Streaming HL7 to FHIR Data using Dataflow and the Healthcare API
Streaming HL7 to FHIR Data with Dataflow and the Healthcare
A process was demonstrated to stream simulated HL7v2 messages into FHIR format using Google Dataflow and the Healthcare API.
Summary
A review page on Google Skills introduces a method for streaming the conversion of HL7 data into FHIR format, utilizing Dataflow and the Healthcare API. This technique provides a concrete approach for migrating legacy medical data (HL7) to modern standard specifications (FHIR).
Key Players
Details
This content is based on review pages found on the Google Skills platform. The core technical topic is the process of streaming HL7 data—a traditional messaging format—into FHIR (Fast Healthcare Interoperability Resources), which is a modern, resource-oriented standard, using Dataflow and the Healthcare API. Such data migration is a critical challenge for many healthcare organizations, requiring them to transition from older systems to structured, API-based data models. Converting HL7 messages, which are often used in legacy environments, into FHIR format—which is RESTful and resource-based—is crucial for enhancing interoperability. Dataflow serves as a tool for building large-scale data processing pipelines. By utilizing the Healthcare API within this pipeline, it performs both parsing of HL7 and mapping to FHIR, thereby achieving standardization in near real-time. This capability enables better system integration between different healthcare systems and facilitates the construction of advanced analysis platforms using AI/machine learning.
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: HL7
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