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Clinicians' Perceptions of an Artificial Intelligence-Based Blood Utilization Calculator: Qualitative Exploratory
Avishek Choudhury1, Onur Asan2, Joshua E Medow3
1Industrial and Management Systems Engineering, Benjamin M Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, United States.
JMIR Human Factors
|October 31, 2022
Summary
Clinicians found the AI blood utilization calculator (BUC) useful but underused due to usability issues. Effective AI integration requires user-centered design, training, and clear functionality for optimal adoption in healthcare.
Area of Science:
- Healthcare Informatics
- Artificial Intelligence in Medicine
- Clinical Decision Support Systems
Background:
- Healthcare systems face challenges with blood transfusion overuse, as noted by the US Food and Drug Administration.
- An artificial intelligence (AI)-based blood utilization calculator (BUC) was developed to mitigate this overuse.
- Despite its potential, the BUC's adoption in clinical settings remains limited.
Purpose of the Study:
- To explore clinician perceptions of the AI-based BUC.
- To identify factors influencing the underutilization of the BUC.
Main Methods:
- Qualitative study involving interviews with 10 clinicians who used the BUC.
- Interviews were conducted via a web platform and recorded.
- Inductive-deductive thematic analysis was applied to transcribed interview data.
Main Results:
- Two primary themes emerged: workload/usability and clinical decision-making.
- Clinicians recognized the BUC's ease of use and utility for general inpatient blood transfusion decisions.
- Inconsistent automation across blood work processes led to confusion for some users.
Conclusions:
- Analytical efficacy alone is insufficient for technology adoption; system design and user perception are critical.
- Successful AI integration necessitates multidisciplinary involvement, comprehensive training, and clear system purpose.
- Self-explanatory AI system design and appropriate application to target populations are essential for user acceptance and effective use.
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