Accepting artificial intelligence: barriers and facilitators influencing healthcare professionals' acceptance of AI in the hospital setting npjDigitalMed RWTH FraunhoferIAIS AI artificialintelligence healthcare health
By Bhavana KunkalikarJun 13 2023Reviewed by Danielle Ellis, B.Sc. In a recent study published in the Npj Digital Medicine, researchers investigated the factors that hinder or promote healthcare professionals' acceptance of artificial intelligence in hospitals.
The reviewed articles' findings are presented using the Unified Theory of Acceptance and Use of Technology as a framework. This theory aimed to elucidate a user's motivation to utilize information technology systems. The approach relies on different IT acceptance models, including the Technology Acceptance Model . The UTAUT model comprises four primary components, namely effort expectancy, performance expectancy, social influences, and facilitating conditions.
Results The review analyzed a total of 42 articles. Most studies were conducted in Europe, followed by North America and Asia. Additional research was carried out in Africa and Australia. One of the eligible studies was conducted in 25 countries worldwide. The studies conducted included qualitative, quantitative, and mixed-method approaches and involved hospital-based healthcare professionals as participants. The eligible studies also utilized interviews and surveys as means of data collection.
Nearly 15% of doctors and nurses who participated in a study expressed their disbelief in the ability of a machine-learning system to detect early-stage delirium. Furthermore, about half of the physicians involved in a study on using AI in ophthalmology expressed concerns about the reliability of the system, citing difficulties in ensuring its quality.
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