Resource transaction
Patient, Encounter, Observation and DiagnosticReport resources are mapped with identity and consent context, then validated before read/write operations.
separates the Trusted Care control plane from the Google Cloud healthcare data plane. Any production deployment depends on approved tenant, region, contract and configuration.
Cloud Healthcare API is presented as a configurable healthcare data plane, not as an AI model and not as an assumed production backend for every deployment.
| Layer | Responsibility | status |
|---|---|---|
| Trusted Care | Tenant, user, VNeID/RAR, consent, workflow, evidence and audit context. | Product architecture |
| Integration Gateway | Identity/resource/message mapping, validation, correlation ID, retry, idempotency, dead-letter and replay. | Configuration dependent |
| Cloud Healthcare API | FHIR, HL7v2 and DICOM/DICOMweb storage and exchange; Pub/Sub notifications; configurable de-identification. | Planned architecture |
| Google Cloud IAM / Logging | Access control and activity logging for Google Cloud resources according to project configuration. | Customer/Google configuration |
| Analytics / AI | BigQuery export or event pipelines for analytics and downstream AI; clinical decisions retain a human-review boundary. | Configuration dependent |
Patient, Encounter, Observation and DiagnosticReport resources are mapped with identity and consent context, then validated before read/write operations.
An MLLP adapter remains an integration boundary; messages are received, validated, submitted to an HL7v2 store and handled with ACK/NACK logic.
A DICOM store exposes DICOMweb operations while patient/study mapping, authorization and provenance remain deployment responsibilities.
FHIR notifications may contain personal information depending on configuration. Topic/subscription permissions and data minimization must therefore be designed explicitly.
| Party | Typical responsibility |
|---|---|
| Mobile-ID / Trusted Care | Applications, tenant model, workflows, integration, consent context, audit/evidence and agreed mappings. |
| Healthcare organization | Processing purpose, project/location choice, user access, data policy, acceptance and operations. |
| Google Cloud | Cloud Healthcare API and related Google Cloud services under the applicable account configuration and terms. |
| HIS/LIS/PACS partner | Source messages/resources/images, transport adapters, mapping and source-system exception handling. |
V19 evidence refresh · 23 Sep 2026
These points reflect current Google Cloud documentation and refine the planned architecture without claiming a production deployment.
Cloud Healthcare API datasets can contain FHIR, HL7v2 and DICOM stores. Store changes can publish Pub/Sub notifications; subscribers and downstream processing remain deployment-specific.
De-identification creates transformed copies for supported FHIR/DICOM flows and is not, by itself, a guarantee of legal or regulatory compliance. Output and configuration require deployment review.
Source and destination stores used by de-identification must be in the same Google Cloud location. FHIR Pub/Sub payloads can contain personal information depending on configuration, so minimization and IAM are explicit design responsibilities.