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Systematic Heuristic Evaluation of Computerized Consultation Order Templates: Clinicians’ and Human Factors Engineers’ Perspectives

  • Systems-Level Quality Improvement
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Abstract

We assessed the usability of consultation order templates and identified problems to prioritize in design efforts for improving referral communication. With a sample of 26 consultation order templates, three evaluators performed a usability heuristic evaluation. The evaluation used 14 domain-independent heuristics and the following three supplemental references: 1 new domain-specific heuristic, 6 usability goals, and coded clinicians’ statements regarding ease of use for 10 sampled templates. Evaluators found 201 violations, a mean of 7.7 violations per template. Minor violations outnumbered major violations almost twofold, 115 (57%) to 62 (31%). Approximately 68% of violations were linked to 5 heuristics: aesthetic and minimalist design (17%), error prevention (16%), consistency and standards (14%), recognition rather than recall (11%), and meet referrers’ information needs (10%). Severe violations were attributed mostly to meet referrers’ information needs and recognition rather than recall. Recorded violations yielded potential negative consequences for efficiency, effectiveness, safety, learnability, and utility. Evaluators and clinicians demonstrated 80% agreement in usability assessment. Based on frequency and severity of usability heuristic violations, the consultation order templates reviewed may impede clinical efficiency and risk patient safety. Results support the following design considerations: communicate consultants’ requirements, facilitate information seeking, and support communication. While the most frequent heuristic violations involved interaction design and presentation, the most severe violations lacked information desired by referring clinicians. Violations related to templates’ inability to support referring clinicians’ information needs had the greatest potential negative impact on efficiency and safety usability goals. Heuristics should be prioritized in future design efforts.

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Acknowledgments

We are thankful to the clinicians, research assistants, and clinical application coordinators at the three VA sites that assisted us in data collection. In addition, we are grateful to Jason J. Saleem, PhD for writing the grant proposal and generating study ideas and Laura G. Militello for piloting the methods.

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Authors and Affiliations

Authors

Contributions

A.W. Savoy and H. Patel designed the heuristic evaluation, collected and analyzed data, and drafted the manuscript. M.E. Flanagan coauthored the funded grant proposal and collected and analyzed data. M. Weiner and A.L. Russ coauthored the funded grant proposal, and A.L. Russ proposed the manuscript on heuristic evaluation. All authors interpreted the findings, made critical revisions, and approved the published manuscript; all authors agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Corresponding author

Correspondence to April Savoy.

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Funding

This study was supported by VA HSR&D Grant IIR 12–102 (Principal Investigator: Dr. M. Weiner) and the Center for Health Information and Communication, US Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service, CIN 13–416, Richard L. Roudebush VA Medical Center, Indianapolis, Indiana. Dr. Russ was supported by a VA HSR&D Career Development Award, #11–214. M. Weiner is Chief of Health Services Research and Development at the Richard L. Roudebush VA Medical Center in Indianapolis, Indiana. The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs.

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The authors have no competing interests to declare.

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This article contains no studies with human participants or animals.

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This article is part of the Topical Collection on Systems-Level Quality Improvement

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Savoy, A., Patel, H., Flanagan, M.E. et al. Systematic Heuristic Evaluation of Computerized Consultation Order Templates: Clinicians’ and Human Factors Engineers’ Perspectives. J Med Syst 41, 129 (2017). https://doi.org/10.1007/s10916-017-0775-7

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