End-to-end prior authorization
Plan, gather evidence, assemble the packet, submit via X12 278, and track the response.
Multi-Agent Orchestration
Multi-Agent Systems for Healthcare
Some workflows are too long for one prompt. We build systems where a planner, executors, and a critic divide the work, use real tools, share memory, and run under guardrails and observability.
Planner / Executor / CriticTool useHuman-in-the-loopFull observability
Trusted by global innovators
One agent breaks on long workflows
Real healthcare operations — verify eligibility, gather evidence, assemble a prior-auth packet, submit, track the response — span many systems and steps, and one model doing it all in a single shot loses the thread. A multi-agent system gives it shape: a planner decomposes the goal, executors own bounded tasks and call real tools, a critic reviews output against policy, and shared memory keeps every agent on the same state.
Orchestration architecture
Planner, executors, and critic coordinate through shared memory and a tool layer — guardrails at each handoff, traces across the full run.
Key Capabilities
Orchestrated architectures built for reliability on long, multi-system healthcare workflows.
Planner / executor / critic pattern
A planner decomposes the goal into steps, executors own each task, and a critic validates outputs against policy before the workflow advances.
Tool use with typed contracts
Agents call real tools — eligibility (X12 270/271), FHIR R4 reads, document generation, EHR write-back — through typed, validated interfaces.
Shared memory & state
Common working memory keeps every agent on the same facts, so no agent redoes another's work.
Observability & tracing
Every step, tool call, and decision is traced end to end — inputs, outputs, latency, cost — to debug and prove what happened.
Who runs it
Workflows worth orchestrating
Denial-to-appeal pipelines
Classify a denial, retrieve evidence, draft the appeal, and route for human sign-off.
Referral coordination
Verify coverage, collect the workup, and generate the referral packet across systems.
Revenue-integrity review
Reconcile charges against documentation with a critic flagging gaps for a coder.
Orchestration, expected impact
Expected impact, not guarantees — depends on workflow complexity and review policy.
Every step
Traced with inputs, outputs, and cost
Policy-gated
Critic review before any write-back
Bounded
Each agent owns one validated task
Compliance-First Healthcare App Development Services Backed by Global Standards
15-Minute Scoping Call01
HIPAA
Health Insurance Portability and Accountability Act
Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.
02
GDPR
General Data Protection Regulation
Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.
03
FHIR
Fast Healthcare Interoperability Resources
Enable standardized health data exchange across apps, care teams, and systems through robust FHIR-ready APIs.
04
HL7
Health Level Seven International
Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.
05
HITRUST
Health Information Trust Alliance
Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.
06
HITECH
Health Information Technology for Economic and Clinical Health Act
Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.
07
SaMD
FDA Software as a Medical Device
Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.
08
MDR (EU)
Medical Device Regulation (European Union)
Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.
09
SAMHSA
Substance Abuse and Mental Health Services Administration
Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.
Standards we build against
Standards & data surfaces
HIPAASOC 2FHIRX12 278CDS Hooks
How It Works
How an orchestrated run executes
Capture the goal, execute under guardrails, critique, then write back — every hop observable.
1.
Capture — the goal & context
A workflow goal enters with its patient and PHI scope, and the planner produces an ordered, checkable plan from shared memory.
Planner
2.
Processing — execute with tools + guardrails
Executors run each step with typed tools for eligibility, FHIR reads, or document generation, schema-validated and PHI-scoped into shared memory.
Executors + guardrails
3.
Action — critic review
A critic agent checks the result against policy, sends failing work back, and escalates high-stakes decisions to a human checkpoint.
Critic + human-in-the-loop
4.
System update — write-back & trace
Approved output writes back to the EHR, and the full run — every step, tool call, approval — persists as an auditable trace.
Audit logged
Related proof
Read Case StudyLera Health: compliant women's health platform
Related proof of compliant delivery — not this exact system. For Lera Health we orchestrated a multi-step testing-to-insights workflow over sensitive data — the same discipline: bounded steps, validation, and traceability.
Compliance & Guardrails
Reliable because it's governed, not just smart
Orchestration earns trust by making each agent's behavior bounded, reviewable, and traceable.
PHI handling
Patient scope and consent travel through shared memory; every step is PHI-scoped, and PHI never leaves the boundary or trains models.
Human-in-the-loop
High-stakes steps pause for human approval; the critic surfaces what needs review rather than acting autonomously.
Explainability
The plan, each executor's tool calls, and the critic's rationale are recorded, so a completed run can be explained step by step.
Audit logging & observability
End-to-end traces capture every input, output, latency, and cost across agents — one source of truth for compliance and engineering.
Frequently Asked Questions
Yes. Patient scope and consent flow through shared memory, every step is PHI-scoped, and PHI never trains shared models. End-to-end traces provide the audit trail.
Ready to orchestrate a long workflow?
Bring us a multi-step process that keeps breaking in one shot. We'll design the planner, executors, critic, and observability to make it complete reliably — and prove it on your data.
contact@agnotic.com
Partnerships
contact@agnotic.com