Application of Genetic Algorithm in the Management of Medical Visits in a Home Care Service

Abstract

Home Care Service, called SAD, is a substitute or complementary job to hospitalization or outpatient care, responsible for the management and operation of the Multiprofessional Home Care Teams and Multiprofessional Support Equipment. SAD planning, that is, the distribution of visits from professionals to patients, is still a manual process. However, making the allocation of visits efficient is necessary to improve the work of professionals, the travel time between home visits, consequently, the cost of transportation, and maximizing the amount of daily visits. The proposal is to apply genetic algorithm (AG) as a solution approach to solve this problem and perform a comparative analysis by changing genetic operators.