An approach to the implementation of medical decision support systems based on the principles of a serviceoriented architecture using digital medical ecosystem services.

Despite the potential effectiveness demonstrated in individual medical organizations, medical decision support systems (DSSMS) have not been widely used in Russia. Based on the provisions of the National Strategy for the Development of Artificial Intelligence for the period up to 2030, approved by the Decree of the President of the Russian Federation, the article formulates the goal of the national plan for the development of artificial intelligence in medicine, identifies the key factors necessary to achieve this goal, as well as tasks that need to be solved to ensure the creation and widespread implementation of effective artificial intelligence. It is proposed to use the principles of service-oriented architecture (SOA) for the implementation of DSS in the digital medical ecosystem, which should contribute to achieving the stated goal. The article describes the key features and benefits of using SOA in the medical ecosystem. A model for the deployment of SPD in the medical ecosystem based on the principles of SOA with justification of key architectural solutions is described. As an example, the architecture of the DSS is described for assessing the patient’s health status at the outpatient stage from the point of view of services and their management. The possibilities and disadvantages of the proposed model for the implementation of the DSS are discussed.