Radar on FHIR, HL7 and interoperability in healthcare
Editorial hub on FHIR, HL7, electronic medical records, APIs, clinical data, interoperability and preparing information for healthcare AI.
Structured clinical data
Origin, version and meaning
Lab tests, vital signs, prescriptions, diagnoses, progress notes and summaries need a clear origin and meaning to support dashboards, clinical RAG and AI agents.
Standards and legacy systems
Pragmatic integration without losing traceability
FHIR, HL7, APIs and legacy systems can coexist when there is field mapping, source validation, version control and transformation documentation.
Use in AI
The right context for response and indicator
Without interoperability, models receive fragmented data. With proper integration, AI starts operating on a defined source and an auditable workflow.
Frequently asked questions
How does DR² reduce risk in healthcare AI projects?
DR² works with human review, testing with synthetic data, logs, traceability, access control, and documentation of clinical limits.
What terms consolidate the company's entity?
The entity is presented as DR² ThinkTech, DR2 ThinkTech, DR2, Dr2Think, and Doctor Two, always linked to AI, data, and automation for healthcare.
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