CARE standards and architecture

Standards-first by design, not integration as an afterthought.

CARE is designed as a standards-first core: configurable forms, FHIR-aligned resources, terminology bindings, plugins, open APIs, sovereign hosting, and AI-ready structured data.

Standards layer

CARE speaks the language of modern health systems.

FHIR R5

FHIR-aligned resources and APIs for modern health data exchange and workflow modeling.

SNOMED CT

Clinical terminology direction for structured observations, findings, procedures, and concepts.

LOINC

Laboratory and observation coding for diagnostic and measurement workflows.

UCUM

Standard units for measurements, vitals, labs, and quantitative observations.

ICD-10

Classification support for diagnosis grouping, reporting, and program analytics.

ABDM

India digital health alignment through CARE Apps and integration patterns.

Architecture principles

Modular workflows on a shared clinical data foundation.

CARE avoids treating interoperability as a later integration project. The platform uses structured resources, configurable forms, terminology, and APIs so deployments can adapt locally while preserving data reuse.

Configurable forms

Questionnaires and EMR forms map operational workflows to structured clinical data.

Terminology bindings

Bring-your-own terminology and shared terminology services can align local workflows with standards.

Open APIs

API-first architecture lets hospitals, governments, and partners integrate without closed vendor gates.

Plugin extensibility

Apps and integrations extend CARE for national rails, TeleICU, AI documentation, labs, pharmacy, billing, and analytics.

Sovereign deployment

Health systems should be able to own their infrastructure and data.

CARE is self-hostable and cloud-agnostic. Governments and institutions can run it in their own infrastructure, integrate with national systems, and maintain local control over data and operations.

Self-hosted

Government cloud

Hospital VPC

Hybrid deployments

Cloud-agnostic infrastructure

Mobile-first workflows

AI-readiness

AI works best when the underlying health record is structured, traceable, and interoperable.

OHC frames AI as assistive and human-in-the-loop. CARE can support voice-native forms, documentation drafts, summarization, and document understanding because workflows are connected to structured data and audit trails.

AI draft flags

Auditability

Role-based access

Structured clinical data