What challenges did SIOS Technology, Inc. face before AI implementation?

Conventional EMR systems had usability and interoperability issues when sharing data with other hospitals. The solution also had to support 24/7 operation, high availability, and Japanese healthcare requirements for testing, prescriptions, and disease names.

What was the impact of the AI solution?

The service is deployed as a practical cloud EMR that can run continuously and support interoperability across hospitals. The article says the team performs about 1,500 automated tests per day and can provision Cloud Healthcare API resources in seconds for faster development feedback. The system is positioned to support future telemedicine and broader medical digital transformation in Japan.

Source

GCPProductionEvidence: Medium55/100

INDIGO NOTE cloud EMR uses Cloud Healthcare API on GKE

Use case typeCloud migrationUpdated Jun 13, 2026

SIOS Technology, Inc. and Seijin Medical Corporation developed INDIGO NOTE, a cloud-based electronic medical record service for psychiatric hospitals in Japan. The service is built on HL7 FHIR for medical information exchange and uses Cloud Healthcare API as the FHIR-compliant data storage and exchange foundation.

Organization: SIOS Technology, Inc.
Industry: Healthcare
Location: Japan
Published: May 2026

Reported outcomes

Strategic outcomes

New product / capabilityBuilt a cloud-based EMR serviceCustomer experience & trustImproved interoperability across hospitalsSpeed & agilityEnabled faster development feedback cyclesNew product / capabilityPrepared for telemedicine expansion

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: SIOS Technology, Inc., Seijin Medical Corporation
Provider: GCP
Maturity: Production
Linked source: Google Cloud Customer Story

The service is deployed as a practical cloud EMR that can run continuously and support interoperability across hospitals

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 4

1Electronic health records
2Interoperability
3Cloud migration

Conventional EMR systems had usability and interoperability issues when sharing data with other hospitals.
The solution also had to support 24/7 operation, high availability, and Japanese healthcare requirements for testing, prescriptions, and disease names.

SIOS Technology adopted Google Kubernetes Engine as the deployment and operations platform for the microservice-based EMR.
INDIGO NOTE uses Cloud Healthcare API as the medical datastore and exchange layer, with HL7 FHIR resources mapped to the Japanese EMR model.
The implementation uses automated CI/CD with many containers and datastores to support rapid feedback cycles, and Google Cloud support helped address data search gaps with Elasticsearch.

Technologies

Google Kubernetes Engine Cloud Healthcare API Pub/Sub Elasticsearch

The service is deployed as a practical cloud EMR that can run continuously and support interoperability across hospitals.
The article says the team performs about 1,500 automated tests per day and can provision Cloud Healthcare API resources in seconds for faster development feedback.
The system is positioned to support future telemedicine and broader medical digital transformation in Japan.

Architecture

INDIGO NOTE is implemented as a cloud-native, microservice-based EMR service on Google Kubernetes Engine. It uses Cloud Healthcare API as the HL7 FHIR-compliant datastore and exchange foundation, with multi-location deployment for service availability and separate handling for functions such as EMR, tenant management, accounting, and FHIR. The article also mentions CI/CD pipelines using multiple containers and datastores, plus Pub/Sub and Elasticsearch to support testing and search requirements.

Sources & evidence1

Evidence: Medium55/100Evidence strength