This paper is in the following e-collection/theme issue:

Theme Issue: AI and Human Factors—Towards Successful Application of AI in Health Care (15) Focus Groups and Qualitative Research for Human Factors Research (1056) Artificial Intelligence (1769) Clinical Information and Decision Making (1684) Decision Support for Health Professionals (1357)

Published on in Vol 10 (2023)

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48476, first published .
Physicians’ Perspectives on AI in Clinical Decision Support Systems: Interview Study of the CURATE.AI Personalized Dose Optimization Platform

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

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

Authors of this article:

Smrithi Vijayakumar1 Author Orcid Image ;   V Vien Lee1 Author Orcid Image ;   Qiao Ying Leong1 Author Orcid Image ;   Soo Jung Hong2 Author Orcid Image ;   Agata Blasiak1, 3, 4, 5 Author Orcid Image ;   Dean Ho1, 3, 4, 5 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

  1. Wang P, Leong Q, Lau N, Ng W, Kwek S, Tan L, Song S, You K, Chong L, Zhuang I, Ong Y, Foo N, Tadeo X, Kumar K, Vijayakumar S, Sapanel Y, Raczkowska M, Remus A, Blasiak A, Ho D. N-of-1 medicine. Singapore Medical Journal 2024;65(3):167 View
  2. Ouanes K, Farhah N. Effectiveness of Artificial Intelligence (AI) in Clinical Decision Support Systems and Care Delivery. Journal of Medical Systems 2024;48(1) View
  3. Blasiak A, Tan L, Chong L, Tadeo X, Truong A, Senthil Kumar K, Sapanel Y, Poon M, Sundar R, de Mel S, Ho D. Personalized dose selection for the first Waldenström macroglobulinemia patient on the PRECISE CURATE.AI trial. npj Digital Medicine 2024;7(1) View
  4. Hassan M, Kushniruk A, Borycki E. Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review. JMIR Human Factors 2024;11:e48633 View
  5. Haga S. Artificial intelligence, medications, pharmacogenomics, and ethics. Pharmacogenomics 2024;25(14-15):611 View
  6. Butruille J, Cirnat N, Alaoui M, Saracco J, Cousein E, Chaniaud N. Pharmaceutical Analysis of Inpatient Prescriptions: Systematic Observation of Hospital Pharmacists’ Practices in the Early User-Centered Design Phase. JMIR Human Factors 2025;12:e65959 View
  7. Goldberg D, Soylu T, Hoffman C, Kishton R, Cronholm P. Clinicians’ perspectives on the adoption and implementation of EMR-integrated clinical decision support tools in primary care. DIGITAL HEALTH 2025;11 View
  8. Karuppan Perumal M, Rajan Renuka R, Kumar Subbiah S, Manickam Natarajan P. Artificial intelligence-driven clinical decision support systems for early detection and precision therapy in oral cancer: a mini review. Frontiers in Oral Health 2025;6 View
  9. Henzler D, Schmidt S, Koçar A, Herdegen S, Lindinger G, Maris M, Bak M, Willems D, Tan H, Lauerer M, Nagel E, Hindricks G, Dagres N, Konopka M. Healthcare professionals’ perspectives on artificial intelligence in patient care: a systematic review of hindering and facilitating factors on different levels. BMC Health Services Research 2025;25(1) View