Building an API for Exporting and Processing FHIR Data using Go
Как я строил API для выгрузки и обработки FHIR-данных на
Summary
The author built a data export and processing API using Go, leveraging FHIR (Fast Healthcare Interoperability Resources). Recognizing that standard FHIR APIs struggle with retrieving comprehensive data or facilitating bulk analysis for patients with extensive medical histories, the solution introduces an intermediate layer to ensure fast and reliable data access.
Details
This article is a technical deep dive into utilizing FHIR in healthcare IT. The author notes that while FHIR is the foundational standard for EHR interoperability (e.g., SMART on FHIR), practical implementation faces significant hurdles, such as strict rate limits and the difficulty of traversing complex object graphs via linked resources. To overcome these issues, a custom API layer was developed using Go. This system first performs a full data extraction from the external provider (Export) and then normalizes and cleanses the data into an internal storage model (Processing). Clients and organizations then access this local 'Snapshot' directly. The core architectural innovation is the 'Account → Patient → Snapshot' data model. By storing isolated, consistent snapshots, the system achieves fast user experience for patients while providing reliable, non-dependent data slices for analytical institutions, thereby solving both speed and reliability challenges simultaneously.
Technology Note
FHIR（Fast Healthcare Interoperability Resources）は医療データ交換の国際標準。このエントリの関連技術: FHIR
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