Expectations of Anesthesiology and Intensive Care Professionals Toward Artificial Intelligence: Observational Study
Kloka JA, Holtmann SC, Nürenberg-Goloub E, Piekarski F, Zacharowski K, Friedrichson B
This Europe-wide observational study examines the perceptions of anesthesiology and intensive care professionals towards artificial intelligence (AI) in healthcare. With responses from 701 participants, it reveals that those with prior AI experience perceive greater benefits, particularly in early warning systems. However, concerns about technical problems, handling difficulties, legal liability, and data protection are prevalent. We conclude that the successful integration of AI in healthcare requires not only technological advancement but multidisciplinary stakeholder collaboration on comprehensive education, legal frameworks, and AI ethics.
Figure 1. Potential benefits of AI. (A) Distribution of the votes for rating potential benefits of AI applications by all included participants. The numbers indicate the total number of votes. Potential applications are sorted by the descending total number of votes agreeing or strongly agreeing with the expected benefit. (B) Distribution of “strongly agree” votes among the potential benefits of AI in health care (N=1407). An AI-based early warning system is expected to be most useful in European health care. Among all benefits, the participants strongly agreed that an AI-based early warning system would be the most beneficial. Objective decisions made by AI are least expected to improve work in intensive care units. AI: artificial intelligence; IC: intensive care.
Figure 2. Potential difficulties of AI. (A) Distribution of the votes for rating potential disadvantages of AI applications by all included participants. The numbers indicate the total number of votes. Potential risks are sorted by the descending total number of votes agreeing or strongly agreeing with the expected disadvantage. (B) Distribution of strongly agreeing votes among the potential disadvantages of AI in health care (N=1023). Among all disadvantages, most participants strongly agreed to expect technical problems with AI-based systems. In contrast, the participants do not expect that individual clinical assessment will lose trust in intensive care units due to an increased presence of AI technology. AI: artificial intelligence.
Kloka JA, Holtmann SC, Nürenberg-Goloub E, Piekarski F, Zacharowski K, Friedrichson B. Expectations of Anesthesiology and Intensive Care Professionals Toward Artificial Intelligence: Observational Study. JMIR Form Res. 2023 Jun 12;7:e43896. DOI: 10.2196/43896. PMID: 37307038; PMCID: PMC10337415.
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