Factors that influence the acceptance of Artificial Intelligence Technologies in Healthcare
DOI:
https://doi.org/10.26512/gs.v13i01.41552Keywords:
Artificial Intelligence, Clinical Decision Support Systems, Medical Informatics Applications, Systematic ReviewAbstract
Since 2010, the use of Artificial Intelligence technologies in health and promotion of quality of life presents significant progress in medicine. However, there are many barriers and resistance to its implementation, whether by hospital management, patient, healthcare professional, council and society in general. The purpose of this paper is to summarize the factors that influence the acceptance of Artificial Intelligence in the health area through a systematic review of the studies that evaluated empirically the use of this technology. For the composition of the literary framework, a systematic review of the literature was carried out on the basis of of journals Web of Science with a final sample of 50 papers. The study identified 11 factors: clinical aspects, human aspects, organizational aspects, regulatory requirements, user experience, knowledge level for technology development, knowledge level for use of technology, technological infrastructure, technological implementation, perception of potential and resistance to innovation.
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