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

• DOI: 10.2196/preprints.48476
• Publication Date: 2023-04-28T16:46:03Z
• Authors: Smrithi Vijayakumar; V Vien Lee; Qiao Ying Leong; Soo Jung Hong; Agata Blasiak; Dean Ho
• Keywords: Thematic Analysis; Best practice; Clinical Practice

<sec> <title>BACKGROUND</title> Physicians play a key role in integrating new clinical technology into care practices through user feedback and growth propositions to developers of the technology. As physicians are stakeholders involved iteration process, understanding their roles as users can provide nuanced insights workings these technologies that being explored. Therefore, physicians’ perceptions be critical toward validation, implementation, downstream adoption. Given increasing prevalence decision support systems (CDSSs), there remains need gain an in-depth expectations implementation. This paper explores CURATE.AI, novel artificial intelligence (AI)–based stage personalized dosing CDSSs, practice. </sec> <title>OBJECTIVE</title> study aims understand perspectives CURATE.AI for work gather on considerations implementation AI-based CDSS tools. <title>METHODS</title> A total 12 participants completed semistructured interviews examining knowledge, experience, attitudes, risks, future course combination therapy platform, CURATE.AI. Interviews were audio recorded, transcribed verbatim, coded manually. The data thematically analyzed. <title>RESULTS</title> Overall, 3 broad themes 9 subthemes identified thematic analysis. covered perceived significant across various stages development, including trial, mass <title>CONCLUSIONS</title> laid out ways interpreted CDSS, research pointed during different exploration layered with relevant researchers.