J Am Med Inform Assoc doi:10.1136/amiajnl-2013-001789
  • Case report

e-Measures: insight into the challenges and opportunities of automating publicly reported quality measures

  1. Jed Weissberg4
  1. 1Health Information Technology Transformation and Analytics, Kaiser Permanente, Oakland, California, USA
  2. 2Quality and Operations Support, The Permanente Medical Group, Oakland, California, USA
  3. 3Quality and Regulatory Services, Kaiser Permanente Northern California, Oakland, California, USA
  4. 4Hospitals, Quality and Care Delivery Excellence, Kaiser Permanente, Oakland, California, USA
  1. Correspondence to Terhilda Garrido, HIT Transformation and Analytics, Kaiser Permanente, 1800 Harrison Street, Oakland, CA 94612; Terhilda.Garrido{at}
  • Received 6 March 2013
  • Revised 3 May 2013
  • Accepted 18 June 2013
  • Published Online First 5 July 2013


Using electronic health records (EHR) to automate publicly reported quality measures is receiving increasing attention and is one of the promises of EHR implementation. Kaiser Permanente has fully or partly automated six of 13 the joint commission measure sets. We describe our experience with automation and the resulting time savings: a reduction by approximately 50% of abstractor time required for one measure set alone (surgical care improvement project). However, our experience illustrates the gap between the current and desired states of automated public quality reporting, which has important implications for measure developers, accrediting entities, EHR vendors, public/private payers, and government.

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