Six foundational commitments govern every model we train, every feature we ship, and every patient interaction our agents facilitate.
Every feature is architected with data minimization and purpose limitation at its core. Patient data is never used for model training without explicit, revocable consent.
Continuous bias auditing across demographic groups ensures equitable outcomes. Our models are validated against diverse populations to prevent disparate impact.
Every AI recommendation includes a transparent reasoning chain. Clinicians can inspect the evidence, weighting factors, and confidence intervals behind each output.
AI augments clinical judgment — it never replaces it. All care-impacting decisions require licensed clinician review before reaching patients.
Patients control their data, can review AI-generated insights, and have the right to opt out of algorithmic decision-making at any time.
Our Ethics Advisory Board conducts quarterly reviews of model behavior, bias metrics, and patient outcomes to ensure ongoing alignment with clinical best practices.
Independently audited and certified against the frameworks healthcare organizations require.
Health Insurance Portability & Accountability Act
Full administrative, physical, and technical safeguard compliance. Business Associate Agreements executed with all covered entities.
Service Organization Control
Independent third-party audit validating security, availability, processing integrity, confidentiality, and privacy controls over a 12-month observation period.
Common Security Framework
r2 certified against the HITRUST CSF, harmonizing requirements from HIPAA, NIST, ISO 27001, PCI-DSS, and COBIT into a single framework.
Information Security Management
Certified information security management system covering risk assessment, access control, cryptography, and incident response across all operational domains.
Defense-in-depth security controls protect patient data at every layer of the stack.
All PHI encrypted with AES-256 in Galois/Counter Mode with authenticated encryption and per-record initialization vectors.
All data in motion protected with TLS 1.3, forward secrecy via X25519 key exchange, and certificate pinning on mobile clients.
Database-enforced tenant isolation ensures queries never cross organizational boundaries, verified by automated policy tests.
Sensitive identifiers replaced with irreversible tokens before entering analytics pipelines, ensuring de-identification at the data layer.
Encryption keys automatically rotated every 90 days with zero-downtime re-encryption and full key lineage tracking in HSM.
Every request authenticated and authorized regardless of network location. No implicit trust — identity verified at every layer.
Substance use disorder (SUD) records demand the highest level of protection under federal law. Medera implements the full spectrum of 42 CFR Part 2 requirements, ensuring SUD data is segmented, consent-gated, and never disclosed without explicit patient authorization.
42 CFR Part 2 · Federal Regulation
Every interaction with protected health information is recorded in a tamper-evident audit log designed for regulatory examination and forensic analysis.
Every read, write, and export of patient data is captured with user identity, timestamp, IP address, and action context.
Audit records are retained for a minimum of six years in compliance with HIPAA requirements, stored in immutable append-only storage.
Log entries are chained using Merkle tree hashing, making any tampering cryptographically detectable and independently verifiable.
AI is only as safe as the governance surrounding it. Our clinical oversight framework ensures every automated action is accountable.
All clinical AI outputs are reviewed by board-certified physicians and licensed mental health professionals before deployment. Model updates require clinical sign-off.
Real-time monitoring for indicators of self-harm, suicidal ideation, and acute distress. Immediate escalation to licensed crisis counselors with warm handoff protocols.
Multi-tier escalation framework with defined SLAs: automated triage within 30 seconds, clinical review within 5 minutes, and executive notification for critical events.