The present study seeks to develop an optimization algorithm and provide a solution for urban redesign with the aim of optimizing the land use pattern for access to health services based on the criteria of the 15-minute city. In this regard, after evaluating the current land use pattern in Tehran's 22nd district, areas that were not covered by any health centers based on the goals of the 15-minute city were identified. Based on the results of this analysis, there is a need to establish a new health center for areas that are not yet covered by any health center based on the definitions of the 15-minute city or are covered by more than one center at the same time. Subsequently, the pattern of access to health services in Tehran's 22nd district was optimized using the Ant Colony Algorithm (ACO). The optimization included changing the spatial pattern of health centers with the least amount of displacement, without increasing health centers, and the greatest increase in the level of service coverage, which were calculated using the health service coverage index. Comparing the calculated values for the health service coverage index in the current model (0.53) and the optimal model (0.80) shows that in the optimized model, there is an increase in the level of access to services of about 51 percent compared to the current model. This increase indicates the appropriate performance of the ant colony algorithm in improving the access pattern to health services.