Evaluation of critical success factors affecting the use of artificial intelligence in health services with analytic hierarchy process

OpenAlex İngilizce

Objectives: The aim of this research is to identify the critical factors that affect the success of the use of artificial intelligence (AI) in healthcare and to rank these factors in a hierarchical structure. Materials and methods: Analytic hierarchy process method, one of the multi-criteria decision-making methods, was used. Results: As a result of the opinions of the 10 experts included in the study, the factor of hospital organizational structure and health IT infrastructure received the highest weight ratio with the code "BF2" (0.1581), while the factor of security, privacy and ethical issues was evaluated by the experts with the code BF5 (0.1491) as the factor with the second highest importance level. Within the scope of the study, the factor with the lowest level of importance was revealed as the factor of high cost of AI with the code BF6 (0.0614). Conclusion: As a result, when the critical success factors affecting the use of AI in healthcare services are prioritized by experts, it is revealed that the importance of IT infrastructure in healthcare services, hesitations on sensitive issues such as ethics, security and privacy of personal data are critical success factors affecting the use of AI in healthcare services. However, it was also evaluated by the experts in the study that the cost of AI does not affect its use in healthcare services as much as other factors.