Clinical Decision Support Systems and Trust in Automation: Case of a Clinical Reminder for Titration of Beta Blockers-Reference-Cited by-同舟云学术

Clinical Decision Support Systems and Trust in Automation: Case of a Clinical Reminder for Titration of Beta Blockers

Published:2023-09 Issue:1 Volume:67 Page:1380-1385
ISSN:2169-5067
Container-title:Proceedings of the Human Factors and Ergonomics Society Annual Meeting
language:en
Short-container-title:Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Author:

MW Smith¹^ORCID,M Kalsy²³⁴,CR Weir⁵,CR Brown⁶,SS Virani⁷⁸,JH Garvin⁵⁹¹⁰⁴

Affiliation:

1. Mile Two, Dayton, OH, USA

2. Louis Stokes Cleveland VA Medical Center

3. Case Western Reserve University, Frances Payne Bolton School of Nursing, Cleveland, OH, USA

4. Informatics, Decision-Enhancement, and Analytic Sciences Center (IDEAS 2.0), VA Salt Lake City Health Care System, Salt Lake City, UT, USA

5. Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA

6. ReadySet, Oakland CA, USA

7. Department of Medicine, Aga Khan University, Karachi, Pakistan

8. Texas Heart institute, Houston, TX, USA

9. VA Center for Health Information and Communication, Richard L. Roudebush VAMC, Indianapolis, IN, USA

10. Division of Health Information Management and Systems, School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, USA

Abstract

Trust in automation depends on more than just the automation itself, but the larger context in which the automation and the human operator are collaborating. This study takes a naturalistic approach to explore providers' trust in a Clinical Decision Support System. Primary Care Providers were shown simulated medical records and a prototype Clinical Reminder indicating that the patient should be titrated with recommended Beta Blockers to address the patient's Heart Failure with reduced ejection fraction. Analysis of responses showed three main themes: Concerns about the medical documentation used to generate the recommendation; Complexity of the patient condition and care delivery context (and how such factors limit possible courses of action); and Concerns about the Clinical Reminder and clinical guideline it is instantiating. These results align with the macrocognitive model of trust and reliance based on sensemaking and flexecution.

Publisher

SAGE Publications

Subject

General Medicine,General Chemistry

Link

http://journals.sagepub.com/doi/pdf/10.1177/21695067231192614

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