The Usability-Error Ontology

Peter L. Elkin, Marie-Catherine Beuscart-zephir, Sylvia Pelayo, Vimla Patel, Christian Nøhr

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearchpeer-review

4 Citations (Scopus)

Abstract

Clinical Systems have become standard partners with clinicians in the care of patients. As these systems become integral parts of the clinical workflow, they have the potential to help improve patient outcomes, however they have also in some cases have led to adverse events and has resulted in patients coming to harm. Often the root cause analysis of these adverse events can be traced back to Usability Errors in the Health Information Technology (HIT) or its interaction with users. Interoperability of the documentation of HIT related Usability Errors in a consistent fashion can improve our ability to do systematic reviews and meta-analyses. In an effort to support improved and more interoperable data capture regarding Usability Errors, we have created the Usability Error Ontology (UEO) as a classification method for representing knowledge regarding Usability Errors. We expect the UEO will grow over time to support an increasing number of HIT system types. In this manuscript, we present this Ontology of Usability Error Types and specifically address Computerized Physician Order Entry (CPOE), Electronic Health Records (EHR) and Revenue Cycle HIT systems.
Original languageEnglish
Title of host publicationContext Sensitive Health Informatics : Human and Sociotechnical Approaches
EditorsMarie-Catherine Beuscart-Zéphir, Monique Jaspers, Craig Kuziemsky, Christian Nøhr, Jos Aarts
PublisherIOS Press
Publication date2013
Pages91-96
ISBN (Print)978-1-61499-292-9
ISBN (Electronic)978-1-61499-293-6
DOIs
Publication statusPublished - 2013
SeriesStudies in Health Technology and Informatics
Volume194
ISSN0926-9630

Cite this

Elkin, P. L., Beuscart-zephir, M-C., Pelayo, S., Patel, V., & Nøhr, C. (2013). The Usability-Error Ontology. In M-C. Beuscart-Zéphir, M. Jaspers, C. Kuziemsky, C. Nøhr, & J. Aarts (Eds.), Context Sensitive Health Informatics: Human and Sociotechnical Approaches (pp. 91-96). IOS Press. Studies in Health Technology and Informatics, Vol.. 194 https://doi.org/10.3233/978-1-61499-293-6-91
Elkin, Peter L. ; Beuscart-zephir, Marie-Catherine ; Pelayo, Sylvia ; Patel, Vimla ; Nøhr, Christian. / The Usability-Error Ontology. Context Sensitive Health Informatics: Human and Sociotechnical Approaches. editor / Marie-Catherine Beuscart-Zéphir ; Monique Jaspers ; Craig Kuziemsky ; Christian Nøhr ; Jos Aarts. IOS Press, 2013. pp. 91-96 (Studies in Health Technology and Informatics, Vol. 194).
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Elkin, PL, Beuscart-zephir, M-C, Pelayo, S, Patel, V & Nøhr, C 2013, The Usability-Error Ontology. in M-C Beuscart-Zéphir, M Jaspers, C Kuziemsky, C Nøhr & J Aarts (eds), Context Sensitive Health Informatics: Human and Sociotechnical Approaches. IOS Press, Studies in Health Technology and Informatics, vol. 194, pp. 91-96. https://doi.org/10.3233/978-1-61499-293-6-91

The Usability-Error Ontology. / Elkin, Peter L. ; Beuscart-zephir, Marie-Catherine ; Pelayo, Sylvia ; Patel, Vimla ; Nøhr, Christian.

Context Sensitive Health Informatics: Human and Sociotechnical Approaches. ed. / Marie-Catherine Beuscart-Zéphir; Monique Jaspers; Craig Kuziemsky; Christian Nøhr; Jos Aarts. IOS Press, 2013. p. 91-96.

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearchpeer-review

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AB - Clinical Systems have become standard partners with clinicians in the care of patients. As these systems become integral parts of the clinical workflow, they have the potential to help improve patient outcomes, however they have also in some cases have led to adverse events and has resulted in patients coming to harm. Often the root cause analysis of these adverse events can be traced back to Usability Errors in the Health Information Technology (HIT) or its interaction with users. Interoperability of the documentation of HIT related Usability Errors in a consistent fashion can improve our ability to do systematic reviews and meta-analyses. In an effort to support improved and more interoperable data capture regarding Usability Errors, we have created the Usability Error Ontology (UEO) as a classification method for representing knowledge regarding Usability Errors. We expect the UEO will grow over time to support an increasing number of HIT system types. In this manuscript, we present this Ontology of Usability Error Types and specifically address Computerized Physician Order Entry (CPOE), Electronic Health Records (EHR) and Revenue Cycle HIT systems.

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Elkin PL, Beuscart-zephir M-C, Pelayo S, Patel V, Nøhr C. The Usability-Error Ontology. In Beuscart-Zéphir M-C, Jaspers M, Kuziemsky C, Nøhr C, Aarts J, editors, Context Sensitive Health Informatics: Human and Sociotechnical Approaches. IOS Press. 2013. p. 91-96. (Studies in Health Technology and Informatics, Vol. 194). https://doi.org/10.3233/978-1-61499-293-6-91