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J Am Med Inform Assoc. 2014 Jan-Feb;21(1):181-4. doi: 10.1136/amiajnl-2013-001789. Epub 2013 Jul 5.

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

Author information

  • 1Health Information Technology Transformation and Analytics, Kaiser Permanente, Oakland, California, USA.

Abstract

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.

KEYWORDS:

Automatic Data Processing; Electronic Health Records; Quality Assurance/Health Care

PMID:
23831833
[PubMed - indexed for MEDLINE]
PMCID:
PMC3912717
Free PMC Article

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