ARIA for Healthcare & Emergency Response

Autonomy & Control Model

AI does not execute actions by default. AriaOS operates in Human-In-The-Loop (HITL) mode unless a constrained autonomy profile is explicitly enabled.

Human approval is required for all actions unless constrained autonomy is explicitly configured
Autonomous execution is profile-gated, policy-enforced, and continuously audit-verified
See Autonomy Model for execution mode details

What Breaks Under Stress

During mass casualty incidents, natural disasters, or pandemics, hospital EHR systems saturate. Triage personnel lose connectivity to central patient databases. Resource allocation decisions—ICU beds, ventilators, blood supply—are made with incomplete or stale information.

Field medics operate without real-time guidance. Multi-agency coordination collapses when radio networks jam or cellular towers fail. Post-incident review reveals fragmented patient records, undocumented treatment decisions, and unverifiable chain of custody for controlled medications.

Why Traditional Architectures Fail Here

EHR systems require persistent internet connectivity for patient lookup and documentation
Cloud-based patient matching and resource allocation tools fail during network outages
Triage tags and paper records create synchronization delays when systems come back online
Multi-agency coordination (EMS, hospitals, FEMA, DoD) relies on incompatible communication protocols
Audit trails for controlled substance administration are incomplete or unverifiable
Treatment protocols and clinical decision support go offline when central servers are unreachable

What ARIA Enforces Instead

Offline-First Execution

Triage, patient tracking, and resource allocation continue without hospital network connectivity. AI advisory operates on local sensor data and field reports.

Profile-Gated Control

Access to patient data and controlled substances is governed by role and clearance. Emergency overrides require written justification.

Immutable Audit

Every treatment decision, medication administration, and patient transfer is logged with tamper-evident timestamps. Full chain of custody.

AI Advisory (Intent, Not Autonomy)

AI suggests triage priorities, bed allocation strategies, and treatment protocols. Clinicians authorize all actions. No autonomous medical decisions.

How ARIA Fits

ARIA sits between hospital management systems (EHR, PACS, bed management) and field devices (portable monitors, triage tablets, ambulance systems). It does not replace existing healthcare IT infrastructure. It coordinates patient tracking, resource allocation, and multi-agency communication when central systems are unreachable.

Deployment Notes

No replacement of existing EHR, PACS, or hospital management platforms
Works with or without internet connectivity to regional health information exchanges
Synchronizes patient records when connectivity is restored
Integrates with HL7 FHIR, DICOM, and IHE standards

Operational Characteristics

No-login operation after setup: clinicians authenticated once per shift
Deterministic behavior under degradation: no probabilistic triage recommendations without explicit uncertainty bounds
Explainability by design: AI recommendations include clinical reasoning and confidence levels
Offline patient matching and deduplication using local databases
State synchronization resumes automatically when hospital networks return

Relevant ARIA Subsystems

Control Layer

Weighted voting governance for resource allocation and emergency protocol overrides.

Event Ledger

Immutable log of all patient treatments, medication administration, and clinician decisions.

AI Advisory

Triage prioritization, bed allocation, and clinical decision support with explainable recommendations.

Profile System

Role-based access for field medics, emergency physicians, and hospital administrators.

Edge Control

Coordination of distributed field units, ambulances, and hospital departments during surge events.

Who This Is Built For

Field Medics & Clinicians

Personnel performing triage, treatment, and patient transport during mass casualty or disaster response.

Regulators

Officials requiring HIPAA-compliant audit trails and chain-of-custody documentation for post-incident review.

Auditors

Teams validating treatment decisions, medication administration, and patient transfer authorizations.

System Engineers

Integration teams connecting ARIA to EHR, PACS, hospital management, and emergency response systems.

Healthcare Emergency Response Research

Current work focuses on validating patient tracking, resource allocation, and clinical decision support behavior during mass casualty events when EHR connectivity and central hospital systems are unavailable.

This research examines triage prioritization, medication administration logging, and multi-agency coordination under sustained network outages and hospital system saturation. Learn more about ongoing research →