How to Achieve Healthcare Data Interoperability using Cloud Healthcare API
Reference patterns | Cloud Healthcare API - Google Cloud Documentation
Google Cloud published reference patterns detailing how to convert FHIR resources, such as converting a FHIR resource to the Observational Medical format.
Summary
Google Cloud provides technical 'Reference Patterns' utilizing the Cloud Healthcare API to convert data, such as HL7v2 messages and FHIR resources, into standard models like OMOP. This allows structured organization of data obtained from Electronic Health Records (EHR).
Key Players
Details
This page serves as a technical reference guide detailing how to use Google Cloud's Cloud Healthcare API. It is characterized by presenting 'Reference Patterns,' which illustrate data transformation processes for specific use cases. A key feature covered is the conversion of 'HL7v2 messages to FHIR resources.' This demonstrates how to structure traditional HL7v2 messages, typically sourced from Electronic Health Records (EHR) systems, into modern standard FHIR resources. The process outlined involves integrating not only Cloud Healthcare API but also other Google Cloud services like Dataflow and Whistle. Another pattern provided is the 'FHIR resource to OMOP conversion.' This explains how to integrate data into the Observational Medical Results Set (OMOP), an open data model widely used in medical research. This aims to enhance the academic usability of the data by utilizing services such as BigQuery. Since these reference patterns are code-oriented, they are designed for developers to start implementation quickly, making this a valuable technical resource for solving data standardization and interoperability challenges in the healthcare IT sector.
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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