Abstract
Introduction (with the objective): The lack of standardization in electronic records and the fragmentation of health data hinder the secure and efficient exchange of information between systems. Within the scope of Pharmaceutical Assistance of the Unified Health System (SUS), the Medication Request, Evaluation and Authorization Report (LME) is an essential instrument for access to medications from the Specialized Component. Given this scenario, the international standard HL7 FHIR® (Fast Healthcare Interoperability Resources) emerges as a solution for health data interoperability, aligned with the guidelines of the National Health Data Network (RNDS). This study proposes a standardized Informational and Computational Modeling of LME data, focusing on semantic and structural interoperability between health information systems. Objectives: To develop and implement standardized Informational and Computational Modeling for LME data, based on the HL7 FHIR® standard. Description: This is a technological development study, of an applied nature, conducted in an institutional environment. The methodology included document analysis of the LME form, the guidelines of the RNDS Information Model Repository, and the HL7 FHIR® specification. The data were organized in a spreadsheet, including fields, descriptions, hierarchy, cardinality, data types, and clinical terminologies. The modeling was constructed through comparative analysis with the Information Model of the Electronic Prescription Record of Medicines (REPM) of the Ministry of Health, establishing conceptual alignment. Subsequently, the Computational Model and the respective Implementation Guide were developed in the FHIR® standard. Results: The analysis resulted in a comparative matrix between the elements of the LME and the REPM model, allowing the identification of correspondences and informational gaps. The informational modeling defined the use of FHIR resources, such as: Patient, Practitioner, Organization, MedicationRequest, Observation, Condition, and ClinicalImpression. The model presents a hierarchical structure, definition of cardinality, data types, and linking to clinical terminologies adopted by the Ministry of Health (MS), including ValueSets and CodeSystems, achieving 100% form coverage with complete mapping of clinical-administrative fields. An Implementation Guide (IG) was also generated, consolidating the interoperability artifacts. The proposed solution enables the secure and standardized exchange of health data. Conclusion: The proposed modeling demonstrates technical feasibility and adherence to national digital health guidelines, contributing to the modernization of Pharmaceutical Assistance and the reduction of rework, errors, and inconsistencies. The use of HL7 FHIR® offers scalability, interoperability, and replicability of the solution in different institutional contexts. It is concluded that the adoption of this informational model improves the process of requesting and authorizing medications in the SUS (Brazilian Unified Health System), strengthens data governance, and promotes greater security and efficiency in information management. It is recommended that the model be implemented gradually, coupled with technical training for the teams and continuous evaluation of performance and impact.
