Identification of Barriers to AI Implementation in Medical Information Systems

Based on a literature review between 2014 and 2022, barriers to implementing artificial intelligence in medical information systems were identified. It was noted that these barriers are independent of the sub-discipline of medicine (e.g., oncology, ophthalmology, dermatology) and are recurrent in nature. The most important ones were described and grouped. The following four subgroups of barriers were identified: organizational and legal, technical, economic, and human factor-related barriers. Awareness and consideration of these barriers to implementing AI in health systems can help eliminate (or minimize) the risk of project failure. The study can be useful both for decision-makers who want to implement an AI-based medical information system (e.g., in a hospital), and for researchers and managers responsible for organizing medical facilities.