
trai
ning
thro
ugh
attr
itio
n. It
cap
ture
s in
form
atio
n ab
out h
ealt
h pr
ofes
sion
als
in th
at c
adre
from
the
tim
e th
ey e
nter
pre
-se
rvic
e tr
aini
ng th
roug
h re
gist
rati
on, c
erti
ficat
ion,
and
/or l
icen
sure
.” [24
]
3.1.
4Re
cord
tra
inin
g in
form
atio
n o
n he
alth
care
pro
vide
r(s)
- Tr
ack
or
man
age
pres
ervi
ce a
nd/
or
in-s
ervi
ce
trai
nin
g re
ceiv
ed b
y a
heal
th w
ork
eriH
RIS
Trai
n: “
Con
solid
ates
hea
lth
wor
ker t
rain
ing
atte
ndan
ce a
nd re
late
d da
ta fr
om s
ever
al tr
aini
ng o
rgan
izat
ions
into
a c
entr
aliz
ed
data
base
that
can
be
quer
ied
and
used
to g
ener
ate
repo
rts
for f
urth
er a
naly
sis.”
[24]
3.2
Supp
ly c
hain
m
anag
emen
tD
igit
al a
ppro
ache
s fo
r mon
itor
ing
and
repo
rtin
g st
ock
leve
ls,
cons
umpt
ion
and
dist
ribut
ion
of
med
ical
com
mod
itie
s. T
his
can
incl
ude
the
use
of c
omm
unic
atio
n sy
stem
s (e
.g. S
MS)
and
dat
a da
shbo
ards
to m
anag
e an
d re
port
on
supp
ly le
vels
of m
edic
al
com
mod
itie
s.
3.2.
1M
anag
e in
ven
tory
an
d di
stri
buti
on
of
heal
th
com
mo
diti
es
- St
ock
mo
nit
ori
ng
of
heal
th c
om
mo
diti
es-
Logi
stic
s m
anag
emen
t-
Sto
ck m
anag
emen
t-
Co
mm
odi
ty s
ecur
ity
Inte
rnat
iona
l Qua
lity
Shor
t Mes
sagi
ng S
yste
m (I
QSM
S):
“Hea
lthc
are
wor
kers
’ sen
d pr
efor
mat
ted
com
mod
ity
repo
rts
on k
ey H
IV s
tock
st
atus
to a
cen
tral
ser
ver v
ia S
MS.
The
tool
ena
bles
dis
tric
ts to
full
orde
r of a
ll co
mm
odit
ies
as q
uant
ified
by
the
syst
em a
nd b
ased
on
wha
t has
bee
n co
nsum
ed.” [
8]eL
MIS
Ban
glad
esh:
“...e
lect
roni
c Lo
gist
ics
Man
agem
ent I
nfor
mat
ion
Syst
em (e
LMIS
) col
lect
s da
ta o
n co
nsum
ptio
n an
d av
aila
bilit
y of
FP
com
mod
itie
s, w
hich
is c
onso
lidat
ed a
nd e
nter
ed fo
r [vi
ewin
g on
] an
inte
ract
ive
dash
boar
d.” [
8]cS
tock
: “H
SAs
sent
a to
ll-fr
ee S
MS
usin
g th
eir p
erso
nal m
obile
pho
nes
repo
rtin
g cu
rren
t sto
ck le
vels
and
med
icin
es re
ceiv
ed...”
[8]
3.2.
2N
otif
y st
ock
lev
els
of
heal
th c
om
mo
diti
es-
Sto
cko
ut p
reve
nti
on
an
d m
on
ito
rin
g-
Ale
rts
and
not
ifica
tio
ns
of
sto
ck l
evel
s-
Rest
ock
ing
coo
rdin
atio
n
iCC
M:
“Hea
lth
wor
kers
can
repo
rt s
tock
leve
ls a
nd th
en s
ubm
itted
the
data
to c
Stoc
k, a
pro
gram
to im
prov
e th
e tr
acki
ng o
f in
vent
orie
s...”
[8]
cSto
ck:
“... a
utom
atic
ally
cal
cula
ted
resu
pply
qua
ntit
ies
and
noti
fied
staff
at h
ealt
h ce
nter
s, w
ho c
heck
thei
r sto
ck le
vels
and
adv
ise
HSA
s w
heth
er s
tock
was
ava
ilabl
e fo
r pic
k up
or a
lert
ed h
ealt
h fa
cilit
ies
and
dist
rict m
anag
ers
that
ther
e w
as in
suffi
cien
t sto
ck.”[
8]In
form
ed P
ush
Mod
el:
“Log
isti
cs p
rofe
ssio
nals
ent
er lo
gist
ics
data
into
Com
mTr
ack
on ta
blet
s at
the
mom
ent o
f del
iver
y, an
d C
omm
Trac
k au
tom
atic
ally
cal
cula
tes
deliv
ery
quan
titi
es b
ased
on
prev
ious
con
sum
ptio
n.” [
8]
3.2.
3M
on
ito
r co
ld-c
hain
se
nsi
tive
co
mm
odi
ties
- Se
nso
rs t
o m
on
ito
r te
mpe
ratu
re a
nd
stab
ilit
y o
f va
ccin
esEl
ectr
onic
Dat
a Lo
ggin
g Th
erm
omet
ers:
“C
onti
nuou
s m
onito
ring
thro
ugh
data
logg
ing
ther
mom
eter
s lin
k w
ith
alar
m c
apab
iliti
es a
nd
emai
l not
ifica
tion
.” [25
]
3.2.
4Re
gist
er l
icen
sed
drug
s an
d he
alth
co
mm
odi
ties
- D
rug
regu
lati
on
an
d re
gist
rati
on
Acc
redi
ted
Dru
g D
ispe
nsin
g O
utle
t (A
DD
O):
The
app
also
incl
udes
“an
SMS-
base
d in
form
atio
n ex
chan
ge m
odul
e, w
hich
allo
ws
ADD
O
and
phar
mac
y pe
rson
nel t
o se
nd a
nd re
ceiv
e in
form
atio
n, fo
r exa
mpl
e, o
n ac
cred
itat
ion
requ
irem
ents
or d
rug
reca
lls.” [
8]
3.2.
5M
anag
e pr
ocu
rem
ent
of
com
mo
diti
es-
Logi
stic
s m
anag
emen
t-
Pro
cure
men
t m
anag
emen
ti-
Impo
rt:
“An
onlin
e pl
atfo
rm to
trac
k al
l pha
rmac
euti
cal i
mpo
rt a
pplic
atio
ns a
nd a
ppro
vals
mad
e by
Eth
iopi
a’s p
harm
aceu
tica
l re
gula
tor..
.It a
lso
elec
tron
ical
ly in
tegr
ates
wit
h pr
ocur
emen
t dat
a fr
om P
FSA
, the
pro
cure
men
t and
sup
ply
arm
of t
he th
e M
inis
try
of
Hea
lth.
”[26]
3.2.
6Re
port
co
unte
rfei
t o
r su
bsta
nda
rd d
rugs
by
clie
nts
- C
oun
terf
eit
drug
not
ifica
tio
n-
Mo
nit
ori
ng
drug
aut
hen
tici
ty a
nd
qua
lity
- Ph
arm
aco
vigi
lan
ce
mPe
digr
ee:
“...al
low
s bu
yers
to v
erify
the
auth
enti
city
of m
edic
ines
for f
ree
by te
xt m
essa
ging
a u
niqu
e sc
ratc
h-off
cod
e fo
und
on th
e pr
oduc
t to
a un
iver
sal n
umbe
r. Th
is re
ques
t is
rout
ed to
mPe
digr
ee’s
serv
ers
and
cons
umer
s re
ceiv
e a
quic
k re
spon
se to
aut
hent
icat
e th
eir p
urch
ase.
” [8]
Mob
ile P
rodu
ct A
uthe
ntic
atio
n: “
Con
sum
ers
send
an
SMS
to th
e Sp
roxi
l ser
ver o
f a o
ne-t
ime-
use
scra
tch
card
cod
e lis
ted
on th
e ph
arm
aceu
tica
l pro
duct
s an
d re
ceiv
e re
ply
SMS
dete
rmin
ing
drug
aut
hent
icit
y.” [8
]
3.3
Publ
ic h
ealt
h ev
ent
noti
fica
tion
Dig
ital
app
roac
hes
for a
lert
ing
and
com
pilin
g in
form
atio
n on
non
-ro
utin
e pu
blic
hea
lth
even
ts.
3.3.
1N
otifi
cati
on
of
publ
ic
heal
th e
ven
ts f
rom
po
int
of
diag
no
sis
- Pu
blic
hea
lth
surv
eill
ance
- Su
rvei
llan
ce f
rom
lab
ora
tory
sys
tem
s-
Dis
ease
sur
veil
lan
ce
mSO
S Eb
ola
(KEM
RI L
abor
ator
y m
odul
e): “
Resu
lts
on th
e la
bora
tory
con
firm
atio
n of
the
pati
ent s
erum
sam
ples
wer
e up
date
d us
ing
th
e m
SOS
Ebol
a w
eb p
orta
l, an
d te
xt m
essa
ges
wer
e au
tom
atic
ally
del
iver
ed to
sen
ior m
anag
emen
t and
pol
icy
deci
sion
mak
ers
at th
e M
OH
.” [8]
GXA
lert
: “A
utom
atic
ally
sen
d SM
S te
xt o
r em
ail a
lert
s to
MO
H o
ffici
als
whe
n a
new
MD
R po
siti
ve o
r Rif
posi
tive
cas
e is
det
ecte
d.” [
8]
page 16
Cat
egor
yIn
terv
enti
ons
Syno
nym
sIl
lust
rati
ve e
xam
ples
*
3.4
Civ
il R
egis
trat
ion
and
Vita
l St
atis
tics
(CRV
S)D
igit
al a
ppro
ache
s to
sup
port
the
regi
stra
tion
of b
irth
s an
d de
aths
, is
sue
birt
h an
d de
ath
cert
ifica
tes,
an
d co
mpi
le a
nd d
isse
min
ate
vita
l st
atis
tics
, inc
ludi
ng c
ause
of d
eath
in
form
atio
n [5
].
3.4.
1N
otif
y bi
rth
even
t -
Birt
h ev
ent
aler
tm
Tika
: “H
ealt
h As
sist
ants
can
rece
ive
birt
h no
tific
atio
ns fr
om c
lient
s vi
a SM
S.” [
8]
3.4.
2Re
gist
er b
irth
eve
nt
- Bi
rth
regi
stra
tio
n (c
an in
clud
e re
gist
rati
on
for
heal
th s
yste
m p
urpo
ses,
as
wel
l as
re
gist
rati
on
to
civ
il r
egis
trar
)
Mob
ile b
irth
regi
stra
tion
init
iati
ve in
Tanz
ania
: “H
ealt
h pr
ovid
ers
can
regi
ster
new
born
s by
ent
erin
g th
e ch
ild’s
info
rmat
ion
in a
mob
ile
phon
e ap
plic
atio
n an
d se
ndin
g it
to a
cen
tral
dat
abas
e at
the
Regi
stra
tion
, Ins
olve
ncy
and
Trus
tees
hip
Agen
cy (R
ITA)
, whi
ch is
the
Gov
ernm
ent A
genc
y re
spon
sibl
e fo
r Birt
h Re
gist
rati
on in
Tanz
ania
.” [27
]
3.4.
3C
erti
fy b
irth
eve
nt
- C
ivil
Reg
istr
atio
n a
nd
Vita
l St
atis
tics
(CRV
S)-
Issu
ance
of
birt
h ce
rtifi
cate
Mob
ile b
irth
regi
stra
tion
init
iati
ve in
Tanz
ania
: “O
nce
heal
th p
rovi
ders
regi
ster
the
new
born
wit
h RI
TA, t
hey
can
issu
e bi
rth
cert
ifica
tes
to th
e ch
ild’s
pare
nts
at th
e sa
me
clin
ical
vis
it.” [
27]
3.4.
4N
otif
y de
ath
even
t -
Dea
th s
urve
illa
nce
- D
eath
eve
nt
aler
t11
7 C
all A
lert
Sys
tem
: “T
he te
leph
one
num
ber ‘
117’
coul
d be
use
d at
no
char
ge to
the
calle
r fro
m a
ny m
ajor
mob
ile te
leco
mm
unic
atio
n ne
twor
k in
the
coun
try.
Cal
ls w
ere
mad
e to
ale
rt a
utho
ritie
s of
sic
k pe
rson
s re
quiri
ng is
olat
ion
and
Ebol
a te
stin
g (li
ve a
lert
s), a
nd d
eath
s fr
om a
ny c
ause
(dea
th a
lert
s), w
hich
und
er n
atio
nal p
olic
y re
quire
d sa
fe a
nd d
igni
fied
buria
ls p
erfo
rmed
by
trai
ned
team
s.” [2
8]M
OVE
-IT:
“H
ealt
h w
orke
rs c
an u
se S
MS
on m
obile
pho
nes
to n
otify
a d
eath
eve
nt.” [
29]
3.4.
5Re
gist
er d
eath
eve
nt
- D
eath
sur
veil
lan
ce; m
ort
alit
y su
rvei
llan
ceIn
nova
tive
Mob
ile-p
hone
Tech
nolo
gy fo
r Com
mun
ity
Hea
lth
Ope
rati
on (I
mTe
CH
O):
“Acc
redi
ted
Soci
al H
ealt
h Ac
tivi
sts
(ASH
As) c
an
reco
rd in
fant
dea
ths
usin
g a
mob
ile p
hone
app
licat
ion.
” [30
]
3.4.
6C
erti
fy d
eath
eve
nt
- Is
suan
ce o
f de
ath
cert
ifica
teSm
artV
A s
yste
m:
“Hea
lth
care
pro
vide
rs c
an c
olle
ct a
nd a
naly
ze v
erba
l aut
opsy
dat
a us
ing
a m
obile
pho
ne a
pplic
atio
n.” [
31]
3.5
Hea
lth
fina
ncin
gD
igit
al a
ppro
ache
s to
man
age
finan
cial
tran
sact
ions
for h
ealt
h sy
stem
rela
ted
expe
nses
. The
se
digi
tal fi
nanc
ial t
rans
acti
ons
can
be u
sed
for p
aym
ents
to h
ealt
h w
orkf
orce
, ins
uran
ce/p
ayer
s, a
s w
ell
as a
dmin
istr
ativ
e m
anag
emen
t of
budg
et a
nd e
xpen
ditu
res.
3.5.
1Re
gist
er a
nd
veri
fy c
lien
t in
sura
nce
mem
bers
hip
- El
igib
ilit
y ve
rifi
cati
on
fo
r in
sura
nce
- D
eter
min
atio
n o
f in
sura
nce
co
vera
ge-
Reco
rdin
g an
d ve
rify
ing
that
a c
lien
t is
a
mem
ber
of
a sc
hem
e o
r en
titl
ed t
o b
enefi
ts-
Soci
al p
rote
ctio
n
mTI
BA:
“Fun
ds w
ill b
e pl
aced
in s
peci
aliz
ed h
ealt
h w
alle
ts th
roug
h M
-Pes
a an
d th
eir u
se w
ill b
e re
stric
ted
to s
pend
ing
at h
ealt
hcar
e pr
ovid
ers
who
form
par
t of a
nat
ionw
ide
M-T
IBA
netw
ork.
..the
trea
tmen
t dat
a is
then
che
cked
by
a m
edic
al p
erso
n. If
the
trea
tmen
t has
be
en a
ppro
ved,
The
resa
’s pa
ymen
t req
uest
is im
med
iate
ly a
ccep
ted
and
the
mon
ey is
tran
sfer
red
to th
e he
alth
care
pro
vide
r.” [3
2]
3.5.
2Tr
ack
insu
ran
ce b
illi
ng
and
clai
ms
subm
issi
on
- So
cial
pro
tect
ion
, adm
inis
trat
ive
tran
sact
ion
pro
cess
ing;
cla
ims
man
agem
ent
Gha
naia
n N
HIA
e-c
laim
s: “
The
Nat
iona
l Hea
lth
Insu
ranc
e Au
thor
ity
(NH
IA) i
s in
trod
ucin
g el
ectr
onic
pay
men
t of c
laim
s (e
-cla
ims)
to 4
7 he
alth
car
e pr
ovid
ers
acro
ss th
e co
untr
y to
eas
e de
lays
ass
ocia
ted
wit
h pa
ymen
t of c
laim
s.” [3
3]
3.5.
3Tr
ack
and
man
age
insu
ran
ce r
eim
burs
emen
t-
Cla
ims
and
enco
unte
r re
port
s fo
r re
imbu
rsem
ent
- In
sura
nce
fin
anci
al t
ran
sact
ion
s
Bahm
ni:
“Man
age
pati
ent i
nfor
mat
ion
acro
ss re
gist
rati
on, p
oint
of c
are,
inve
stig
atio
ns, a
nd b
illin
g.” [
22]
3.5.
4Tr
ansm
it o
r m
anag
e ro
utin
e pa
yro
ll p
aym
ent
to h
ealt
hcar
e pr
ovi
der(
s)
- H
ealt
h w
ork
er r
out
ine
paym
ents
- Pa
yro
ll m
anag
emen
tA
ccre
dite
d D
rug
Dis
pens
ing
Out
let (
AD
DO
): “T
he a
pplic
atio
n in
clud
ed a
mob
ile p
aym
ent c
ompo
nent
for p
rem
ises
and
per
sonn
el
fees
...”[8
]
3.5.
5Tr
ansm
it o
r m
anag
e in
cen
tive
s to
hea
lthc
are
pro
vide
r (s
)
- Fi
nan
cial
ince
nti
ves
for
heal
th w
ork
er
mot
ivat
ion
- C
on
diti
on
al p
aym
ents
, per
form
ance
-bas
ed
fin
anci
ng
for
heal
th w
ork
ers,
res
ults
bas
ed
fin
anci
ng
mH
ealt
h fo
r Com
mun
ity-
Base
d Fa
mily
Pla
nnin
g Se
rvic
es:
“...pa
y-fo
r-pe
rfor
man
ce s
yste
m w
ith
mon
thly
per
form
ance
targ
ets
wit
h re
al-
tim
e pe
rfor
man
ce tr
acki
ng o
n th
e C
HW
pho
ne a
nd p
rogr
am d
ashb
oard
.”[8]
3.5.
6M
anag
e bu
dget
an
d ex
pen
ditu
res
- Fi
nan
cial
man
agem
ent
- Re
sour
ce p
lan
nin
gPl
anRe
p: “
A pl
anni
ng a
nd re
port
ing
data
base
use
d by
Loc
al G
over
nmen
t Aut
horit
ies
(LG
As) a
nd d
esig
ned
to in
corp
orat
e th
e St
rate
gic
Plan
(Med
ium
-Ter
m E
xpen
ditu
re F
ram
ewor
k), r
even
ue p
roje
ctio
n, b
udge
ts, f
unds
rece
ived
, and
trac
k ex
pend
iture
and
phy
sica
l im
plem
enta
tion
.” [34
]
3.6
Equi
pmen
t an
d as
set
man
agem
ent
Dig
ital
app
roac
hes
to tr
ack
and
man
age
the
mai
nten
ance
of h
ealt
h eq
uipm
ent.
Thi
s ca
n in
clud
e th
e us
e of
dat
abas
es, a
s w
ell a
s se
nsor
s an
d fe
edba
ck m
echa
nism
s fo
r m
onit
orin
g he
alth
equ
ipm
ent.
3.6.
1M
on
ito
r st
atus
an
d m
ain
ten
ance
of
heal
th e
qui
pmen
t
- Li
stin
g o
f av
aila
ble
equi
pmen
t an
d ph
ysic
al
asse
ts, e
.g. h
osp
ital
bed
s-
Trac
kin
g m
ain
ten
ance
of
equi
pmen
t
Unp
ublis
hed
exam
ple:
Mec
hani
sms
to re
gula
rly u
pdat
e a
list o
f ava
ilabl
e ph
ysic
al a
sset
s w
ithi
n he
alth
faci
litie
s an
d tr
ack
thei
r m
aint
enan
ce n
eeds
.
3.6.
2Tr
ack
regu
lati
on
an
d li
cen
sin
g o
f
med
ical
eq
uipm
ent
- Ph
ysic
al a
sset
man
agem
ent
- Re
gula
tio
n o
f ph
ysic
al a
sset
sU
npub
lishe
d ex
ampl
e: C
ount
ries
have
regu
lato
ry a
nd li
cens
ing
proc
edur
es fo
r equ
ipm
ent u
sed
in th
e he
alth
sec
tor.
Dig
ital
sys
tem
s ca
n he
lp tr
ack
equi
pmen
t thr
ough
the
regu
lato
ry p
roce
ss a
nd m
anag
e in
form
atio
n ab
out t
he re
gula
tory
sta
tus
of d
iffer
ent t
ypes
and
bra
nds
of e
quip
men
t.
3.7
Faci
lity
man
agem
ent
Dig
ital
app
roac
hes
that
ena
ble
adm
inis
trat
ive
func
tion
s re
late
d to
th
e m
anag
emen
t of f
acili
ties
.
3.7.1
List
hea
lth
faci
liti
es a
nd
rela
ted
info
rmat
ion
- Re
gist
er h
ealt
h fa
cili
ties
- Li
st u
niq
ue ID
s an
d lo
cati
on
s o
f he
alth
fa
cili
ties
- H
ealt
h fa
cili
ty r
egis
try
Keny
a M
aste
r Hea
lth
Faci
lity
List
: “A
n ap
plic
atio
n w
ith
all h
ealt
h fa
cilit
ies
and
com
mun
ity
unit
s in
Ken
ya. E
ach
heal
th fa
cilit
y an
d co
mm
unit
y un
it is
iden
tifie
d w
ith
uniq
ue c
ode
and
thei
r det
ails
des
crib
ing
the
geog
raph
ical
loca
tion
, adm
inis
trat
ive
loca
tion
, ow
ners
hip,
ty
pe a
nd th
e se
rvic
es o
ffer
ed.” [
35]
3.7.
2A
sses
s he
alth
fac
ilit
ies
- A
sses
s pe
rfo
rman
ce a
nd
capa
city
of
serv
ices
pr
ovi
ded
at h
ealt
h fa
cili
ties
- Re
gula
te a
nd
mo
nit
or
serv
ices
pro
vide
d at
he
alth
fac
ilit
ies
- Su
perv
isio
n o
f he
alth
fac
ilit
ies
Acc
redi
ted
Dru
g D
ispe
nsin
g O
utle
t (A
DD
O):
“Web
-bas
ed d
atab
ase
of in
form
atio
n on
priv
ate
sect
or d
rug
outl
ets’
prem
ises
and
pe
rson
nel,
incl
udin
g fa
cilit
y re
gist
rati
on, p
erso
nnel
qua
lifica
tion
s an
d ce
rtifi
cati
ons,
insp
ecti
ons,
and
pay
men
ts o
f ass
ocia
ted
fees
.” [8]
Supp
orti
ve s
uper
visi
on fo
r TB
in N
iger
ia:
“...a
sta
ndar
d, in
tegr
ated
TB
supe
rvis
ion
chec
klis
t to
asse
ss a
nd m
onito
r dia
gnos
tic
labo
rato
ries
and
DO
TS s
ervi
ces
in th
e pu
blic
and
priv
ate
sect
ors.”
[8]
3.0
Hea
lth
Syst
em M
anag
ers
page 17Wo r l d H e a lt h O r g a n i z at i o n C l a s s i f i c at i o n o f D i g i ta l H e a lt h I n t e r v e n t i o n s
Cat
egor
yIn
terv
enti
ons
Syno
nym
sIl
lust
rati
ve e
xam
ples
*
4.1
Dat
a co
llec
tion
, m
anag
emen
t,
and
use
Dig
ital
app
roac
hes
to d
ata
colle
ctio
n, m
anag
emen
t, an
alys
is, s
tora
ge. T
his
can
incl
ude
stan
dalo
ne in
terv
enti
ons
focu
sing
ex
clus
ivel
y on
dat
a co
llect
ion
and
man
agem
ent,
as w
ell a
s da
ta s
ervi
ces
to s
uppo
rt o
ther
in
terv
enti
ons,
suc
h as
dat
a vi
sual
izat
ion
wit
hin
supp
ly c
hain
m
anag
emen
t.
4.1.1
No
n-r
out
ine
data
co
llec
tio
n a
nd
man
agem
ent
- El
ectr
on
ic d
ata
coll
ecti
on
, dig
ital
dat
a co
llec
tio
n-
Mo
bile
bas
ed s
urve
ys, u
sin
g ap
plic
atio
ns
such
as
Ope
nD
ataK
it (O
DK)
, En
keto
, Fo
rmH
ub, e
tc
PMI A
fric
a In
door
Res
idua
l Spr
ayin
g (A
IRS)
: “S
taff
wer
e in
itia
lly ta
sked
to re
cord
dat
a on
sm
artp
hone
s fr
om ro
ughl
y 12
,000
hou
seho
lds
and
elec
tron
ical
ly s
ubm
it to
a c
loud
-bas
ed s
yste
m a
cces
sibl
e to
the
M&
E m
anag
er a
t the
hom
e offi
ce.” [
8]H
ang-
Up
and
Trac
k: “
OD
K fo
rm c
olle
cted
dis
trib
utio
n da
ta o
n th
e nu
mbe
r of s
leep
ing
plac
es a
nd th
e am
ount
of L
LIN
s gi
ven
and
inst
alle
d...”
[8]
mH
BB:
“Mob
ile p
hone
-bas
ed m
etho
ds fo
r col
lect
ion
of H
BB tr
aini
ng a
nd q
ualit
y im
prov
emen
t dat
a am
ong
faci
lity-
base
d bi
rth
atte
ndan
ts. 1
2 ex
isti
ng H
BB p
aper
form
s w
ere
digi
tize
d fo
r use
on
Andr
oid
mob
ile p
hone
s us
ing
OD
K.”
[8]
4.1.
2D
ata
sto
rage
an
d ag
greg
atio
n-
Dat
a w
areh
ous
e, r
epo
sito
ryA
nest
hesi
olog
ical
Dat
a W
areh
ouse
Pro
ject
: “A
web
inte
rfac
e th
at w
ill a
llow
use
rs to
inpu
t and
acc
ess
pre-
, per
i- a
nd p
osto
pera
tive
an
aest
hesi
olog
y da
ta.”
[36]
4.1.
3D
ata
syn
thes
is a
nd
visu
aliz
atio
ns
- Re
port
ing
dash
boar
ds, r
epo
rt g
ener
atio
n-
Pres
enta
tio
ns
of
data
- Bu
sin
ess
inte
llig
ence
cSto
ck:
“Dis
tric
t- a
nd c
entr
al-l
evel
man
ager
s co
uld
mon
itor s
uppl
y ch
ain
perf
orm
ance
, usi
ng o
ver 1
0 in
dica
tors
dis
play
ed o
n a
web
-ba
sed
dash
boar
d.”
[8]
DH
IS2:
“G
et th
e co
mpl
ete
over
view
thro
ugh
the
pivo
t tab
le fe
atur
e, s
pot t
rend
s in
you
r dat
a w
ith
char
ting
and
vis
ualiz
e yo
ur
geog
raph
ical
dat
a as
pect
s us
ing
the
GIS
func
tion
alit
y.” [1
5]
4.1.
4A
uto
mat
ed a
nal
ysis
o
f da
ta t
o g
ener
ate
n
ew in
form
atio
n
or
pred
icti
on
s o
n
futu
re e
ven
ts
- Pr
edic
tive
an
alyt
ics
- M
achi
ne
lear
nin
g-
Art
ifici
al in
tell
igen
ce
Sim
plifi
ed, E
ffec
tive
, Lab
our M
onit
orin
g-to
-Act
ion
(SEL
MA
) too
l: “P
redi
ctio
n m
odel
s w
ill b
e de
velo
ped
to id
enti
fy w
omen
at r
isk
of
intr
apar
tum
-rel
ated
per
inat
al d
eath
or m
orbi
dity
(prim
ary
outc
omes
) thr
ough
out t
he c
ours
e of
labo
ur.” [
37]
4.2
Dat
a co
ding
Dig
ital
app
roac
hes
to c
ode
data
an
d m
anag
e th
e us
e of
st
anda
rdiz
ed d
atas
ets.
4.2.
1Pa
rse
unst
ruct
ured
dat
a in
to s
truc
ture
d da
ta-
Dir
ty d
ata
man
agem
ent
- A
uto
mat
ed d
ata
clea
nin
gU
npub
lishe
d ex
ampl
e: T
his
tool
will
dev
elop
a s
et o
f aut
omat
ed a
lgor
ithm
s fo
r cle
anin
g an
d lin
king
uns
truc
ture
d in
form
atio
n (e
.g.
med
ical
not
es) t
o st
ruct
ured
dat
aset
s.
4.2.
2M
erge
, de-
dupl
icat
e an
d cu
rate
co
ded
data
sets
or
term
ino
logi
es
- M
ain
ten
ance
an
d ve
rsio
nin
g o
f he
alth
in
form
atic
s te
rmin
olo
gy s
tan
dard
s-
Term
ino
logy
ser
vice
s-
Sem
anti
c in
tero
pera
bili
ty
Ope
n C
once
pt L
ab:
“Thi
s to
olse
t will
incl
ude
a w
eb a
pplic
atio
n to
sea
rch,
exp
ort,
subs
crib
e, a
nd m
ap to
sta
ndar
dize
d te
rmin
olog
y an
d in
dica
tors
...an
d fu
ncti
onal
ity
to c
olla
bora
tive
ly c
reat
e, e
xpor
t, an
d su
bscr
ibe
to s
ubse
ts o
f ter
ms
and
indi
cato
rs th
at re
pres
ent p
arti
cula
r sp
ecia
lty
area
s.” [3
8]
4.2.
3C
lass
ify
dise
ase
code
s an
d ca
use
of
mo
rtal
ity
- Re
cord
ing
caus
e o
f de
ath
- IC
D c
odi
ng,
cli
nic
al c
odi
ng
for
repo
rtin
g an
d in
sura
nce
- M
appi
ng
loca
l te
rmin
olo
gy, c
ode
s, a
nd
form
ats
Bahm
ni:
“The
clin
icia
ns c
an c
aptu
re d
iagn
osis
of p
atie
nts
and
man
age
thei
r old
dia
gnos
is. I
n th
e ba
cken
d th
ese
diag
nose
s ca
n be
m
appe
d to
ICD
-10
code
s fo
r rep
orti
ng p
urpo
ses.”
[22]
4.3
Loca
tion
map
ping
The
use
of g
eolo
cati
on c
oord
inat
es
to m
ap o
bjec
ts a
nd e
vent
s.
4.3.
1M
ap l
oca
tio
n o
f
heal
th f
acil
itie
s/st
ruct
ures
- G
loba
l Po
siti
on
ing
Syst
em (G
PS) m
appi
ng
mW
ater
: “A
mob
ile p
latf
orm
for m
appi
ng s
ites
such
as
wat
er s
ourc
es, s
harin
g te
st re
sult
s an
d pe
rfor
min
g su
rvey
s.” [8
]G
IS M
appi
ng o
f Hea
lth
Faci
litie
s: “
The
port
al d
ispl
ayed
the
loca
tion
of e
ach
faci
lity
loca
tion
on
Goo
gle
Map
s. It
allo
ws
a us
er to
con
duct
se
arch
es fo
r fac
iliti
es b
y di
stric
t, pu
blic
or p
rivat
e se
ctor
ow
ners
hip,
and
ser
vice
s.” [8
]
4.3.
2M
ap l
oca
tio
n o
f
heal
th e
ven
t-
Geo
spat
ial
visu
aliz
atio
n-
GPS
map
pin
gm
SOS:
“Pa
tien
t-le
vel i
nfor
mat
ion
on th
e su
spec
ted
case
s, re
spon
se a
ctio
n co
nduc
ted,
[whe
re th
e ca
se w
as id
enti
fied]
, and
labo
rato
ry
confi
rmat
ion
wer
e di
spla
yed
on th
e pa
ssw
ord-
prot
ecte
d w
eb p
orta
l das
hboa
rd.” [
8]
4.3.
3M
ap l
oca
tio
n o
f
clie
nts
an
d
hous
eho
lds
- D
emar
cati
on
of
catc
hmen
t ar
eas
- M
appi
ng
cove
rage
are
as-
Geo
spat
ial
visu
aliz
atio
n-
GPS
map
pin
g
mSp
ray:
“Te
am le
ader
s en
ter d
ata
on th
eir t
able
ts w
hile
sta
ndin
g at
eac
h ho
use,
whi
ch is
sen
t to
the
clou
d se
rver
as
soon
as
a da
ta
conn
ecti
on is
est
ablis
hed.
The
spa
tial
ly-i
nteg
rate
d sp
ray
data
is th
en v
isua
lized
on
the
tabl
et b
y th
e te
am le
ader
s sh
owin
g th
e lo
cati
on
and
type
of s
pray
poi
nt.” [
8]
4.3.
4M
ap l
oca
tio
n o
f he
alth
care
pro
vide
rs-
Map
pin
g o
f he
alth
wo
rker
ro
ute
to t
rack
the
se
rvic
es p
rovi
ded
Vacc
inat
ion
Trac
king
Sys
tem
: “S
uppo
rt e
nhan
cem
ents
to Im
mun
izat
ion
Plus
Day
s (IP
D) p
roce
sses
by
reco
rdin
g th
e va
ccin
atio
n te
am p
osit
ions
(the
“tra
cks”
) at r
egul
ar in
terv
al. T
he u
se o
f GIS
map
s an
d G
PS tr
acki
ng h
as b
een
iden
tifie
d as
a v
alua
ble
tool
to lo
cate
se
ttle
men
ts, h
elp
prep
are
mic
ropl
ans
and
to m
onito
r the
act
ivit
y of
vac
cina
tion
team
s.” [3
9]
4.4
Dat
a ex
chan
ge a
nd
inte
rope
rabi
lity
The
capa
bilit
y of
two
or m
ore
syst
ems
to c
omm
unic
ate
and
exch
ange
dat
a th
roug
h sp
ecifi
ed
data
form
ats
and
com
mun
icat
ion
prot
ocol
s. [6
]
4.4.
1D
ata
exch
ange
ac
ross
sys
tem
s-
Dat
a m
edia
tio
n-
Inte
rope
rabi
lity
an
d ac
cess
ibil
ity
- In
form
atio
n e
xcha
nge
- In
tero
pera
bili
ty l
ayer
- D
ata
orc
hest
rati
on
Ope
nHIM
: “It
pro
vide
s se
cure
com
mun
icat
ions
and
dat
a go
vern
ance
as
wel
l as
supp
ort f
or ro
utin
g, o
rche
stra
ting
and
tran
slat
ing
requ
ests
as
they
flow
bet
wee
n sy
stem
s.” [3
6]
4.0
Dat
a Se
rvic
es
page 18
References for definitions and illustrative examples of digital health interventions
1. Hawkins, R. P., et al. (2008). Understanding tailoring in communicating about health. Health Education Research, 23(3), 454–466. http://doi.org/10.1093/her/cyn004
2. National eHealth strategy toolkit. Geneva: World Health Organization, International Telecommunication Union; 2012 (https://www.itu.int/dms_pub/itu-d/opb/str/D-STR-E_HEALTH.05-2012-PDF-E.pdf, accessed 2 September 2015).
3. Global diffusion of eHealth: making universal health coverage achievable. Report of the third global survey on eHealth. Geneva: World Health Organization; 2016. Licence: CC BY-NC-SA 3.0 IGO
4. Labrique, AB., Vasudevan, L., Kochi, E., Fabricant, R., & Mehl, G. (2013). mHealth innovations as health system strengthening tools: 12 common applications and a visual framework. Global Health, Science and Practice, 1(2), 160–71. http://doi.org/10.9745/GHSP-D-13-00031
5. Civil registration and vital statistics (CRVS). Geneva: World Health Organization; 2017 (http://www.who.int/healthinfo/civil_registration/en/. accessed 17 May 2017)
6. ISO/TR 14639-1:2012(en) Health informatics — Capacity-based eHealth architecture roadmap — Part 1: Overview of national eHealth initiatives. Geneva: International Standards Organization. (https://inen.isolutions.iso.org/obp/ui#iso:std:iso:tr:14639:-1:ed-1:v1:en, accessed 21 November 2017)
7. U-Report utilized in Ebola response in 2012. Kampala: U-Report Uganda; 2017 (http://www.ureport.ug/story/185/, accessed 24 November 2017).
8. mHealth Compendium Database. Baltimore: K4Health; 2017. (http://www.mhealthknowledge.org/resources/mhealth-compendium-database, accessed 19 November 2017).
9. Be He@lthy Be Mobile Annual Report 2016. Geneva: World Health Organization, International Telecommunication Union; 2016 (http://www.who.int/ncds/prevention/be-healthy-be-mobile/51127-WHO-ITU-BHBM-Annual-Report-2016.pdf ?ua=1, accessed 16 November 2017).
10. Government of Senegal boosts Ebola awareness through SMS campaign. Geneva: World Health Organization; 2014 (http://www.who.int/features/2014/senegal-ebola-sms/en/, accessed 16 November 2017).
11. Senegal: Official inauguration of our maternal health program in Tambacounda - WAHA International. Dakar: WAHA International; 2015 (https://waha-international.org/senegal-official-inauguration-of-our-maternal-health-program-in-tambacounda/, accessed 16 November 2017).
12. Digital Weighing(CWC) Card. Kumasi: Child Health Information and Monitoring Foundation; 2017 (http://www.chimf.org/node/177, accessed 24 November 2017).
13. Fitbit Official Site for Activity Trackers & More. San Francisco: Fitbit; 2017 (https://www.fitbit.com/home, accessed 24 November 2017).
14. Medopad | Our solutions [website]. London: Medopad; 2017 [cited 24 November 2017]. Available from: http://www.medopad.com/solutions
15. DHIS 2 Overview [website]. Oslo: DHIS2; 2017 (https://www.dhis2.org/overview, accessed 24 November 2017).
16. About OpenMRS | OpenMRS [website]. OpenMRS; 2017 (http://openmrs.org/about/, accessed 24 November 2017).
17. Software [webiste]. Verona: Epic; 2017 (http://www.epic.com/software#ManagedCare, accessed 24 November 2017).
18. Jones V, Gay V, Leijdekkers P. Body sensor networks for mobile health monitoring: Experience in Europe and Australia. In Digital Society, 2010. Fourth International Conference on International Conference on Digital Society (pp. 204-209). IEEE (http://ieeexplore.ieee.org/abstract/document/5432796/, accessed 22 November 2017).
19. Africa Teledermatology Project [website]. Washington DC: Center for Health Market Innovations; 2017 (http://healthmarketinnovations.org/program/africa-teledermatology-project, accessed 24 November 2017).
20. Kaphle S, Matheke-Fischer M, Lesh N. Effect of Performance Feedback on Community Health Workers’ Motivation and Performance in Madhya Pradesh, India: A Randomized Controlled Trial. JMIR public health and surveillance. 2016 Jul;2(2).
21. Zurovac D, Sudoi RK, Akhwale WS, Ndiritu M, Hamer DH, Rowe AK, Snow RW. The effect of mobile phone text-message reminders on Kenyan health workers’ adherence to malaria treatment guidelines: a cluster randomised trial. The Lancet. 2011 Sep 2;378(9793):795-803.
22. Feature List [website]. Bahmni™ Coalition. 2017; (https://www.bahmni.org/feature-list/, accessed 24 November 2017).
23. Vergeire-Dalmacion G, Castillo-Carandang NT, Juban NR, Amarillo ML, Tagle MP, Baja ES. Texting-Based Reporting of Adverse Drug Reactions to Ensure Patient Safety: A Feasibility Study. JMIR public health and surveillance. 2015 Jul;1(2).
24. iHRIS Health Workforce Software. Chapel Hill: iHRIS; 2017. Available from: (https://www.ihris.org/ihris-suite/health-workforce-software/, accessed 24 November 2017).
25. Accurate Cold Chain Temperature Monitoring Using Digital Data Logger Thermometers. Gaithersburg: National Institute of Standards and Technology; (https://www.nist.gov/sites/default/files/documents/2017/04/28/NIC-2012-Accurate-Cold-Chain-Temperature-Monitoring-Using-Digital-Data-Logger-Thermometers.pdf, accessed 24 November 2017).
page 19Wo r l d H e a lt h O r g a n i z at i o n C l a s s i f i c at i o n o f D i g i ta l H e a lt h I n t e r v e n t i o n s
26. Online Platform Modernizes Ethiopia’s Import Permit Process. Boston: John Snow, Inc.; 2017 (http://www.jsi.com/JSIInternet/Newsroom/newsitem/display.cfm?a=1&id=2272, accessed 24 November 2017).
27. In the United Republic of Tanzania, a new solution for birth registration. Dar es Salaam: UNICEF; 2017 (https://www.unicef.org/infobycountry/tanzania_71827.html, accessed 24 November 2017).
28. Alpren C, Jalloh MF, Kaiser R, Diop M, Kargbo SA, Castle E, Dafae F, Hersey S, Redd JT, Jambai A. The 117 call alert system in Sierra Leone: from rapid Ebola notification to routine death reporting. BMJ global health. 2017 Sep 1;2(3):e000392.
29. Move it: Report on Monitoring of Vital Events using Information Technology. Geneva: World Health Organization; 2013 (http://www.who.int/healthinfo/civil_registration/crvs_report_it_2013.pdf, accessed 23 November 2017).
30. Modi D, Patel J, Desai S, Shah P. Accessing completeness of pregnancy, delivery, and death registration by Accredited Social Health Activists [ASHA] in an innovative mHealth project in the tribal areas of Gujarat: A cross-sectional study. Journal of postgraduate medicine. 2016 Jul;62(3):170.
31. SmartVA Analyze Application [website]. Seattle: Institute for Health Metrics and Evaluation; 2017 (http://www.healthdata.org/node/858, accessed 24 November 2017).
32. M-TIBA is truly leapfrogging healthcare in Kenya. Nairobi: PharmAccess Foundation; 2017 (https://www.pharmaccess.org/update/m-tiba-is-truly-leapfrogging-healthcare-in-kenya/, accessible 24 November 2017).
33. Yeboah I. NHIA introduces e-payment of claims. Graphic Online. 03 October 2013 (https://www.graphic.com.gh/news/general-news/nhia-introduces-e-payment-of-claims.html, accessed 24 November 2017).
34. PlanRep for Prime Minister’s Office, Regional and Local Government [website]. Dar es Salaam: University of Dar es Salaam Computing Center; 2017 (http://ucc.co.tz/?q=content/planrep-prime-minister%E2%80%99s-office-regional-and-local-government, accessed 24 November 2017).
35. Kenya Master Health Facility List. Nairobi: Republic of Kenya Ministry of Health; 2017 (http://kmhfl.health.go.ke/#/home, accessed 23 November 2017).
36. Current Projects [website]. Cape Town: Jembi Health Systems; 2017 (https://www.jembi.org/project-category/current-project/, accessed 24 November 2017).
37. Souza JP, Oladapo OT, Bohren MA, Mugerwa K, Fawole B, Moscovici L, Alves D, Perdona G, Oliveira-Ciabati L, Vogel JP, Tunçalp Ö. The development of a simplified, effective, labour monitoring-to-action (SELMA) tool for better outcomes in labour difficulty (BOLD): study protocol. Reproductive health. 2015 May 26;12(1):49.
38. About Open Concept Lab. Open Concept Lab; 2017 (https://www.openconceptlab.org/about/, accessed 24 November 2017).
39. Vaccination Tracking System. Geneva: Novel-T; 2017 (http://www.novel-t.ch/en/project/vaccination-tracking-system, accessed 23 November 2017).
Dr. Garrett Mehl | [email protected]
Tigest Tamrat | [email protected]
For questions or feedback, please contact
Development of this document was coordinated by Garrett Mehl, Tigest Tamrat, Maeghan Orton, and Lale Say of
the Department of Reproductive Health and Research, in collaboration with Edward Kelley and Diana Zandi of the
Department of Service Delivery and Safety, of the World Health Organization (WHO).
WHO is grateful to the following contributors (in alphabetical order):
Elaine Baker, PATH
Sean Blaschke, UNICEF
James BonTempo, Johns Hopkins University-Center for Communication Programs
Nicolas DeBorma, BlueSquare
Hani Eskandar, International Telecommunications Union
Dennis Falzon, WHO Global TB Program
Thomas Fogwill, Meraka Institute
Michael Frost, Norwegian Institute of Public Health
Skye Gilbert, PATH
Hallie Goertz, PATH
Jan Grevendonk, WHO Immunization, Vaccines and Biologicals
Surabhi Joshi, WHO Preventing Non-Communicable Diseases
Manish Kumar, MEASURE Evaluation
Alain Labrique, Johns Hopkins University-Global mHealth Initiative
Mark Landry, WHO South-East Asia Regional Office
Carl Leitner, Digital Square
Kelly L’Engle, University of San Francisco
Alvin Marcelo, Asian eHealth Information Network
Donna Medeiros, Asian Development Bank
Derek Muneene, WHO Regional Office for Africa
Henry Mwanyika, PATH
David Novillo, WHO Region of the Americas
Steve Ollis, John Snow Inc.
Jonathan Payne, Independent Consultant
Liz Peloso, Independent Consultant
Derek Ritz, ecGroup Inc
Merrick Schaefer, United States Agency for International Development (USAID)
Anneke Schmider, WHO Information, Evidence and Research
Chris Seebregts, Jembi Health Systems
Dykki Settle, PATH
Chaitali Sinha, International Development Research Centre
Michael Stahl, Independent Consultant
Hazim Timimi, WHO Global TB Program
Steven Uggowitzer, Essential Support for Health Informatics
Lavanya Vasudevan, Duke University
Adele Waugaman, USAID
William Weiss, USAID
WHO/RHR/18.06
© World Health Organization 2018
Some rights reserved. This work is available under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO Licence (CCBY-NC-SA 3.0 IGO; https://creativecommons.org/licenses/by-nc-sa/3.0/igo).
Suggested citation. Classification of digital health interventions. Geneva: World Health Organization; 2018(WHO/RHR/18.06). Licence: CC BY-NC-SA 3.0 IGO.
The mention of specific companies or of certain manufacturers’ products does not imply that they are endorsed or recommended by WHO in preference to others of a similar nature that are not mentioned. Errors and omissions excepted, the names of proprietary products are distinguished by initial capital letters.
All reasonable precautions have been taken by the World Health Organization to verify the information contained in this publication. However, the published material is being distributed without warranty of any kind, either expressed or implied. The responsibility for the interpretation and use of the material lies with the reader. In no event shall the World Health Organization be liable for damages arising from its use.