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Accepted for/Published in: JMIR Human Factors

Date Submitted: Apr 29, 2022
Date Accepted: Nov 27, 2022
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study

van der Meijden S, de Hond AAH, Thoral PJ, Steyerberg EW, Kant IM, Cinà G, Arbous MS

Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study

JMIR Hum Factors 2023;10:e39114

DOI: 10.2196/39114

PMID: 36602843

PMCID: 9853335

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

ICU Physicians Perspectives on AI Based Clinical Decision Support Tools: a Pre-Implementation Survey Study

  • Siri van der Meijden; 
  • Anna A. H. de Hond; 
  • Patrick J. Thoral; 
  • Ewout W. Steyerberg; 
  • Ilse M.J. Kant; 
  • Giovanni Cinà; 
  • Mendi Sesmu Arbous

ABSTRACT

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 before implementing a discharge AI-CDS tool predicting readmission/mortality risk after ICU discharge.

Methods:

We conducted a survey among physicians involved in decision making on discharge of patients at two Dutch academic ICUs between July-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 (69% of 93 contacted) were familiar with AI (62/64, 97%) and had positive expectations towards AI with 55/64 (86%) believing that AI could support them in their work as a physician. Clinicians disagreed on whether the decision to discharge a patient was complex, (23/64, 36% agreed and 22/64, 34% disagreed) but nonetheless most (59/64, 92%) agreed that a discharge AI-CDS tool could be of value. Significant differences were observed between physicians from the two academic sites that may be related to the different levels of involvement in the development of a discharge AI-CDS tool.

Conclusions:

ICU physicians show a favorable attitude towards the integration of AI-CDS tools in the ICU setting in general and specifically for a tool that predicts a patient's risk of readmission/mortality within seven days after discharge.


 Citation

Please cite as:

van der Meijden S, de Hond AAH, Thoral PJ, Steyerberg EW, Kant IM, Cinà G, Arbous MS

Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study

JMIR Hum Factors 2023;10:e39114

DOI: 10.2196/39114

PMID: 36602843

PMCID: 9853335

Per the author's request the PDF is not available.