[The study of management processes of regional projects to determining algorithms of prototyping: A review].

In the context of modern competition, project management approach can ensure higher speed and quality of achieving strategic objectives set for health care industry at minimal cost and risk. Due to the need to implement regional projects with higher speed and quality, the problems of algorithmization of project management processes becomes relevant. The complex multi-level system of project implementation in health care industry, instability of external environment and variety of needs of stakeholders requires finding algorithm to implement management processes. The purpose of the study was to find prototype model for managing processes of medical organization project, built on formalized data of functional components of project and algorithms obtained during stage-by-stage modeling of the system. In the process of development of operation of the system its elements and presentation of data were iteratively refined and in accordance with data algorithms were synchronously refined too. To build prototype model of management processes in regional medical organization for subsequent digitization it is necessary to formalize variables, to determine in accordance with size of the range of values that variable can take for subsequent effective algorithmization of management processes. The stages of project management processes were correlated with classification characteristics of models to establish stages of their construction and modeling of working model of prototype project. To establish optimal prototype of project management processes its immediate integration with project environment of medical organization is required using machine learning methods. The study results confirmed necessity to proceed search for project management tools increasing efficiency of operational activities of medical organizations implementing regional projects in health care industry.