首页|Free University Bolzano Details Findings in Artificial Intelligence (Artificial Intelligence In Healthcare Institutions: a Systematic Literature Review On Influencing Factors)
Free University Bolzano Details Findings in Artificial Intelligence (Artificial Intelligence In Healthcare Institutions: a Systematic Literature Review On Influencing Factors)
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NETL
NSTL
Elsevier
Current study results on Artificial Intelligence have been published. According to news reporting originating in Bolzano, Italy, by NewsRx journalists, research stated, "The purpose of this review is integrating and contextualizing relevant literature on the factors influencing the adoption of AI in the healthcare industry into a comprehensive framework. Health systems are considered fundamental to creating societal value." The news reporters obtained a quote from the research from Free University Bolzano, "However, global health systems are challenged by the increasing number of patients due to population aging and the growing prevalence of chronic diseases and cancer. Meanwhile, the United Nations calls for equal access to healthcare, tackling costs, and addressing resource constraints to foster the sustainable development of societies. In this context, artificial intelligence (AI) is gaining attention as it constitutes a promising technology to address these burgeoning challenges. Despite opportunities, the literature specifically on the adoption of AI in the healthcare industry is fragmented across various research fields, lacking a comprehensive overview. It lacks theoretically grounded research integrating, for example, the factors that influence the adoption of AI in healthcare institutions.Derived from a multi-disciplinary systematic literature review, building on 130 studies, we propose the Adoption of AI in the Healthcare Industry Model. This model encompasses five dimensions influencing the adoption of AI in the healthcare industry and contextualizes them. We propose that macro-economic, regulatory, and technological readiness serve as external antecedents whereas organizational and individual readiness constitute internal antecedents influencing adoption of AI in healthcare institutions.Our review has implications for research on technology acceptance related to AI in healthcare."
BolzanoItalyEuropeArtificial IntelligenceEmerging TechnologiesMachine LearningTechnologyFree University Bolzano
NETL
NSTL
Elsevier
