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Vojtech Huser IDR Snapshot
 

Vojtech Huser IDR Snapshot

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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 Vojtech Huser IDR Snapshot Presentation Transcript

  • 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
  • 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
  • Vojtech Huser http://code.google.com/p/idrsnapshot/ 3
  • 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
  • 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
  • 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
  • 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
  • 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
  • “Consortia made easy(ier)”Vojtech Huser http://code.google.com/p/idrsnapshot/ 9
  • Results (site A, site B) Vojtech Huser, IDR Snapshot 10 http://code.google.com/p/idrsnapshot
  • Vojtech Huser http://code.google.com/p/idrsnapshot/ 11