Electronic Health Records and the Reliability and Validity of Quality Measures: A Review of the Literature

Kitty S. Chan, Jonathan P. Weiner

Research output: Contribution to journalReview articlepeer-review

Abstract

Previous reviews of research on electronic health record (EHR) data quality have not focused on the needs of quality measurement. The authors reviewed empirical studies of EHR data quality, published from January 2004, with an emphasis on data attributes relevant to quality measurement. Many of the 35 studies reviewed examined multiple aspects of data quality. Sixty-six percent evaluated data accuracy, 57% data completeness, and 23% data comparability. The diversity in data element, study setting, population, health condition, and EHR system studied within this body of literature made drawing specific conclusions regarding EHR data quality challenging. Future research should focus on the quality of data from specific EHR components and important data attributes for quality measurement such as granularity, timeliness, and comparability. Finally, factors associated with poor or variability in data quality need to be better understood and effective interventions developed.

Original languageEnglish (US)
Pages (from-to)503-527
Number of pages25
JournalMedical Care Research and Review
Volume67
Issue number5
DOIs
StatePublished - Oct 2010

Keywords

  • electronic health record
  • measurement
  • quality of care
  • reliability
  • validity

ASJC Scopus subject areas

  • Health Policy

Fingerprint Dive into the research topics of 'Electronic Health Records and the Reliability and Validity of Quality Measures: A Review of the Literature'. Together they form a unique fingerprint.

Cite this