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Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence-Based Tools in Critical Care: Web-Based Survey Study.

Eric MlodzinskiGabriel WardiClare ViglioneShamim NematiLaura E Crotty AlexanderAtul Malhotra
Published in: JMIR perioperative medicine (2023)
These data suggest that providers and nonproviders have positive perceptions of ML-based tools, and that a tool to predict the need for intubation would be of interest to critical care providers. There were many shared concerns about ML/AI in health care elucidated by the surveys. These results provide a baseline evaluation of implementation barriers and determinants of ML/AI-based tools that will be important in their optimal implementation and adoption in the critical care setting and health care in general.
Keyphrases
  • artificial intelligence
  • healthcare
  • machine learning
  • big data
  • primary care
  • deep learning
  • electronic health record
  • quality improvement
  • cardiac arrest