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

Safety and Error Prevention in Health (163) Clinical Information and Decision Making (1125) Artificial Intelligence (922) Decision Support for Health Professionals (930) Artificial Intelligence (61)

Published on in Vol 9, No 4 (2022): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38411, first published .
Clinicians’ Perceptions of an Artificial Intelligence–Based Blood Utilization Calculator: Qualitative Exploratory Study

Clinicians’ Perceptions of an Artificial Intelligence–Based Blood Utilization Calculator: Qualitative Exploratory Study

Clinicians’ Perceptions of an Artificial Intelligence–Based Blood Utilization Calculator: Qualitative Exploratory Study

Authors of this article:

Avishek Choudhury 1 Author Orcid Image ;   Onur Asan 2 Author Orcid Image ;   Joshua E Medow 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

Journals

  1. van der Meijden S, de Hond A, Thoral P, Steyerberg E, Kant I, Cinà G, Arbous M. Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study. JMIR Human Factors 2023;10:e39114 View
  2. Labarta J, Dimitri P, Keiser M, Koledova E, Rivera-Romero O. Evaluating the Usefulness and Ease of Use of a Next-Generation–Connected Drug Delivery Device for Growth Hormone Therapy: Qualitative Study of Health Care Professionals’ Perceptions. JMIR Human Factors 2023;10:e46893 View
  3. Lambert S, Madi M, Sopka S, Lenes A, Stange H, Buszello C, Stephan A. An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals. npj Digital Medicine 2023;6(1) View
  4. Wosny M, Strasser L, Hastings J. Experience of Health Care Professionals Using Digital Tools in the Hospital: Qualitative Systematic Review. JMIR Human Factors 2023;10:e50357 View