Reference Patterns for Healthcare Data Interoperability using Cloud Healthcare API

Details

This page serves as a technical reference guide for ensuring healthcare data interoperability using the Cloud Healthcare API. Specific examples include methods for converting HL7v2 messages into FHIR resources, and transforming FHIR resources into the Observational Medical Outcomes Partnership (OMOP) data model. These processes recommend utilizing various Google Cloud services such as Dataflow, Whistle, and BigQuery. This suite of functionalities enables a continuous workflow: standardizing Electronic Health Record (EHR) data from different formats into standardized FHIR resources, and subsequently converting them into the OMOP data model suitable for research. This is expected to solve interoperability challenges in medical data utilization and promote large-scale medical research. The guide is presented not merely as conceptual explanation but as concrete 'reference patterns,' designed for users to proceed with implementation quickly. Furthermore, it specifies that data processing adheres to the Apache 2.0 license, while the content itself is based on the Creative Commons Attribution 4.0 license.