E-Prescribing and Medication Management

Douglas Bell,  Department of Medicine at University of California Los Angeles
David R. Mehr, Curtis W. and Ann H. Long Department of Family and Community Medicine at the University of Missouri
Ken Majkowski, Surescripts LLC.

Agency for Healthcare Research and Quality

March 31, 2009

Index of Slides : Text Only Version

  1. E-Prescribing and Medication Management
  2. Modeling E-Prescribing Processes to Understand Design Trade-offs
  3. E-Prescribing as a Model System
  4. E-Prescribing as a Policy Instrument
  5. Mechanism of E-Prescribing Effects
  6. Macro Process Model
  7. Process Mapping
  8. Add Rework Pathways
  9. Add E-Prescribing
  10. Qualitative, Micro-level Process Model
  11. Quantitative Modeling
  12. Model 2c: New Rx via E-Prescription with Formulary & Benefit
  13. Sample Results: New Rx
  14. Conclusions
  15. Thank You! dbell@rand.org
  16. Generating Accurate Medication Information
  17. Need for Medication Lists
  18. Accurate listing needed to:
  19. Patient Sources of Error
  20. System Problems
  21. Possible solutions
  22. Problems with Reconciliation
  23. Compose New Secure Message
  24. Problems with On-line Systems
  25. Conclusion
  26. Thank You! mehrd@health.missouri.edu
  27. Medication Management and the Act of ePrescribing
  28. Definition of E-Prescribing
  29. E-Prescribing: How it works
  30. Surescripts Services
  31. Payer Member Records – March 2009
  32. Prescription History
  33. Medication History for Hospitals
  34. Value Drivers: Disaster Relief
  35. Political & Regulatory Landscape: Economic Stimulus Package
  36. E-Prescribing: How it works
  37. Political and Regulatory Landscape: MIPPA
  38. E-Prescribing Readiness
  39. For More Information
  40. Questions & Answers
  41. Coming Soon!
  42. Thank You for Attending

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