Every clinical decision traced. Every AI action accountable.
Healthcare AI systems process patient data under the strictest regulatory scrutiny. If a model influences a clinical decision, the entire chain — from input to recommendation — must be reconstructable by any auditor at any time.
Watch the mission ↓Initializing mission msn-drug-interaction-screen
Patient data: HIGHLY CONFIDENTIAL
HIPAA: ACTIVE · Caldicott: ENFORCED
Generating execution plan...
capability: ingest · source: ehr-integration
Retrieving active medication list...
Patient PSN-4827
capability: analyze · databases: BNF · DrugBank · FDA FAERS
Cross-referencing 4 medications...
Checking 6 pairwise interactions
Applying NHS Clinical Safety policy DCB0129
Rule CS-041: Severe interactions require immediate clinician notification.
Rule CS-042: AI must NOT recommend dosage changes without clinician review.
Sealing audit trail. Patient data pseudonymised throughout chain.
Records: 18 entries
✓ Chain integrity: VERIFIED
✓ HMAC authentication: VALID
Full decision pathway reconstructable for clinical governance review, MHRA inspection, patient safety investigation.
Mission msn-drug-interaction-screen completed successfully.
Duration: 11 seconds · Agents used: 3 · Classification: ADVISORY — requires clinician sign-off
Audit records: 18 (chain sealed)
2 interactions flagged for clinical review.
No autonomous recommendations made.
Decision pathway fully auditable.
Awaiting clinician acknowledgement.
Policy-Governed Execution
NHS Clinical Safety policy prevents autonomous clinical decisions. AI output is always ADVISORY, requiring human sign-off before any action is taken.
Pseudonymised Data Handling
Patient data is pseudonymised at ingestion. The audit trail records every decision without exposing patient identity throughout the chain.
Hash-Chained Audit Trail
Complete decision pathway is hash-chained. MHRA inspectors can reconstruct every step independently for clinical governance review.
Hivemind maps directly to healthcare and life sciences regulation.
EU AI Act · High-Risk Classification
AI systems influencing clinical decisions are classified as high-risk. Requires risk management systems, technical documentation, and human oversight mechanisms.
UK MHRA — AI as a Medical Device
Software that influences diagnosis or treatment may qualify as a medical device. Requires transparency, traceability, and post-market surveillance.
NHS DCB0129 Clinical Safety
Mandatory clinical safety standard for health IT. Requires documented hazard analysis and a complete clinical safety case for any system used in patient care.
HIPAA (US Market)
Healthcare AI handling protected health information must enforce strict access controls, audit logs, and data minimisation — applicable to US-facing deployments.
See how Hivemind works for your healthcare workflows.
Financial Services
Compliance that proves itself — hash-chained audit trails and policy-governed execution for FCA, MiFID II, and Basel III.
Explore use case →Defense & Government
Mission-critical AI orchestration with tenant isolation, capability tokens, and zero implicit trust.
Explore use case →Legal
Document analysis, due diligence, and contract review — auditable, repeatable, verifiable.
Explore use case →