This research addresses the development and validation of an information model for pregnancy monitoring that, through the Fast Healthcare Interoperability Resources (FHIR) specification, seeks to promote interoperability for the quality of prenatal care by multidisciplinary teams in Brazilian primary healthcare contexts. The Design Science Research (DSR) approach is applied to propose and evaluate the model, through quality strategies, where iterations increase the mode maturity in accordance with healthcare scenarios. A set of use cases is constructed from user stories in primary care that abstract health concepts for pregnancy monitoring. The information model is presented in a hierarchical structure, with the categorization of related concepts grouped into pillars, in the context of the integration of health professionals who work in a complementary manner. The traceability of the use cases in relation to the semantic pillars of the information model, the implementation of the model from a FHIR perspective, and how the model complies with the ISO 13972:2022 standard (Health informatics – Clinical information models - Characteristics, structures and requirements) are analyzed. This work makes several key contributions, starting with the development of an information model for pregnancy monitoring. This model integrates different areas of primary care to promote a holistic and personalized approach to prenatal care. To ensure data can be shared effectively, it establishes health information interoperability using the HL7 FHIR R4 standard, which involved mapping resources and creating profiles as specified in an implementation guide. The study rigorously applies the Design Science Research method, utilizing multidisciplinary consensus strategies to scientifically improve and evolve the information model.
Braga et al. (2026) studied this question.