Human-AI Teaming in Critical Care: A Comparative Analysis of Data Scientists' and Clinicians' Perspectives on AI Augmentation and Automation.

Journal: Journal of medical Internet research

PMID: 39038285

Abstract

BACKGROUND: Artificial intelligence (AI) holds immense potential for enhancing clinical and administrative health care tasks. However, slow adoption and implementation challenges highlight the need to consider how humans can effectively collaborate with AI within broader socio-technical systems in health care.

Authors

Nadine Bienefeld

Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.
Emanuela Keller

Neuro-Intensive Care Unit, Dept. of Neurosrgery and Institute for Intensive Care Medicine, University Hospital Zurich, Switzerland.
Gudela Grote

Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.

Keywords

Artificial Intelligence Automation Critical Care Data Science Delphi Technique Female Humans Intensive Care Units Male

External Resources

View on PubMed Access via DOI PubMed (39038285)

Human-AI Teaming in Critical Care: A Comparative Analysis of Data Scientists' and Clinicians' Perspectives on AI Augmentation and Automation.

Abstract

Authors

Keywords

External Resources

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