MedSynthea
Healthcare AI Security

Security Architecture Built for Autonomous Healthcare AI

When AI agents process protected health information across the revenue cycle, every vulnerability becomes a potential HIPAA violation. MedSynthea's zero-trust security architecture was designed from the ground up for autonomous AI in healthcare—ensuring that patient data is protected before, during, and after every agent interaction.

0% PHI exposure in logs100% evidence traceabilitySMART on FHIR EHR write-back
The Security Challenge in Healthcare AI

Autonomous Agents Create New Security Requirements

Traditional healthcare software processes data within defined application boundaries. Autonomous AI agents introduce a different security surface: agents that reason across clinical records, payer systems, and historical data—making decisions and coordinating workflows without constant human oversight.

This creates security requirements that go beyond standard HIPAA compliance:

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PHI in AI reasoning

When AI models process clinical data, patient information can appear in processing logs, model context windows, and intermediate outputs. Without explicit controls, PHI can leak into system logs that are accessible beyond the clinical context.

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Agent-to-agent communication

When multiple AI agents coordinate across workflow stages, patient data flows between agent contexts. Each handoff is a potential exposure point.

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Evidence traceability

When AI agents generate clinical documentation, assign billing codes, or score claims for denial risk, the outputs must be traceable to their source data. Without this traceability, AI outputs cannot be verified, audited, or trusted.

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Integration surfaces

AI agents that read from and write to EHR systems, clearinghouses, and payer portals create integration points that must be secured against unauthorized access and data exfiltration.

MedSynthea's Zero-Trust Architecture

PHI Is De-Identified Before Any AI Reasoning Occurs

MedSynthea's security architecture is built on a foundational principle: protected health information is removed from the data before it reaches any AI processing layer.
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The PHI Scrubber

Before any AI agent processes patient data, MedSynthea's PHI Scrubber de-identifies the information. Patient names, dates of birth, Social Security numbers, insurance identifiers, and other HIPAA-defined PHI elements are stripped from the data and replaced with encrypted tokens.

The AI agents reason on de-identified data. They never see, process, or store raw PHI.

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The Token Vault

De-identified data elements are replaced with encrypted tokens stored in MedSynthea's Token Vault. These tokens:

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Encrypt PHI at rest and in transit

using industry-standard encryption protocols

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Expire automatically

with a 15-minute time-to-live (TTL), limiting the window of potential exposure

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Map back to the original data

only when needed for approved clinical or billing workflows—never for AI reasoning or system logging

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Are inaccessible to the AI agents

themselves—agents work with tokens, not with the underlying patient data

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0% PHI in System Logs

The combination of the PHI Scrubber and Token Vault ensures that no protected health information appears in MedSynthea's system logs at any point. System logs capture agent activity, workflow decisions, error conditions, and performance data—but never patient-identifiable information.

This zero-PHI logging policy applies across all 9 AI agents and all stages of the revenue cycle workflow.

Evidence Traceability and Audit Controls

100% Evidence Traceability Across All Agent Outputs

MedSynthea's strict rule of evidence ensures that every output generated by the AI agents is traceable to its source:
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Clinical documentation

generated by the SCRIBE and NOTE agents is linked to the specific audio segments from the patient encounter

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Medical codes

assigned by the CODE agent are linked to the clinical documentation that supports each code

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Denial risk scores

generated by the RISK agent are linked to the claim data, payer rules, and historical patterns that produced the score

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Payment postings

processed by the EOB agent are linked to the ERA/EOB remittance data from the payer

This evidence chain is maintained at 100% across all processed data. No agent output exists without a verifiable source link.

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Eliminating AI hallucinations

AI agents that generate outputs without source evidence can produce plausible but incorrect results. MedSynthea's evidence requirement ensures that every output is grounded in verifiable source data.

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Audit readiness

When a payer, auditor, or compliance reviewer requests documentation supporting a billed service, the evidence chain is immediately available—from the billing code to the clinical note to the encounter audio.

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Operational accountability

Every workflow decision made by an agent is logged, traceable, and reviewable. Human reviewers can see not just what the agent decided, but why.

Data Protection Controls

Comprehensive Data Protection Across the Platform

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Encryption

  • All data is encrypted in transit using TLS 1.2+ protocols
  • All data is encrypted at rest using AES-256 encryption
  • Token Vault data is encrypted with additional key management controls
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Access Controls

  • Role-based access control (RBAC) governs access to all platform functions and data
  • Agent-to-agent communication is authenticated and authorized at each interaction point
  • Human access to patient data requires appropriate clinical or administrative authorization
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Network Security

  • MedSynthea's infrastructure is hosted in SOC 2-compliant cloud environments
  • Network segmentation isolates agent processing from external-facing services
  • All external integrations (EHR, clearinghouse, payer) use authenticated, encrypted connections
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Data Retention and Disposal

  • Data retention policies align with HIPAA requirements and customer-specific agreements
  • Automated data disposal ensures that expired data is purged according to retention schedules
  • Token Vault entries expire automatically after 15-minute TTL
HIPAA Compliance

HIPAA-Aligned Security Controls

MedSynthea's security architecture is designed to support HIPAA compliance across the Administrative, Physical, and Technical Safeguard requirements:
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Administrative Safeguards

  • Documented security policies and procedures governing agent operations
  • Workforce training and access management for platform administrators
  • Incident response procedures for security events and breach notification
  • Business Associate Agreement (BAA) execution for all covered entity relationships
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Technical Safeguards

  • Unique user identification and authentication for all platform access
  • Automatic logoff and session management controls
  • Audit controls that record agent activity, access events, and workflow decisions
  • Integrity controls that verify the accuracy and completeness of data across agent handoffs
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Physical Safeguards

  • Cloud infrastructure hosted in facilities with physical access controls, surveillance, and environmental protections
  • Workstation and device security policies for administrative access
EHR Integration Security

SMART on FHIR: Secure, Standards-Based EHR Integration

MedSynthea acts as a compliant middleware layer, using SMART on FHIR (Substitutable Medical Apps, Reusable Technologies on Fast Healthcare Interoperability Resources) to read from and write to existing EHR systems.
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SMART on FHIR integration ensures:

  • Standardized authentication and authorization for EHR access
  • Scoped permissions that limit agent access to the specific data elements required for each workflow
  • Approved documentation and codes are written directly into the EHR—no screen-scraping, no manual re-entry
  • Integration maintains the EHR's existing access controls and audit logging

MedSynthea integrates with 50+ leading EHR systems, including Epic, Cerner, Athena Health, eClinicalWorks, AdvancedMD, CareCloud, and more.

Risk Controls for AI Operations

Safeguards Against AI-Specific Risks

MedSynthea's security architecture addresses risks that are specific to autonomous AI operations in healthcare:
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Prompt Integrity

Controls that protect agent reasoning from prompt injection, instruction manipulation, and adversarial inputs that could alter agent behavior or output.

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Execution Boundary Controls

Each agent operates within defined execution boundaries that limit what actions it can take, what data it can access, and what systems it can interact with. Agents cannot exceed their authorized scope.

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Configuration Drift Detection

Monitoring systems detect when agent configurations deviate from their approved settings, alerting security teams to unauthorized changes.

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Human Override

Every agent workflow includes human review points for high-impact decisions. Agents flag exceptions and route them to authorized human reviewers rather than processing ambiguous or high-risk cases autonomously.

Request Security Documentation

Review MedSynthea's security architecture, compliance posture, and data protection controls in detail.