Analysis of anesthesia screens for rule-based data quality assessment opportunities

Zhan Wang, Melody Penning, Meredith Zozus

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations


A rules-based data quality assessment system in electronic health record was explored through compilation of over six thousand data quality rules and twenty-two rule templates. To overcome the lack of knowledge sources and identify additional rules or rule templates, thirty-three anesthesia (perioperative period) EHR screens were reviewed. We analyzed the data elements appearing on anesthesia screens and relationships between them to identify new data quality rules and rule templates relevant to anesthesia care. We present the review process as well as new rules and rule templates identified. We found decomposition and analysis of EHR screens a viable mechanism for acquisition of new data quality rules and proved the number of rules likely tractable and their management scalable.

Original languageEnglish (US)
Title of host publicationImproving Usability, Safety and Patient Outcomes with Health Information Technology
Subtitle of host publicationFrom Research to Practice
EditorsAlex Mu-Hsing Kuo, Andre Kushniruk, Francis Lau, Elizabeth M. Borycki, Gerry Bliss, Helen Monkman, Abdul Vahabpour Roudsari, John A. Bartle-Clar, Karen L. Courtney
PublisherIOS Press
Number of pages6
ISBN (Electronic)9781614999508
StatePublished - 2019

Publication series

NameStudies in Health Technology and Informatics
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


  • Electronic health record
  • data quality

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management


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