@inbook{6c219e6e56524d6fb281a72b79a64ed8,
title = "Analysis of anesthesia screens for rule-based data quality assessment opportunities",
abstract = "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.",
keywords = "Electronic health record, data quality",
author = "Zhan Wang and Melody Penning and Meredith Zozus",
note = "Publisher Copyright: {\textcopyright} 2019 American Psychological Association Inc. All rights reserved.",
year = "2019",
doi = "10.3233/978-1-61499-951-5-473",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "473--478",
editor = "Kuo, {Alex Mu-Hsing} and Andre Kushniruk and Francis Lau and Borycki, {Elizabeth M.} and Gerry Bliss and Helen Monkman and Roudsari, {Abdul Vahabpour} and Bartle-Clar, {John A.} and Courtney, {Karen L.}",
booktitle = "Improving Usability, Safety and Patient Outcomes with Health Information Technology",
}