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Using CPCSSN data for predictive analytics at point-of-care

Using CPCSSN data for predictive analytics at point-of-care. Karim Vassanji Karim Keshavjee. CFPC CoI Templates. Faculty/Presenter Disclosure. Faculty: KARIM VASSANJI Nothing to disclose . Karim Vassanji Karim Keshavjee.

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Using CPCSSN data for predictive analytics at point-of-care

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  1. Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

  2. CFPC CoI Templates Faculty/Presenter Disclosure • Faculty: KARIM VASSANJI • Nothing to disclose Karim Vassanji Karim Keshavjee

  3. Are Primary Care Physicians Practicing High Definition Medicine Using Black And White Technology? Karim Vassanji Karim Keshavjee

  4. The EMR landscape in primary care in Canada Karim Vassanji Karim Keshavjee

  5. The EMR landscape in primary care • Designed for Record Keeping • Structured Data • Unstructured Data • Some Capability for Patient Population Management • Reminders • Queries • Require Clean Data Karim Vassanji Karim Keshavjee

  6. Can We Manage Patient Populations with EMRs? Karim Vassanji Karim Keshavjee

  7. Karim Vassanji Karim Keshavjee

  8. Dirty Data Managing patient populations with EMRs • Difficult and Imprecise • False positives • False negatives • Reminders and Queries • Alert Fatigue • Slows Down EMR Karim Vassanji Karim Keshavjee

  9. Karim Vassanji Karim Keshavjee

  10. Potential Solutions? Karim Vassanji Karim Keshavjee

  11. Pan Canadian Initiative • Extracts EMR data from 10 different EMRs • Structured database • Available for research • De-identified data • Case finding algorithms • Cleaning algorithms • Statistical De-identification • Paper reports sent to Physicians Karim Vassanji Karim Keshavjee

  12. EMR 1 EMR 2 EMR n Karim Vassanji Karim Keshavjee

  13. CouldCPCSSNBringSomeColorToHighDefinition Primary CareMedicine? Karim Vassanji Karim Keshavjee

  14. Current CPCSSN dataset structure needs to be transformed to support advanced analytics Patient Encounters Providers Vaccines Referrals Proc Vitals Health Card Meds Labs Allergies Karim Vassanji Karim Keshavjee

  15. The transformation… Karim Vassanji Karim Keshavjee

  16. CPCSSN Analytics Database Data Transformation Karim Vassanji Karim Keshavjee

  17. Predictive Analytics 101 Karim Vassanji Karim Keshavjee

  18. Regression Models • Linear Regression • Logistic Regression • Multinomial Logistic Regression • Time Series Models • Survival Analysis • Multivariate Adaptive Regression Splines • Machine Learning • Neural Networks • Radial Basis Functions • Support Vector Machines CPCSSN Analytics Database • Angoss Knowledge Studio • Predixion • KXEN Modeler • TIBCO Spotfire • SAS • SPSS Karim Vassanji Karim Keshavjee

  19. The sequence… Karim Vassanji Karim Keshavjee

  20. 1st STEP CPCSSN Analytics Database Develop custom programs to address issues Identify patient profiles which need urgent attention Predictive Analytics Tools • Drivers of cost • High risk for readmission • Multiple co-morbidities • ... Karim Vassanji Karim Keshavjee

  21. 2nd STEP Submit programs and eligibility criteria to clinics CPCSSN Analytics Database Identify clinics which can benefit from custom programs Karim Vassanji Karim Keshavjee

  22. 3rd STEP CPCSSN Analytics Database Identify patients who are eligible for programs Develop and implement action plans Re-identify CPCSSN dataset to their EMR equivalent Provide clinics with their portion of the CPCSSN dataset Karim Vassanji Karim Keshavjee

  23. Karim Vassanji Karim Keshavjee

  24. CPCSSN Analytics Database Karim Vassanji Karim Keshavjee

  25. One size fits all?! Karim Vassanji Karim Keshavjee

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