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AHRQ QI User Meeting Validation Pilot: Lessons Learned

This article discusses the lessons learned from the AHRQ QI User Meeting Validation Pilot, which aimed to develop and test a medical abstraction tool for validating select patient safety indicators. Topics covered include partner participation, pilot partnerships process, data abstraction outcomes, challenges faced, and resources for quality improvement.

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AHRQ QI User Meeting Validation Pilot: Lessons Learned

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  1. AHRQ QI User MeetingValidation Pilot Lessons LearnedLaura Puzniak, PhD, MPH Friday, September 28, 2007

  2. Partner Participation • Facilitating organizations • collaborating with one or more individual hospital • Hospital systems • representing more than one individual hospital • Individual hospitals

  3. Pilot Partnerships

  4. Process for Partners • Questionnaire • Available administrative data • Accessible medical record data • Full or partial EMR • Attend webinars • Project Overview • Overview of PSIs • Tool Abstraction • Run AHRQ QI software • Estimates of indicator frequency • Apply Sampling methodology • Data Abstraction

  5. Outcomes for Pilot • Develop and test medical abstraction tool for validating select PSIs • Develop effective protocols to use tools • Develop and apply reliable sampling method • Develop system that is useable and applicable across healthcare settings • Obtain data to further the evidence base of the PSIs • Provide results to organizations to guide programming

  6. Challenges • Correspondence • Regulatory Issues • Sampling Methodology • Data Application Development • Data Abstraction Tools/Data Entry

  7. Correspondence • Magnitude of partnerships • Varying contacts per agency • Varying levels of familiarity with the indicators • Technical difficulties • Timing

  8. Regulatory Issues • Varying IRB requirements per agency • HIPAA Privacy Rule • OMB Clearance

  9. Sampling Methodology • Versions of application to download and run • Technical Issues

  10. Data Application Development • Requirements • Timeframe • Usability

  11. Data Abstraction Tools/Data Entry • Electronic Medical Records • Training • Incomplete records • Text fields

  12. Phase II • Currently recruiting partners • Contact Information • Laura Puzniak, puzniakl@battelle.org • Sign up for listserv, to receive notification • Training from experts on how to utilize chart abstraction for quality improvement • Additional resource to review potentially preventable complications and identify opportunities for quality improvement • Ability to play a role in the development of resources for quality improvement

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