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Accepted for/Published in: JMIR Human Factors

Date Submitted: Apr 25, 2023
Date Accepted: Sep 10, 2023

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

Physicians’ Perspectives on AI in Clinical Decision Support Systems: Interview Study of the CURATE.AI Personalized Dose Optimization Platform

Vijayakumar S, Lee VV, Leong QY, Hong SJ, Blasiak A, Ho D

Physicians’ Perspectives on AI in Clinical Decision Support Systems: Interview Study of the CURATE.AI Personalized Dose Optimization Platform

JMIR Hum Factors 2023;10:e48476

DOI: 10.2196/48476

PMID: 37902825

PMCID: 10644191

Doctor perceptions towards AI in CDSS: A qualitative study of the CURATE.AI a personalised dose optimization platform

  • Smrithi Vijayakumar; 
  • V Vien Lee; 
  • Qiao Ying Leong; 
  • Soo Jung Hong; 
  • Agata Blasiak; 
  • Dean Ho

ABSTRACT

Background:

Doctors play a key role in integrating new clinical technology into care practices through their user feedback and growth propositions to developers of the technology. As doctors are stakeholders involved through the technology iteration process, understanding their roles as users can provide nuanced insights into the workings of these technologies that are currently being explored. Understanding doctor perceptions therefore can be critical towards clinical validation, implementation, and downstream adoption. Given the increasing prevalence of clinical decision support systems (CDSS), there remains a need to gain in-depth understandings of doctor perceptions and expectations towards their downstream implementation. As such, this article explores doctor perceptions of integrating CURATE.AI, a novel AI-based and clinical-stage personalised dosing CDSS, into clinical practice.

Objective:

Understanding doctors perceptions of adopting a novel clinical decision support system

Methods:

13 participants completed a 60-minute semi structured interview examining their knowledge, experience, attitudes, risks and future course of the personalized combination therapy dosing platform, CURATE. AI. Interviews were audio recorded, transcribed verbatim and coded manually. Data was thematically analysed.

Results:

Three broad themes and 9 sub-themes were identified using thematic analysis. The themes covered considerations doctors perceived as significant across various stages of new technology development including trial, clinical implementation and mass adoption.

Conclusions:

The study laid out the various ways doctors interpreted an AI-based personalised dosing CDSS, CURATE.AI, for their clinical practice. The research pointed out that doctors’ expectations during the different stages of technology exploration can be nuanced and layered with expectations of implementation relevant for technology developers and researchers.


 Citation

Please cite as:

Vijayakumar S, Lee VV, Leong QY, Hong SJ, Blasiak A, Ho D

Physicians’ Perspectives on AI in Clinical Decision Support Systems: Interview Study of the CURATE.AI Personalized Dose Optimization Platform

JMIR Hum Factors 2023;10:e48476

DOI: 10.2196/48476

PMID: 37902825

PMCID: 10644191

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