Objective: To identify geographically the beneficiaries categorized as prone to Type 2 Diabetes Mellitus, using the recognition of patterns in a database of a health plan operator, through data mining. Method: The following steps were developed: the initial step, the information survey. Development, construction of the process of extraction, transformation, and loading of the database. Deployment, presentation of the geographical information through a georeferencing tool. Results: As a result, the mapping of Paraná according to its health care network and the concentration of Type 2 Diabetes Mellitus is presented, enabling the identification of cause-and-effect relationships. Conclusion: It is concluded that the analysis of georeferenced information, linked to health information obtained through the data mining technique, can be an excellent tool for the health management of a health plan operator, contributing to the decision-making process in Health.

Resumo Os aneurismas intracranianos acometem cerca de 6% da população. O tratamento é realizado por meio de duas técnicas, a endovascular (embolização) e a convencional (microcirurgia). Este estudo teve como objetivo evidenciar a gestão comparativa de duas técnicas cirúrgicas no Paraná, no período de 2008 a 2016. Trata-se de uma pesquisa descritiva, documental, com abordagem quantitativa e análise simples dos dados secundários do DATASUS. No Paraná, a técnica endovascular é realizada em 84% dos pacientes diagnosticados com aneurisma intracraniano e representa 91% do custo total. O custo médio do paciente submetido à técnica endovascular é 93% maior quando comparado à microcirurgia. A média de permanência é 66,9% menor nos pacientes embolizados e a taxa de mortalidade diminui em 64,5% na técnica endovascular.Apesar do custo, a técnica endovascular reduz em mais da metade a média de permanência e taxa de mortalidade, constatando sua elevada segurança.

Objective Propose a process mining-based method for Health Technology Assessment. Methods Articles dealing with prior studies in Health Technology Assessment using Process Mining were identified. Five research questions were defined to investigate these studies and present important points and desirable characteristics to be addressed in a proposal. The was defined method with five steps and was submitted to a case study for evaluation. Results The Literature search identified six main characteristics. As a result, the five-step method proposed was applied in the radical prostatectomy surgical procedure between the robot assisted technique and laparoscopy. Conclusion It was demonstrated in this article the creation of the proposal of an efficient method with its replication for other health technologies, coupled with the good interpretation of the specialists in terms of comprehensibility of the discovered patterns and their correlation with clinical protocols and guidelines.