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Creating Quality-Driven Operational Reports

Creating Quality-Driven Operational Reports . David Sinclair MD Associate Professor of Clinical Anesthesiology Associate Chief of Anesthesiology Co -Director of Informatics Epic UChart Physician Champion. Toyota Advanced Quality Information Center.

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Creating Quality-Driven Operational Reports

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  1. Creating Quality-DrivenOperational Reports David Sinclair MD Associate Professor of Clinical Anesthesiology Associate Chief of Anesthesiology Co-Director of Informatics Epic UChart Physician Champion

  2. Toyota Advanced Quality Information Center “…a multimillion dollarcomputer system manned by 20 employees who compile repair reports from Toyota dealerships world-wide…and will be accessible on an as-needed basis.” Chester Dawson and Yoshio Takahashi, “Toyota Makes New Push to Avoid Recalls,” The Wall Street Journal, February 24, 2011

  3. Improving Quality Through Meaningful Use

  4. Can AIMS Deliver?

  5. Quality of Care EMR

  6. Electronic Medical Record Pitfalls Gill, J. M. EMRs for improving quality of care: promise and pitfalls. Fam Med, 2009; 41(7): 513-515. Heeks, R. Health information systems: Failure, success and improvisation. International journal of medical informatics, 2006; 75(2):125-137.

  7. Origins of EMR-driven Quality • Discovery • Validation • Build • Training • Go-Live • Optimization

  8. How can AIMS deliver?

  9. “Computerized support systems for decision making must present the right information, in the right format, at the right time, and without requiring special effort.” James, B. C. (2001). Making it easy to do it right. The New England Journal of Medicine 2001; 345(13): 991.

  10. Structured Data Information Knowledge Decision support Improved quality Balust, J., Macario, A. Can anesthesia information management systems improve quality in the surgical suite?. Current Opinion in Anesthesiology 2009; 22(2): 215-222.

  11. Quality?

  12. PPO Perspective Organization Provider Patient

  13. Patient Guideline-based care • Internal protocols • National measures (PQRS, SCIP) & Error avoidance • Interaction checking • Avoidance of medication errors

  14. Point-of-care Decision Support • ACLS algorithms • MH protocol • Transplant protocols • Drug dose calculator

  15. Guideline-Based Care • Timely administration of antibiotics • Periop temperature monitoring • Periop Beta-blocker continuation • Periop DVT and embolism prevention • PONV prophylaxis • Medication error prevention

  16. Provider Patient & Timely access to patient’s health information • Coordinated communication • Data exchange

  17. Organization Provider & Automated screening and aggregation of data • Surveillance and monitoring

  18. Anesthesia Clinical Leader • System Administrator • System configuration • Log-in access • Security clearance • Clinician • Clinical Analyst

  19. Patient

  20. Quality Reports

  21. Real-time Patient Experience

  22. Patient

  23. Operational Reports

  24. Patient

  25. Organization

  26. Organization

  27. Organization

  28. Organization =IF(AND(OR(Antibiotics<>"vancomycin",Antibiotics<>"clindamycin",Antibiotics<>"levaquin"),(OR(incision_admin<0,incision_admin>60))),"missed","No")

  29. Organization =IF(AND(OR(Specialty="URO",Specialty="NEURO"),OR(Antibiotics="cefazolin",Antibiotics="ciprofloxacin",Antibiotics="ceftriaxone",………….”yes",IF(AND(Specialty="ORTHO",OR(Antibiotics= "cefazolin",…………..Antibiotics="ampicillinsulbactam")),"yes","no"))))))

  30. Organization

  31. Organization

  32. Organization

  33. Organization

  34. Microsoft Excel ® Worksheets

  35. Visual Basic for Application Macro

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