HEALTH DATA INTEROPERABILITY

A SCOPING REVIEW PROTOCOL

Abstract

The digital transformation in health has amplified the production, sharing, and use of data among different organizations and information systems, making interoperability a fundamental requirement for the integration of healthcare, administrative, and managerial processes. Despite the technological advancements observed in recent decades, systems fragmentation, the diversity of information models, and the heterogeneous adoption of standards continue to pose challenges for the consistent and meaningful exchange of health data. This study aims to map the scientific and technical literature related to data interoperability in health systems and institutions, identifying models, standards, architectures, conceptual frameworks, and implementation strategies described in the literature. This is a scoping review protocol developed to guide the search, selection, extraction, and synthesis of evidence on the topic. Searches will be conducted in national and international scientific databases and grey literature sources, encompassing studies and technical documents related to health data interoperability. Study selection will be performed by independent reviewers, and the data will be analyzed descriptively and presented through tables, charts, and narrative synthesis. The review is expected to contribute to identifying approaches, challenges, gaps, and opportunities related to data interoperability, thereby supporting digital transformation initiatives, systems integration, and the strengthening of health data management and governance.