HL7 and FHIR: A Technical Guide for Healthcare IT Engineers in Indonesia
A technical guide for Indonesian healthcare IT engineers on HL7 and FHIR standards, covering message formats, resource types, and practical implementation guidance.
HL7 (Health Level Seven) is the global standards organization for healthcare information exchange. For Indonesian healthcare IT engineers, understanding the full HL7 portfolio provides essential context for navigating the interoperability landscape.
HL7 Version 2 is the legacy messaging standard still used extensively in Indonesian hospital integration — particularly for laboratory results, admission-discharge-transfer events, and clinical order communication. Its pipe-delimited format predates modern web technologies. FHIR R4 is HL7's modern, web-native standard using JSON or XML over standard REST APIs, making it far more accessible to engineers with general web development backgrounds.
FHIR R4 organizes clinical information into Resources — discrete data units for specific health information types. The Patient resource contains demographic information and identifiers. The Encounter resource describes a specific healthcare visit. The Observation resource records clinical measurements and findings. The DiagnosticReport resource aggregates laboratory and imaging results. Understanding relationships between resources is as important as understanding individual structures — clinical data rarely lives in a single resource.
FHIR R4 uses standard REST operations: POST for creating resources, GET for reading, PUT for updating, DELETE for removing. Transaction bundles allow atomic multi-resource operations — critical for clinical scenarios where multiple related resources must succeed or fail as a unit.
Indonesia's Ministry of Health has published a national FHIR Implementation Guide specifying how base FHIR R4 resources must be adapted for Indonesian healthcare. This IG takes precedence where Indonesian requirements differ from the base standard. The SatuSehat sandbox and official API collections are essential tools for testing conformance before production deployment.
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