Electronic Health Records for Clinical Research EHR/CR PowerPoint PPT Presentation

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Title: Electronic Health Records for Clinical Research EHR/CR


1
Electronic Health Records for Clinical Research
EHR/CR Functional Profile
  • July 2007

2
Problem
  • National (EU and US) initiatives for
    Interoperable Electronic Health Records (eHealth)
    are causing more source data for clinical
    research to be redundantly collected, first in
    EHR then printed and entered into EDC Systems
  • Potential Pharmaceutical Research benefits of the
    EHR were NOT initially considered
  • Better Patient Safety Monitoring
  • Elimination of Redundant Data Entry
  • Streamlined Healthcare and Clinical Research
    Processes
  • Enhanced Recruitment (Patients and Investigators)
  • Outcome Research
  • Protocol Feasibility
  • etc.

3
The Challenge
Approaches To Clinical Trial Data Capture At
Investigator Sites
Patient visit
Historical
Healthcare
Research
Paper CRF
Research Database
Paper Record
Paper or Electronic Health Record
Emerging but Duplicative
Research Database
eCRF, ePRO, Labs
Hosted Data
EDC
Future Integration
EHR-S
Trial Specific Data
Electronic Health Record
Research Database
Trial
4
Opportunity to make a Difference
  • Invites by HL7 TC (Lenel James) and Q-Rec
    (Georges DeMoor) to participate in an EHR
    certification activity to address Clinical
    Research needs
  • Project initiated to develop a Clinical Research
    Functional Profile (EHR/CRFP) that can be
    included in the EHR certification programs in
    both the US and EU in order to facilitate the
    inclusion of EHR source data in regulatory
    submissions

5
EHR/CR-FP Co-chairs John D. Mestler Procter
Gamble Pharmaceuticals,
PhRMA EDC Taskforce, eClinical
Forum Suzanne Bishop SKB Consulting, eClinical
Forum US Richard Perkins ConSept Consulting,
eClinical Forum EU EHR/CR-FP Functional Profile
Working Group (International Group) Mathias
Poensgen Altana Pharma AG / Nycomed Gary
Drucker Bayer Healthcare, Pharmaceuticals Tricia
Gregory Boehringer Ingelheim Pharmaceuticals Darl
ene Kalinowski Bristol Myers Squib Jane Griffin,
RPh Cerner Corporation (EHR vendor) Marie
MacDonald ClinPhone Inc (Clinical technology
vendor) Linda King Eli Lilly Company Vincente
Rodriguez Eli Lilly Company Jay Levine
FDA Joe Salewski FDA Christian
Reich Genstruct Frank Jensen Lundbeck
Pharmaceuticals, EFPIA Catherine
Célingant Millennium Pharmaceuticals, Inc. Harry
Greenspun Northrop Grumman Health
Solutions Mitra Rocca Novartis
Pharmaceuticals Mika Mustonen Orion
Pharmaceuticals TBD EuroRec Q-Rec Miguel
Valenzuela Roche Products Limited Daijin
Kim Pfizer Suzanne Markel-Fox GSK
6
Project Objectives
  • Develop a Global EHR/Clinical Research Functional
    Profile
  • (EHR/CR-FP)
  • Identify critical capabilities (requirements) for
    clinical research utilizing EHR systems through
  • HL7 EHR-S FM
  • Q-Rec EHR FM
  • Clinical Research-specific requirements
  • Submit to HL7 for standards acceptance
  • Submit to CCHIT Q-Rec for Certification
    Approval
  • Outcomes
  • EHR Vendors provided with encouragement
    requirements for incorporating clinical research
    functions into their systems
  • Sponsors certification will provide basis for
    evaluating EHR systems as source data systems

7
HL7 EHR/CR FM
8
Profile Essential Now (EN)
  • Ensure that patient data from an EHR system will
    meet clinical research regulatory requirements
    for data collection, management, extraction,
    security, and can be interpreted in a consistent
    manner (21 CFR Part 11, CSUCT, etc.)
  • Functions must be present to use EHR data for
    clinical research without redundant re-keying and
    verifying

9
Profile Essential Future
  • Functions needed to improve efficiency and
    performance
  • Functions necessary to ultimately conduct all
    clinical research data capture and management
    through national health information networks and
    systems.
  • Functions will be divided into levels along the
    evolution to this ultimate goal.

10
Emerging and Future EHR-Research Connectivity and
Complexity
Interoperable
Integrated
Core
Connected
Site eSource
Site eSource
Research System
Core
Tier 3
  • Core
  • (Minimum Requirement)
  • EHR systems holding some source data used in
    Clinical Research meet essential regulatory
    requirements
  • Electronic data can be electronically extracted
    but manually transferred into research systems
  • Research systems must still collect
    trial-specific data

Tier 1
Tier 2
  • Interoperable
  • (Future Ideal)
  • EHR and Research systems work seamlessly together
    and sit on same international network.
  • Data access mining capabilities across
    healthcare research.
  • EHR System satisfies all needs for data capture
    for a clinical trial and hold the complete
    patient medical record including all clinical
    trial / research data
  • Connected
  • (Emerging Future)
  • All non-efficacy trial data collected via EHR
    structured data elements
  • Clinical trial data transferred from EHR via
    automatic/electronic industry standards
  • No further duplication of data entry
  • Integrated
  • (Future Vision)
  • Relevant data from EHR and Research System
    components are seamlessly transferred in both
    directions. No data transcription, the EHR system
    functions as the patient data repository, trial
    data not collected at site is transferred to EHR,
    Research holds virtually no source data.
    Queries are handled electronically.

11
EHR-CR Data Collection
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