Key result
Among 64 surveyed ICU physicians, 86% believed artificial intelligence could support their work and 92% agreed that an AI-based discharge decision support tool could be of value.
Why the study?
There is a gap between the development and implementation of AI-CDS tools in the ICU, motivating an investigation into physicians' perspectives and decision-making behavior prior to tool implementation.
Cross-Sectional (n=64)
Yes
ICU physicians generally have a positive attitude toward integrating AI-based clinical decision support tools for predicting readmission and mortality after ICU discharge.
Positive attitudes support AI discharge tool development; hypothesis-generating for adoption and outcome trials.
BACKGROUND: Artificial intelligence-based clinical decision support (AI-CDS) tools have great potential to benefit intensive care unit (ICU) patients and physicians. There is a gap between the development and implementation of these tools. OBJECTIVE: We aimed to investigate physicians' perspectives and their current decision-making behavior before implementing a discharge AI-CDS tool for predicting readmission and mortality risk after ICU discharge. METHODS: We conducted a survey of physicians involved in decision-making on discharge of patients at two Dutch academic ICUs between July and November 2021. Questions were divided into four domains: (1) physicians' current decision-making behavior with respect to discharging ICU patients, (2) perspectives on the use of AI-CDS tools in general, (3) willingness to incorporate a discharge AI-CDS tool into daily clinical practice, and (4) preferences for using a discharge AI-CDS tool in daily workflows. RESULTS: Most of the 64 respondents (of 93 contacted, 69%) were familiar with AI (62/64, 97%) and had positive expectations of AI, with 55 of 64 (86%) believing that AI could support them in their work as a physician. The respondents disagreed on whether the decision to discharge a patient was complex (23/64, 36% agreed and 22/64, 34% disagreed); nonetheless, most (59/64, 92%) agreed that a discharge AI-CDS tool could be of value. Significant differences were observed between physicians from the 2 academic sites, which may be related to different levels of involvement in the development of the discharge AI-CDS tool. CONCLUSIONS: ICU physicians showed a favorable attitude toward the integration of AI-CDS tools into the ICU setting in general, and in particular toward a tool to predict a patient's risk of readmission and mortality within 7 days after discharge. The findings of this questionnaire will be used to improve the implementation process and training of end users.
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Meijden et al. (2022) conducted a cross-sectional in ICU physicians' perspectives on AI-CDS tools (n=64). Preimplementation survey on AI-CDS tools was evaluated on Physicians' perspectives on the use of AI-CDS tools and willingness to incorporate them. Among 64 surveyed ICU physicians, 86% believed artificial intelligence could support their work and 92% agreed that an AI-based discharge decision support tool could be of value.
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