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Specialized Training on HL7 FHIR for Healthcare Data Interoperability

ChatGPT para Gestão e Tarefas Administrativas - Ciência e Letras

July 16, 2026

Summary

This course targets professionals at the intersection of healthcare and technology, aiming to acquire practical interoperability skills using HL7 FHIR. Participants will learn how to structure clinical data and exchange system data using APIs.

Details

This professional training program is designed for professionals involved in the design, implementation, or utilization of health information systems. The core curriculum focuses on understanding the principles of HL7 FHIR and mastering practical skills through data modeling using clinical resources such as Patient and Observation. Key learning points include consuming and exposing FHIR APIs for system integration, and analyzing best practices for interoperability. The program structure covers not only theoretical concepts but also technical depth, including the framework of interoperability in health information systems, the evolution from HL7 v2 to FHIR, and the role of IHE in information circuits. Specific topics include the fundamental principles of FHIR, resource structures, RESTful API logic for data exchange, and utilizing Implementation Guides (IGs). The training emphasizes practical application over mere theory, using real-world scenarios and exercises to build problem-solving capabilities for participants tackling challenges in digital health projects. The goal is to promote standardization and practical technical application of data exchange within the healthcare sector.

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