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Use of RTLS to Support a Model of Patient Centered Care
Session 268, March 8, 2018
Kevin B. Hoover, MD, PhD
Medical Director, VCU Health Neuroscience, Orthopedic and Wellness Center
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Kevin B. Hoover MD, PhD
Has no real or apparent conflicts of interest to report.
Conflict of Interest
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Agenda
• Neuroscience, Orthopaedic and Wellness Center (N.O.W.) patient-centered care model
• Identifying the tools
• Mapping the patient journey
• Piloting and implementing RTLS (Real-time Locating System)
• Data and future goals
4
Learning Objectives• Compare the function of patient self-rooming to the standard waiting
room model in an ambulatory care facility
• Compare the implementation of a RTLS in a preexisting clinic and a newly constructed ambulatory clinic
• Describe how RTLS can be used by staff at the point of care
• Recognize standard measures acquired with RTLS
• Appraise RTLS data to target processes in need of quality improvement
5
Agenda
• N.O.W. patient-centered care model
• Identifying the tools
• Mapping the patient journey
• Piloting and implementing RTLS (Real-time Locating System)
• Data and future goals
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Our patient-centered care model
To measurably improve the quality of neurological and musculoskeletal health
by leveraging teamwork, information technology and innovation.
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William Jiranek, MD
Orthopaedics
Kevin Hoover, MD, PhD
Radiology
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John Duval (Former CEO)
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• Patient-friendly experience
• Multidisciplinary care based on symptoms and diagnosis
• Standardized care validated by patient outcome metrics
• Proximity and shared resources
Wellness
Radiology
PT/OT
Gait Lab
Diagnostic Lab
Arthritis
Sports
Spine
Neurological
Optimization
Pain Management
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Mary Anne Rutledge: Nurse
Manager
Sherry (Savitri) Gopaul: Clinical
Coordinator
Victoria Sulanke: Clinical
Coordinator
Michael Vasell,
Administration
Bruce Mathern, MD
Neurosurgery
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Agenda
• N.O.W. patient-centered care model
• Identifying the tools
• Mapping the patient journey
• Piloting and implementing RTLS (Real-time Locating System)
• Data and future goals
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Tools
• Self-rooming and on stage/off stage
• Real-Time Locating System (RTLS)
• Outcome assessment (Promis)
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Standard Ambulatory Clinic
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Self-Rooming Ambulatory Clinic
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Self-Rooming Ambulatory Clinic
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Interactive True or False Question
Are patients reluctant to wear the RTLS badge?
A. Yes
B. No
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Self-rooming
Virginia Mason/Swedish Hospital/Sanford Health
Fewer waiting rooms
More exam rooms
More privacy
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On stage Off stage
Courtesy of
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88,000 ft2 clinical and support space
Third Floor
12 Belle Isle12 Brown’s Island1 Belle Isle Sub Waiting Area1 Brown’s Island Sub Waiting Area3 Staff Lounge
5 Trestle Trail Exam Rooms5 Chapel Island Exam Rooms5 Great Shiplock Park Exam Rooms2 Trestle Trail Sub Waiting Area2 Pony Pasture Sub Waiting Area
4 Tuckahoe Island
39 Exam 3 Staff Lounge 25 Corridor Fourth Floor
12 Kanawha Canal Exam Rooms12 Robious Landing Exam Rooms4 Riverview Rookery EEG Exam Rooms1 Kanawha Canal Sub Waiting Area4 Robious Landing Sub Waiting Area3 Staff Lounge
3 Elevator Lobby
7 Louise Burke Exam Rooms7 Williams Island Exam Rooms2 Louise Burke Sub Waiting Area2 Williams Island Sub Waiting Area
43 Exam 28 Corridor 3 Staff Lounge 9 Sub Waiting & Lobby
3rd
4th
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RTLS
• Infrared: requires visual path (e.g. television remote and TV); expensive
• Wi-Fi: large and expensive badges; expensive
• Ultra-Wide Band: most precise to cm (e.g. Amazon warehouses)
• Passive RFID: readers required ~ every 15 feet (e.g. library)
• Bluetooth: false positives
21IR RFID
â–şInfrared (IR) emitted from diodes on badge: every three seconds when moving
every two minutes when stationary
â–şRadiofrequency ID (RFID) emitted every two minutes
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RTLS
• Use RTLS (Versus)
• Live – supporting operations in real-time
• Periodic – KPI (e.g. wait times)
• Ad hoc – PI projects
• Room allocation tool – distribution of rooms by
physician need
• http://www.himssconference.org/event.aspx?It
emNumber=36302
Dana Farber Cancer Center
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Agenda
• N.O.W. patient-centered care model
• Identifying the tools
• Mapping the patient journey
• Piloting and implementing RTLS (Real-time Locating System)
• Data and future goals
24
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https://drdollah.com/
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Action Definition
Patient Arrival
Message recevied via
HL7
Patient has room
reserved for them by
registration / PAR
Patient Enters the
Sub-Waiting Room
Location Filter and
is in the location for
10 seconds
Patient enters an
Exam room and is
in room for 30
seconds
Staff enters the
exam room and is
in room for 30
seconds - staff
types included in
Flow Manager
role. LPN, MA and
RN badge type.
RN enters the
exam room and is
in room for 30
seconds
NP (BT 36) or PA (37)
enters the exam room
for 30 seconds. (APP
stands for Advanced
Practice Professional -
there is no distinct badge
types for this role, it is
incorporating both PA
and NP badge types)
NP (BT 36) or PA (37)
exits the exam room and
is out of room for 30
seconds (APP stands for
Advanced Practice
Professional - there is no
distinct badge types for
this role, it is
incorporating both PA
and NP badge types)
Staff exits the
exam room and
is in room for 30
seconds
Physician enters the
exam room and is
present for 30
seconds
Physician exits
the exam room
and is out of
room for 30
seconds
Staff enters the
exam room
and is in room
for 30 seconds -
staff types
included in
Flow Manager
role. LPN, MA
and RN badge
type.
Staff changes
color of room
to Purple to
HOLD room
while patient
tranists to
others areas
and back
Staff exits the
exam room and
is in room for
30 seconds
Patient enters lab
waiting and is seen in
the area for 30 seconds
(discharge from MSK
upon entrance in
Primary Care Waiting)
Patient Enters Lab
and is seen for 30
seconds
Patient exits lab
and is seen
outside the
area or 30
seconds
Patient enters
Imaging Waiting
Patient Enters
Imaging and is
seen for 30
seconds
Patient exits
Imaging and is
seen outside the
area or 30
seconds
Patient Enters
Rehab Waiting and
is seen in the area
for 30 seconds
Patient enters
Rehab Services
and is seen in the
area for 30
seconds
Patient Exits
Rehab Services
and seen out of
the area for 30
seconds
Patient Enters
Diagnostic
Waiting and is
seen in the area
for 30 seconds
Patient Enters
Diagnostic Area
and is seen in
the area for 30
seconds
Patient Enters
Neuro Opthalmic
Exam and is seen in
the area for 30
seconds
Patient Exits Neuro-
Opthalmic Exam and
is seen out of the
area for 30 seconds.
Patient Enters
Bone Dilatometry
and is seen in the
area for 30 seconds
Patient Exits Bone
Dilatometry and is
seen out of the
area for 30
seconds.
Patient Enters
EMG and is seen
in the area for 30
seconds
Patient Exits EMG
and is seen out of
the area for 30
seconds.
Patient Enters
EEG and is seen
in the area for
30 seconds
Patient Exits
EEG and is seen
out of the area
for 30 seconds.
Patient Enters Neuro
Psychology and is seen
in the area for 30
seconds
Patient Exits Neuro
Psychology and is
seen out of the area
for 30 seconds.
Patient Exits
Diagnostic Area and
is seen out of the
area for 30 seconds.
Patient Enters
Infusion and is seen in
the area for 30
seconds
Patient Exits
Infusion and is seen
out of the area for
30 seconds.
Patient Enters Clinical
Research and is seen
in the area for 30
seconds
Patient Exits Clinical
Research and is seen
out of the area for 30
seconds.
Patient returns to room
from other areas (if
necessary)
Patient exits the
exam room and is
out of room for 30
seconds.
Patient 's Badge
is deposited in
Drop Box
MA is in the room for
15 seconds, presses
Remote Station button
on to signify the room
is clean.
Processes
Arrival To Exam Room
Appt to Exam
Exam Prep Exam Prep
Staff Exam
Arrival to RN
APP Exam APP Exam
Arrival to Provider
Appt to Provider
Exam to Provider
Provider Exam Provider Exam
Exam Follow-up
Patient Room Time
Arrival to Lab
Lab Lab
Arrival to Radiology
Radiology Img Proc
Arrival to Rehab
Rehab Rehab Serv
Arrival to Diagnostics
Diagnostics
Arrival to Neuro Opth
Neuro-Opthalmic Neuro-Opthalmic
Arrival to Bone Dilatometry
Bone Dilatometry
Bone
Dilatometry
Duration
Arrival to EMG
EMG Duration EMG Duration
Arrival to EEG
EEG EEG
Arrival to Neuro Psychology
Neuro-Psychology
Neuro Psychology
Duration
Arrival to Infusion
Infusion Infusion Duration
Arrival to Clinical Research
Clinical Research Clinical Research
Room Length of Stay Room Length of Stay
Overall Length of Stay
Visit Length Of Stay
Arrival to Imaging
Arrival to Rehab Services
Room Length of Stay
Overall Length of Stay
Arrival to Diagnostic Services
Arrival to Infusion
Arrival to Clinical Research
Diagnostic Services
Arrival to Neuro Opth
Arrival to Bone Dilatomery
Room Length of Stay (if exam room was held thorugh any of these additional care services)
Arrival to Lab
Patient is registered
in Versus (Badge
Utility or Interface)
and patient badge is
seen by sensory
network.
Arrival to Exam Room
Appt. to Exam
Exam Follow-up
Arrival to Provider
Appt to Provider
Exam Door to Provider
Patient Room Time
Staff Exam
Arrival to RN
Arrival to EMG
Arrival to EEG
Arrival to Neuro Psychology
Visit Length Of Stay
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Agenda
• N.O.W. patient-centered care model
• Identifying the tools
• Mapping the patient journey
• Piloting and implementing RTLS (Real-time Locating System)
• Data and future goals
28
Stony Point
Multidisciplinary Clinic
Orthopaedics
Radiology
*
*X-ray
29
N.O.W. CenterStony Point Pilot (no
HIS interfaces)
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► “Plug and play” wireless
â–ş Sensors mapped in existing clinic
â–ş No HIS interfaces
â–ş Helped define basic workflow
How to wear the badge
Store in badge cabinet
Clean with isopropyl alcohol
â–ş Language
Stony Point RTLS Pilot
31
Interactive Multiple Choice Question
What is the most common question asked about RTLS?
A. Does this improve my visit?
B. Who sees the data?
C. Do you see in the bathroom?
D. Why wear a badge?
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X-rayX-ray
N.O.W. RTLS Integrated with Construction
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Shared registration
Radiology
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Floor plan view
List view
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Please use blank slide if more space is required for charts, graphs, etc.
To remove background graphics, right click on selected slide,
choose “Format Background” and check “Hide background graphics”.
37
Please use blank slide if more space is required for charts, graphs, etc.
To remove background graphics, right click on selected slide,
choose “Format Background” and check “Hide background graphics”.
38
Look at those belly timers!
39
Interactive Multiple Choice Question
Which statement about RTLS is false?
A. Displays LAST name
B. Badge detected by sensors
C. Patients can decline badge
D. Badge triggers visual cues
40
Agenda
• N.O.W. patient-centered care model
• Identifying the tools
• Mapping the patient journey
• Piloting and implementing RTLS (Real-time Locating System)
• Data and future goals
41
Periodic and ad hoc
Initial KPI focus on patient satisfaction:
• Overall length of stay (OLOS): badge assigned to deposited
• Wait time: sub-wait or prior to time in exam room with clinical staff
• Time alone: time alone once in room
Focus on Orthopaedics and Radiology
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Stony Point (SP) Versus NOW
N Mean Std. Deviation Std. Error Mean
NOW 634 70.369 32.954 1.309
SP 441 79.092 40.062 1.908
Group Statistics
Location
OLOS Minutes
43
Stony Point (SP) Versus NOW
N Mean Std. Deviation Std. Error Mean
NOW 633 15.596 18.106 0.720
SP 397 18.652 18.431 0.925
Group Statistics
Location
WaitMinutes
44
Stony Point (SP) Versus NOW
N Mean Std. Deviation Std. Error Mean
NOW 602 18.85797 15.242188 0.621225
SP 345 20.79333 15.793077 0.850271
Group Statistics
Location
AloneMin
45
Combined post-op x-ray visit scheduling
Combined
appt
N Mean Std. Deviation Std. Error Mean
OLOS min Yes 9 41 13.8 4.6
No 8 42.5 16.3 5.8
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Time spent in Radiology
N Mean
Std.
Deviation
Std. Error
Mean
NOW 266 8.213 5.720 0.351
SP 135 12.767 6.857 0.590
Group Statistics
Location
Duration
Minutes
47
Challenges• “Off the shelf” reporting practical only for drilling down on individual
patients.
• Process analysis requires visualizing ALL of the data
• Current process:
– Daily (12 AM) data transfer to SQL server
– Tableau used to manipulate based on:
• Actions
• Processes
• Intervals
48
Courtesy Vimal
Mishra, MD
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Learning Objectives• Compare the function of patient self-rooming to the standard waiting
room model in an ambulatory care facility
• Compare the implementation of a RTLS in a preexisting clinic and a newly constructed ambulatory clinic
• Describe how RTLS can be used by staff at the point of care
• Recognize standard measures acquired with RTLS
• Appraise RTLS data to target processes in need of quality improvement
50
Our patient-centered care model
To measurably improve the quality of neurological and musculoskeletal health
by leveraging teamwork, information technology and innovation.
51
The Neuroscience, Orthopaedic and Wellness (N.O.W.) Center
• Patient-friendly experience
• Multidisciplinary care based on symptoms and diagnosis
• Standardize care validated by patient outcome metrics
• Proximity and shared resources
52
Questions
• https://www.linkedin.com/in/kevin-hoover-74772a3b/
• https://vcuhealthnowcenter.org/
• Please complete online session evaluation!