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The operating architecture
Patient engagement, provider work, clinical operations, consent, assistive intelligence, and interoperability share one obligation spine. Adopt them together or in governed stages.
A module is complete only when its authority, owner, outcome, and evidence are visible.
Patient engagement
Patients see their appointments, care tasks, education, documents, and messages in plain language — with consent preferences they control.
Patient portal with visit summaries and documents
Assigned education with completion tracking
Secure messaging with the care team
Consent center with versioned records
Telehealth access from any modern browser
Notification preferences per channel
Provider workflows
Unified worklists, review queues, documentation support, and care-plan tooling keep clinical attention on patients — with every consequential action audited.
Role-scoped worklists and review queues
Documentation drafts with mandatory human sign-off
Care plan view and team coordination
Escalation queues with defined ownership
Task management across the care team
Audit-aware actions by default
Clinical operations
Virtual visits, remote monitoring signal review, and care-plan operations run on the same spine — resilient on weak networks, responsive at scale.
Telehealth visits with resilient session controls
Remote monitoring review queues and thresholds
Care-plan task orchestration
Escalation workflows with audit trail
Offline-tolerant patient capture with safe sync
Operational reporting per facility
Compliance console
Compliance teams work from live audit trails, PHI access logs, consent records, and exportable evidence packs — not reconstructed spreadsheets.
Hash-chained, tamper-evident audit trails
PHI access logging with break-glass review
Consent records and policy versioning
Exportable evidence packs for reviews
Incident and dispute workflows
Oversight dashboards for sensitive operations
Consent management
Versioned, auditable consent governs AI-assisted intake, provider communication, and any coordination with labs, pharmacies, or imaging partners — and withdrawal is honored across the network.
Consent capture with versioned records
Telehealth and AI-assisted-intake consent
Patient-controlled data-sharing permissions
Consent withdrawal honored across workflows
Consent status visible to providers and admins
Full consent audit trail
AI intelligence
On-device, in-app, and cloud intelligence under one governance model: labeled output, guardrails, kill switches, audit logs, and human approval for anything consequential.
Documentation and summarization drafts
Queue prioritization with visible rationale
On-device private assistance (offline-capable)
Policy-gated cloud inference with audit trails
Red-team tested guardrail pipeline
Per-region AI enablement controls
Interoperability
API-first architecture with scoped keys, signed webhooks, and integration audit logging — built to meet EHR and health-data exchange standards as regional deployments mature.
Public APIs with scoped credentials
Signed webhooks with replay protection
Integration audit logging
FHIR-oriented data modeling direction
Import/export tooling for care records
Integration health monitoring
Bring the real workflow
We will map the authority, data, failure states, human controls, and evidence path before proposing an implementation.