An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals

Sophie Isabelle Lambert, Murielle Madi, Saša Sopka, Andrea Lenes, Hendrik Stange, Claus-Peter Buszello & Astrid Stephan

Overview of Studies on Healthcare Professionals' Acceptance of Artificial Intelligence Systems in Hospital Settings

The article reviewed studies published between 2010 and June 2022, assessing healthcare professionals' acceptance of artificial intelligence (AI) systems in hospital settings. Using search terms to identify AI systems and healthcare professionals' acceptance, the authors searched four databases: PubMed, CINAHL, ProQuest, and the Bielefeld Academic Search Engine. They critically assessed 42 studies with the Mixed Methods Appraisal Tool (MMAT) and found a mix of facilitators and limiting factors regarding AI systems acceptance. Factors such as performance expectancy, effort expectancy, social influence, and anxiety aligned with the Unified Theory of Acceptance and Use of Technology (UTAUT). Junior physicians were more likely to follow system recommendations than senior physicians. However, unfamiliarity, negative perceptions of reliability and ease of use, were reported by healthcare professionals as limiting factors. Most studies focused on computerized decision support systems (CDSSs), and the authors suggest assessing different AI-based systems in future research. The study emphasizes the need to consider factors influencing healthcare professionals' acceptance and develop interventions like training for better acceptance, and investigating the relationship between users' familiarity with systems and effort expectancy, and the UTAUT model's validity in healthcare settings.

Attitudes of Healthcare Practitioners Towards Computerized Decision Support Systems (CDSS) in Various Healthcare Settings

The article provides a comprehensive overview of studies on healthcare practitioners' attitudes towards CDSS conducted between 2015-2021 in various healthcare settings. Most studies report positive attitudes, with CDSS perceived as a useful tool that improves patient outcomes, care quality, and workflow management. Acceptance is influenced by factors like ease of use, compatibility, and technical support accessibility. However, some studies report hesitation or negativity due to perceived limitations in recommendations and resistance to change. The article highlights the importance of understanding healthcare practitioners' perceptions and attitudes for improving CDSS design and implementation and calls for further studies in diverse healthcare environments. In conclusion, the article offers insights into CDSS's perception and factors influencing its adoption, noting that positive attitudes generally outweigh negative ones and further research is needed to optimize CDSS design and implementation in healthcare settings.

Link to Article: An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals | npj Digital Medicine (nature.com)

This article was summarized by an AI tool that uses natural language processing. The tool is not perfect and may make mistakes or produce inaccurate or irrelevant information, but is reviewed by the post’s author prior to publishing. If you want to learn more about the article, please refer to the original source that is cited at the end of the article.