IDR Snapshot:Quantitative Assessment MethodologyEvaluating Size and Comprehensiveness ofan Integrated Data Repository     ...
Research question• How can you evaluate an IDR?                • What makes a good IDR ? (for research)?                • ...
Vojtech Huser   http://code.google.com/p/idrsnapshot/   3
Motivation/Assumptions• Improving IDR      – while acknowledging the a-priori limitations• Ideal IDR for a researcher     ...
Examples• Academic medical center                • with limited number of outpatient clinics                    – Universi...
Target level (researcher-facing schema)• Level 1: Epic Clarity (6000+ tables)• Level 2: Clinical Data Repository (add data...
Beyond core data sources      – Diagnoses, Procedures, Labs      – ADT data (admission, ICU)      – Visit data• Less-commo...
Measures• Glasgow comma scale of 10 vs. 5• Apgar score of 7 vs. 5•• Good measure:      – Intuitive to interpret (count of ...
“Consortia made easy(ier)”Vojtech Huser   http://code.google.com/p/idrsnapshot/   9
Results   (site A, site B)               Vojtech Huser, IDR Snapshot                                                 10   ...
Vojtech Huser   http://code.google.com/p/idrsnapshot/   11
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  • Introduction into the problem, some thoughts on how can we measure this, some results, questions to the audience
  • Respiration – strong cry vs. weak irregular breathing (takes one point)Appearance – pink extremities, pale/blue all over (takes two points)
  • Vojtech Huser IDR Snapshot

    1. 1. IDR Snapshot:Quantitative Assessment MethodologyEvaluating Size and Comprehensiveness ofan Integrated Data Repository Vojtech Huser, MD PhD James J Cimino, MD Laboratory for Informatics Development NIH Clinical Center NLM
    2. 2. Research question• How can you evaluate an IDR? • What makes a good IDR ? (for research)? • IDR A(in 2007) vs. IDR A (in 2012) • IDR A vs. IDR BVojtech Huser http://code.google.com/p/idrsnapshot/ 2
    3. 3. Vojtech Huser http://code.google.com/p/idrsnapshot/ 3
    4. 4. Motivation/Assumptions• Improving IDR – while acknowledging the a-priori limitations• Ideal IDR for a researcher – versus existing data• General measure on whole-IDR level – Not research project specific• Build on CTSA IDR surveys from 2007, 2008 and 2010Vojtech Huser http://code.google.com/p/idrsnapshot/ 4
    5. 5. Examples• Academic medical center • with limited number of outpatient clinics – University of Utah• Integrated delivery network • Outpatient and inpatient records – Partners Healthcare• HMO • Health Plan component – Kaiser Permanente South CaliforniaVojtech Huser http://code.google.com/p/idrsnapshot/ 5
    6. 6. Target level (researcher-facing schema)• Level 1: Epic Clarity (6000+ tables)• Level 2: Clinical Data Repository (add data from GE Centricity (outpatient) (plus other sources)• Level 3: subset of CDR for health plan members only• Level 4: i2b2, or VDW, or OMOP, or XYZ (Deduce, Further, BTRIS)Vojtech Huser http://code.google.com/p/idrsnapshot/ 6
    7. 7. Beyond core data sources – Diagnoses, Procedures, Labs – ADT data (admission, ICU) – Visit data• Less-common data sources – Insurance history data – Over the counter drug data – Death certificate data – Link to other sources – Pharmacy dispensing data – Out of network claims data • Health Plan data » Heath Assessment questionnaire data » Out of network pharmacy refills dataVojtech Huser http://code.google.com/p/idrsnapshot/ 7
    8. 8. Measures• Glasgow comma scale of 10 vs. 5• Apgar score of 7 vs. 5•• Good measure: – Intuitive to interpret (count of patients) – facilitates monitoring and improvement – does not place any arbitrary value on individual measure components – (e.g., value of 10 years of medication history vs. 10 years of weight/height history).Vojtech Huser http://code.google.com/p/idrsnapshot/ 8
    9. 9. “Consortia made easy(ier)”Vojtech Huser http://code.google.com/p/idrsnapshot/ 9
    10. 10. Results (site A, site B) Vojtech Huser, IDR Snapshot 10 http://code.google.com/p/idrsnapshot
    11. 11. Vojtech Huser http://code.google.com/p/idrsnapshot/ 11

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