e-Measures: insight into the challenges and opportunities of automating publicly reported quality measures.
Where this comes from
- Record sourced from PubMed, PMID 23831833.
- Also identified by DOI 10.1136/amiajnl-2013-001789 and PMC identifier 3912717.
- Licence recorded as CC BY-NC.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
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.
Medical subject headings
- Electronic Health Records
- Quality Assurance, Health Care