Effectively recording, managing, and tracking clinical data securely integrated at different healthcare system levels is critical today. However, health systems are composed of several agents, and they are not always able to share and integrate the clinical data of patients. In this sense, the objective of this chapter is to analyze and present the challenges, research opportunities, and possible solutions for developing a distributed model of information interoperability focused on the patient. In addition, aspects related to using data for the development of machine learning models using a collaborative network for sharing patient data will be discussed. Finally, several aspects of implementation, legislation, and ethics involved in a collaborative network for sharing clinical data, will be presented and evaluated.
ResumoO registro, gerenciamento e acompanhamento eficaz de dados clínicos integrados de maneira segura nos diferentes níveis de um sistema de saúde são fundamentais na atualidade. Contudo, os sistemas de saúde são compostos por diversos agentes e que nem sempre conseguem compartilhar e integrar os dados clínicos dos pacientes. Neste sentido, o objetivo deste capítulo é analisar e apresentar os desafios, oportunidades de