ehealth governance in a local organisation. the experience from pompidou hospital
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eHealth Governance in a Local Organisation. The Experience from Pompidou Hospital. Degoulet P. eHealth week 2010 (Barcelona: CCIB Convention Centre; 2010)TRANSCRIPT
Prof. Patrice Degoulet
Hôpital Européen Georges Pompidou (HEGP)
Faculté de Médecine René Descartes, Université Paris 5
eHealth Governance in a Local Organisation:IT for Managing Care and Fostering Research at HEGP
Barcelona, March 17, 2010
• The context
– The scope
– The barriers
• The need for global IT infrastructures
• The HEGP case
• Key issues
eHealth Governance
eHealth Governance
• Quality management
• Population follow-up
• Clinical Investigation
• Intervention studies
• Data management
- Electronic Health Records (EHR)
- Clinical Data Warehouses (CDW)
- Biobanks management (BBM)
• Information management
- Biostatistics, bioinformatics
- Decision support systems
• Knowledge management
- Ontology management
- Data mining
IT Tools
Research
The scope
• Patient management
• Disease management
• Education
Care
• The context
– The scope
– The barriers
• The need for global IT infrastructures
• The HEGP case
• Key issues
eHealth Governance
• Technical (interoperability issues)
–Architectures based on heterogeneous vertical applications
–Syntax : coexistence of different message standards & versions
(DICOM, Edifact-HL7-CDISC)
–Semantics : coexistence of versions of international standards (e.g.
ICD9CM/ ICD10, SNOMED 3.5 /CT and local terminologies (e.g.,
procedures, drugs)
–Lack of security/confidentiality measures (precondition to
interoperability)
Barriers Technical
Healthcare units
Fu
nct
ion
s
…
Lab Rx PharmICU
…
Emerg
POE
Appt.
EHR
Auth,
POE
EHR
Auth,
Med
POE
Appt.
EHR
Auth,
Surgery
POE
Appt.
EHR
Auth,
Appt.
EHR
Auth,
POE
EHR
Auth,
EHR
Auth,
Appt.
HIS : A multitude of vertical
applicationsBarriers
Pathology
Genomics
• Organizational
–Lack of coordination and governance bodies (e.g. administrative vs.
biomedical informatics, biomedical vs. bioinformatics, etc.)
• Political
–Short term vs. long term strategies
–Financing repartition (hospitals vs. universities vs. research
organizations)
Barriers Organizational & political
• The context
• The need for global IT infrastructures
• The HEGP case
• Key issues
eHealth Governance
IT & clinical research
1. Necessity for a general IT conception
2. Support for an open source/open community approach
3. Acceptance of eSource in clinical research (eCRF) in place of
paper CRF
4. Interoperability of EHR and electronic data capture (EDC)
5. Harmonization and bridging of standards for technical and
semantic interoperability
Five Directions
Ohmann C & Kuchinke W. Methods Inf Med 2009; 48: 45-54.
Research
eHealth Governance
Clinical Data
Warehouse
(CDW)Analytical
processing (OLAP),
Data Mining (OLAM)
3
Diagnostic,
predictive,
therapeutic
models
Knowledge bases
EBM sources
Decision
support systems5
Disease-oriented
Databases
Registries
Clinical Trials
Databases
4
Healthcare
Professionals
Patients
Dossier
patient
informatisé
Dossier
patient
informatisé
Electronic
Health Record
(EHR)
Heterogeneous
data integration
16
2
Care
Semantic
interoperability
platform
Global IT framework
eHealth Governance Organization of IT human resources
Bernstam EV et al. Academic Med 2009; 84 (7): 964-70.
Discipline Production Research
IT (Computation IT support Basic computer science& Technology) - Networks
- ServersResearch IT- Setting research databases- Supporting research software
Informatics Data/information/knowledge New data/information/ management knowledge methods- Requirement analysis - Ontology design methods- Data warehouse design - Bioclinical integration- Interoperable system design - NLP
- New algorithms
• The context
• The need for global IT infrastructures
• The HEGP case
• Key issues
eHealth Governance
Hôpital Laennec (1634) Hôpital Boucicaut Hôpital Broussais
HEGP Background A large restructuring effort (July 2000-)
Main figures (2009)
NoNumber of active beds (Inpatient + One day care) 890
Total number of employees 3 200
- Nb. of physicians (FTE) 400
Mean number of inpatient admissions/month 4 700
One day hospital care (% of admissions) 49%
Number outpatients visits/month 18 000
Nb. visits at the emergency department/day 110
Nb. PC/light terminals 3 000
Nb. wireless portables computers 250
Nb. simultaneous users (at 11:00 am) 1 200
HEGP Background
Budget (2008)HEGP Background
Expenses (M€)Non medical personnel 122.1 46.3 %
Medical personnel 45.5 17.2 %
Other expenses 96.3 36.5 %
Total 263.9 100.0 %
Incomes (M€)DRG activities 157.0 61,1 %
Other activities 47.0 18,3 %
Education & research 53.1 20.6%
Total 257.1 100.0 %
HEGP Background Shared BioBank (2008-)
HEGP BackgroundHEGP Cardiovascular
Research Center (September 2009-)
HEGP Background IT Governance (2010)
HEGP Executive Board(20 members)
IT Executive Board(General Director, Medical Director,
Finance Director, IT Director)
IT Committee(20 members)
Hospital Governance
IT Governance
Ad hoc Committee
User representation
User representation
HEGP Background
Clinical
epidemiology(Pr Chatellier)
IT &
Informatics(Pr Degoulet)
IT Organization (2010)
Biostatistics
& DRG
Management(Dr Heudes)
Epidemiology
&
Evaluation(Dr Durieux)
Clinical
Research(Pr Chatellier)
Informatics & Public Health Department(Pr Degoulet, coordinator)
Knowledge
engineering & eHealth(Dr Jaulent)
Clinical
Investigation
Center
(6 beds)(Pr Azizi)
Biomedical
Investigation(Dr Daniel)
CIS components
Actcomponent (AC)
Healthcare components
Application portal
Institution-relatedterminologies
structuresresources protocols
Patient-relatedidentityclinical
biologicalimages
documents
Client
Generic componentsSecurity
Manager (Sec)
Document Processor (DP)
Reference Manager (RM)
Identification device
Data/ information repositories
Communication Manager (Com)
Health record(HR)
Patientcomponent (PC)
Resourcecomponent (RC)
SessionManager
Decision SS (DSS)
Context Manager (CM)
A component-based architecture
EHR Concept dictionary 2000 -
• Concepts are
declared once and
only once
• They can be reused
(e.g. structured data
entry, report
generation)
EHR Concept dictionary + SNOMED
• Concepts within the concept
dictionary are associated with
SNOMED entries
• Semantic links within
SNOMED can be used to
facilitate EHR queries
provide reasoning capabilities
foster interoperability (other
EHRs, EHR-CDW integration,
knowledge coupling, )
12/2009 -
HEGP CDW EHR/CDW integration : concept dimension
CIS Reference manager I2B2 Concept dimensionETL tools
HEGP CDW EHR/CDW integration
EHR :
Operational
Database
(ODS)
EHR :
Mirrored
Database
Production environment Evaluation/Research environment
ETL suite (Talend Open Studio)
Clinical Data
Warehouse
(CDW)
I2B2 DW
External
Databases
Data Analysis
Data Mining
R, SAS
Cognos PowerHouse,
I2B2 Client
Business Object
Ilog Rules
Real time requests
HEGP IT platform Quality management
Clinical Data
Warehouse
(CDW)
Analytical processing (OLAP),
Data Mining (OLAM)
3
Diagnostic,
predictive,
therapeutic
models
Knowledge bases
EBM sources
Decision
support systems5
Disease-oriented
Databases
Registries
Clinical Trials
Databases
4
Healthcare
Professionals
Patients
Electronic
Health Record
(EHR)
Heterogeneous
data integration
16
2 Semantic
interoperability
platform
EHCR quality indicators with I2B2 & BO
Rate of clinical reports production by hospital unit
– Nb. sej : number of stays (A)
– Nb. sej avec CR : number of stays with a report (B)
– Nb. sej sans CR : number of stays without a report
– Taux : rate (B/A)
– Nb. CRH : total number of clinical reports
Quality Management
HEGP IT platform External Registries
Clinical Data
Warehouse
(CDW)Analytical
processing (OLAP),
Data Mining (OLAM)
3
Diagnostic,
predictive,
therapeutic
models
Knowledge bases
EBM sources
Decision
support systems5
Disease-oriented
Databases
Registries
Clinical Trials
Databases
4
Healthcare
Professionals
Patients
Electronic
Health Record
(EHR)
Heterogeneous
data integration
16
2 Semantic
interoperability
platform
HEGP IT platform Clinical Research : Trials,
evaluation studies
Clinical Data
Warehouse
(CDW)Analytical
processing (OLAP),
Data Mining (OLAM)
3
Diagnostic,
predictive,
therapeutic
models
Knowledge bases
EBM sources
Decision
support systems5
Disease-oriented
Databases
Registries
Clinical Trials
Databases
4
Healthcare
Professionals
Patients
Electronic
Health Record
(EHR)
Heterogeneous
data integration
16
2 Semantic
interoperability
platform
Clinical Research IntegrationeCRF & EHR : inclusion criteria
Arcadia Project
Clinical Research Integration eCRF & EHR : clinical data capture
• The context
• The need for global IT infrastructures
• The HEGP case
• Key issues
eHealth Governance
– Define an organization to foster collaboration between the care and
research actors
– Define an IT staff organization to cover both the care and research
activities
– Promote sound IT infrastructures
Design the EHR in a data warehouse perspective
Promote architectures that foster (semantic) interoperability
Security traceability policy
eHealth Governance Key Issues
Acknowledgments
IECR
Michel Azizi
Gilles Chatellier
Christel Daniel
Thierry Dart
Pierre Durieux
Didier Heudes
Eric Zapletal
Pharmacy
Brigitte Sabatier
Patrice [email protected]
Lise Marin
Bruno Frandji
Marie-Christine Jaulent