A Model for Optimizing the Portfolio of Hospital District Development Projects Based on a Genetic Algorithm

The article analyzes the healthcare sector's project management tools. It has been found that traditional optimization methods have limited effectiveness in solving complex multicriteria problems that are typical for managing a portfolio of projects to develop hospital districts. The expediency of developing a project portfolio optimization model based on a genetic algorithm is substantiated. The proposed model makes it possible to consider the main criteria, constraints, and goals underlying the achievement of maximum value. Based on the proposed optimization model, a decision support system (DSS) was developed. It allows us to effectively determine a rational scenario for the implementation of a portfolio of hospital district development projects. This system includes tools for analyzing, evaluating, and optimizing projects, taking into account various components of the project environment. Implementation of the SPDP can significantly improve the efficiency of management decision-making to optimize the scenario for the implementation of the hospital district development project portfolio, ensuring maximum value for stakeholders and sustainable development of the region's medical infrastructure.