Document Type : Survey

Author

Ph.D, Department of Public Administration, Semnan University, Semnan, Iran.

Abstract

Policy makers need accurate and timely information to make informed decisions in complex environments such as health systems. When health systems are faced with complex, multi-dimensional and emerging issues, the use of traditional policy-making tools creates significant limitations. The purpose of this research is to identify the important and influential dimensions in the policy making of using artificial intelligence in Iran's health system. The current research was conducted with a qualitative approach and thematic analysis method. While using library studies, supplementary research data were collected through semi-structured interviews with 16 experts using snowball sampling method and up to theoretical data saturation. The three-way method was used to check the research tools. Based on the responses of the participants, in the first stage, 328 primary identifiers were extracted and in the second stage, 47 sub-themes were extracted. In the third stage, five main themes including: policy requirements, optimization of implementation, growth and development, applications, and finally the obstacles and challenges of using artificial intelligence in the health system of the country were counted. The analysis of the performed data has made it possible to identify the advantages and disadvantages of using artificial intelligence in the health system, but the main challenge in the use and exploitation of artificial intelligence in the health system is not the technology itself, which is present in the world around us. It is growing, evolving and discovering new areas of its use, but it is within the legal framework that clearly lacks proper regulations and considering some political, moral, social and judicial developments. Also, in order to prevent conflict and maintain the growth and development approach in its application, inter-sectoral and extra-sectoral cooperation is of double importance.

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