Methods for detecting malfunctions in clinical decision support systems

Adam Wright, Trang T. Hickman, Dustin McEvoy, Skye Aaron, Angela Ai, Joan Ash, Jan Marie Andersen, Rachel Ramoni, Milos Hauskrecht, Peter Embi, Richard Schreiber, Dean F. Sittig, David W. Bates

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Clinical decision support systems, when used effectively, can improve the quality of care. However, such systems can malfunction, and these malfunctions can be difficult to detect. In this poster, we describe four methods of detecting and resolving issues with clinical decision support: 1) statistical anomaly detection, 2) visual analytics and dashboards, 3) user feedback analysis, 4) taxonomization of failure modes/effects.

Original languageEnglish (US)
Title of host publicationMEDINFO 2017
Subtitle of host publicationPrecision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
PublisherIOS Press
Number of pages1
Volume245
ISBN (Electronic)9781614998297
DOIs
StatePublished - Jan 1 2017
Event16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China
Duration: Aug 21 2017Aug 25 2017

Publication series

NameStudies in Health Technology and Informatics
Volume245
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
CountryChina
CityHangzhou
Period8/21/178/25/17

Keywords

  • Electronic health records
  • Expert systems
  • Safety management

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Wright, A., Hickman, T. T., McEvoy, D., Aaron, S., Ai, A., Ash, J., Andersen, J. M., Ramoni, R., Hauskrecht, M., Embi, P., Schreiber, R., Sittig, D. F., & Bates, D. W. (2017). Methods for detecting malfunctions in clinical decision support systems. In MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics (Vol. 245). (Studies in Health Technology and Informatics; Vol. 245). IOS Press. https://doi.org/10.3233/978-1-61499-830-3-1385