PIXEL, Plataforma para Integração de Experimentos de Interoperabilidade em Sistemas Legados de Saúde Pública
Abstract
Health information systems (SIS) are increasing in complexity and volume of data. The data does not always follow a pattern, aggravating the integration of services, especially when it involves legacy systems. This work proposes PIXEL, a platform to integrate interoperability experiments in legacy public health systems. This solution was applied to GISSA, an intelligent system in the health area that uses machine learning to generate alerts and support the decision making of its users. PIXEL performed the systems integration and implements the initial three levels of interoperability, as proposed by the Society for Health Information and Management Systems (HIMSS).
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