Ciência de dados no apoio a gestão em uma operadora de saúde

Abstract

The importance of information for organizations is widely accepted, being one of the resources whose management and its use are directly related to achievement of strategic objectives. The supplementary health system is inserted in a highly regulated market and subject to major challenges, associated with the increase in health costs and great competitiveness. Data Science emerges in this context, as a tool capable of managing a growing volume of information, essential to support management. This study aims to analyze how Data Science can contribute to support management in a supplementary health care company. It justifies the importance of the subject and its impact on the population health care, in addition to the still little explored literature on the use of Data Science in health care companies. For this, a multiple case study is used, with a descriptive approach, based on data collected from the eighth largest Health Care Company of the Unimed System in Brazil, through the analysis of 4 strategic projects linked to Data Science areaof the operator in question, as well as analyzing data analytic maturity. The research evidenced the robustness of data analysis tools used in the organization, a good process automation, and an intermediate level of analytical maturity, which means the operationalization of the analysis in a predictive way. It was also evident that Data Science provided the improvement of general results linked to cost reduction, process improvement and higher quality in customer service, providing a strategic differential and greater business viability in the short and medium term.