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August 29, 2005

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Caroline Song COH. Cindy Stahl COH. Susan Pannoni COH. Scott Finley BAH. Brenda Duggan NCI. Beverly Meadows NCI. Erin Itturiaga NCI. Diane Paul CARRA. Ann Setser CTEP ... – PowerPoint PPT presentation

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Title: August 29, 2005


1
August 29, 2005
Clinical Trial Management Systems Workspace
Update on Adverse Event SIG Activities
Joyce C. Niland, PhD Chair and
Professor, Information Sciences City of Hope
2
Adverse Event SIG Update
  • AE SIG Activities
  • COH caAERS Activities
  • Next Steps for caAERS
  • Group Exercise

3
caBIG Adverse Event Reporting System (caAERS)
  • Creation of tools for the capture of adverse
    events that occur during clinical trials
  • Reporting of these events to individuals and
    organizations responsible for the conduct of
    trialsand for patient safety
  • 12 modules
  • Configurable for cancer centers with minimal data
    management systems in place, and those with
    established systems
  • Production release of Modules 1-4 March 2006

4
caBIG Desiderata
  • Open access, open source software
  • Derived from common information models
  • Uses standards for data exchange formats
  • Data and metadata follow ISO/IEC 11179
  • Consume appropriate public, open access standards
    when available

5
caBIG Adverse Event Reporting System(caAERS)
  • Goal
  • Open source shareable software system to
    provideuniform expedited reporting of AEs across
    trials
  • Challenges
  • Open source software development
  • Soliciting and considering nationwide input
  • Incorporating national/international standards
  • Interfacing with in-house and vendor-based
    systems
  • Including Cancer Center, sponsor agency
    perspectives
  • Project with large community of stakeholders

6
Adverse Event SIG Participants
  • Donna Marlatt Dartmouth
  • Bill Banks Duke
  • Sharon Elcombe Mayo
  • Lori Wangsness Mayo
  • John Speakman MSKCC
  • Doug Fridsma UPCC
  • Sorena Nadaf Vanderbilt
  • Bob Morrell Wake Forest
  • Rhoda Arzoomanian Wisconsin
  • Prakash Nadkarni Yale
  • Kim Klingler SAIC
  • Joyce Niland Lead, COH
  • Doug Stahl Co-Lead, COH
  • Caroline Song COH
  • Cindy Stahl COH
  • Susan Pannoni COH
  • Scott Finley BAH
  • Brenda Duggan NCI
  • Beverly Meadows NCI
  • Erin Itturiaga NCI
  • Diane Paul CARRA
  • Ann Setser CTEP

7
Dimensions Impacting caAERS
External Forces
FDA NCI DCP, DCPD, CTEP HIPAA, Sponsors Theradex P
atients PIs MDs Patients Sponsors Mo
nitors CRAs IRBs NCI
F U N C T I 0 N A L I T Y
HL7 CDISC ICH XML ISO CFR
CDUS GeMCRIS
Existing Systems
Standards
ACES
MEDRA SNOMED CDE CTCAE
AdEERS CSAERS
End Users
8
Comparison of Existing AE-Related Systems ACES
AdEERS CDUS CSAERS GeMCRIS
MedWatch
9
Objectives in Developing caAERS
  • Simplify, standardize, and unify AE reporting
    process while making the process as efficient as
    possible
  • Capture and evaluate AEs
  • Route AE report internally for sign-off
  • Submit data externally for regulatory reporting
  • Provide automated decision support for AE coding
  • Allow public entry and query of AE related
    information
  • Provide for data mining of AEs aggregated in a
    national data warehouse

10
Componentized Approach to caAERS
11
Componentized Approach to caAERS
11
Public SafetyProfiling Website
CTC RelatedLab Data
CTC RelatedQualitative Data
Clinical Trial Participants
8
7
Safety Profiler
Grade 1- 5 AEs
Automated CTC Grading
caBIG Adverse Event System (AES)
2
1
3
AE Data
Patient/Protocol Data
4
12
Transmission to External Agencies
Internal Routingand Review
10
Publication of Summary Results
9
IRB
PI/CRA
PatientSelf-Reporting
DSMB Monitor
5
6
Data Mining forRisk Patterns
Transmission to caBIG AE Data Warehouse
12
AE SIG Mission and Goals
Quarter 1
  • Contribute to User Requirements for AERS
  • Review and Discuss Draft User Requirements
    Artifacts
  • Contribute to the Identification of elements and
    demographics for a Structured Protocol
    Representation (SPR) as required for AE Data
    Capture and Reporting

13
AE SIG Mission and Goals
Quarter 2
  • Discuss/Resolve Issues related to AE Data
    Capture and Reporting
  • Discuss/Resolve Issues related to SPR Data
    Elements required for AE Data Capture and
    Reporting and provide feedback to SPR SIG
  • Validate User Requirements for AERS Modules and
    work with caAERS Team to finalize

14
AE SIG Mission and Goals
Quarter 3
  • Review Design Documents for caAERS Modules
  • Validate caAERS Module Design against User
    Requirements
  • Validate caAERS design elements related to SPR
    (communicating with SPR SIG and development team)

15
AE SIG Mission and Goals
Quarter 4
  • Monitor Alpha Deployment of caAERS Modules 1-4
  • Review initial Test Status and Feedback from
    Adopters of the Alpha Deployment of caAERS
    Modules 1-4
  • Provide User Feedback from Initial Deployment
    related to the structured protocol elements to
    the SPR SIG and development team

16
Acquiring User Requirements
  • Conducted interviews with groups of users
    including clinical trials management teams and
    regulatory staff at cancer centers, clinical
    trials sponsors, cooperative groups, patient
    advocates, and federal agencies
  • Draft set of user requirement specifications was
    developed including business process diagrams,
    data flow scenarios, use cases, and high level
    class diagrams
  • Reviewed and validated with larger community

17
Interviews and Collaboration
  • As issues emerged, entered into an Issues Log and
    distributed to SIG members for discussion
  • Issue resolutions documented and changes
    incorporated into the requirements specs
    (WebBoard)

18
Use Case Diagrams
19
Detailed Use Cases
20
Use Case-Driven Data Dictionary
  • Data elements derived and reconciled via use cases

21
Activity Diagrams
22
Validation of caAERS AE Management Triggers
23
caBIG AE Reporting System (caAERS)
Occurrenceof AdverseEvent withinCancer
Center trial
24
HL7 RCRIM-CDISC-caBIG Domain Analysis
ModelBiomedical Research IntegratedDomain
Group (BRIDG) Model
  • Bridging the.
  • Biomedical Research Standards
  • HealthcareStandards
  • Organizations
  • Stakeholders
  • Communities

25
Where BRIDG Fits in World of Standards
International Conference on Harmonization (ICH)
US FDA
Japan MHW
EU EMEA
Pharmaceutical Industry EU USA
Japan EFPIA PhRMA JPMA
REGULATORY AUTHORITIES
Health Care Providers Pharmacies - NCPDP
BRIDG
Clinical Trials
Standards HL7, XML
Dictionaries MedDRA, LOINC
Models NCI, OMG
(Adapted from Rebecca Kush, CDISD)
26
How do I create an application based on BRIDG?
Version 1
Version 2
Version 3
BRIDG trunk
Version 1
V 1.1
V 1.2
V 1.3
V 1.3
V 1.3
Harmonization branch
caAERs development branch
caERs 1.1
caERs 1.2
caERs 1.3
caERs 1.4
eDCI development branch
eDCI 1.1
eDCI 1.2
eDCI 1.3
eDCI 1.2
eDCI 1.3
27
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28
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29
Biomedical Research
Integrated Domain Group (BRIDG) Model
caAERS
30
How do I create an application based on BRIDG?
Version 1
Version 2
Version 3
BRIDG trunk
Version 1
V 1.1
V 1.2
V 1.3
V 1.3
V 1.3
Harmonization branch
CAERs development branch
caERs 1.1
caERs 1.2
caERs 1.3
caERs 1.4
eDCI development branch
eDCI 1.1
eDCI 1.2
eDCI 1.3
eDCI 1.2
eDCI 1.3
31
Harmonization Process of Subcomponents of the
BRIDG Model
caAERS
32
Expert HL7 Modeling Consultant
33
Chain of Information Models
  • Reference Model
  • Anatomic framework model, e.g. HL7 RIM to BRIDG
  • Domain Analysis Model (DAM)
  • Allows domain experts to communicate with
    programmers
  • Conceptual ? Abstract ? Logical DAMs
  • Message Design Model
  • Converts model into a messaging schema, e.g.
    Domain Message information Model (DMIM), XML
    Schema Definition
  • Database Design
  • Results in Conceptual, Logical, Database, and
    Physical Design Models (CDM, LDM, DDM, PDM)

34
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35
Chain of Information Models
Logical DomainAnalysis Model (LDAM)
Abstract Domain Analysis Model (ADAM)
Conceptual DomainAnalysis Model (CDAM)
Derived directly from the user requirements
specified by theUse Cases and vocabulary
36
Logical Sub-Domain Analysis Model
37
Harmonization with Related Projects Individual
Case Safety Report (ICSR)
38
Impact on HL7 RIM Already!
  • Discovered two attributes in AE domain with no
    appropriate RIM attribute within ActRelationship
    Class to describe them
  • Expectedness
  • Attribution
  • Requires an attribute of probability (certainty
    or uncertainty)
  • Needed for traceability back to the AE SIG Use
    Cases
  • In early August, AMS reported that this new
    attribute had been added per this example, and
    other similar ones brought to HL7

39
Activities of AE SIG Since April, 2005
  • Feedback on data elements for AE management and
    reporting
  • Feedback on touch points of AEs and the Study
    Calendar
  • Storyboards and prioritization of remaining
    caAERS modules
  • Verification and validation of caAERS requirement
    artifacts
  • Specification of caAERS workflow processes

40
Next Steps for caAERS Development
  • Vet the caAERS LSDam with the BRIDG team
    following the HL7 meetings in September
  • Complete the physical design framework (first
    draft created)

41
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42
Next Steps for caAERS Development
  • Vet the caAERS LSDam with the BRIDG team
    following the HL7 meetings in September
  • Complete the physical design framework (first
    draft created)
  • Iterative development phase with ongoing input
    from 2 Adopter Sites
  • Production level code for caAERS Modules 1-4
    by end of caBIG Year 2 (March 2006)
  • Rapidly move to additional modules envisioned

43
Thank You to All SIG Participants!
  • With special thanks to the following SIG members
    and their fellow staff members
  • Bill Banks (Duke)
  • Linda Doody (DCP)
  • Brenda Duggan (NCI)
  • Sharon Elcombe (Mayo)
  • Kim Klingler (SAIC)
  • Cecil Lynch (UCD)
  • Donna Marlatt (Dartmouth)
  • Bev Meadows (DCP)
  • Bob Morrell (Wake Forest)
  • Diane Paul (CARRA)
  • Ann Setser (CTEP)
  • John Speakman (MSK)

44
Questions?
45
GroupExercise
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