The non-negotiable: privacy-first design
Healthcare Vision AI must be designed with strict access controls, retention discipline, and auditable review. Without privacy-first controls, adoption risk becomes higher than operational benefit.
Where Vision AI adds operational value
1) Safety signals in defined monitored areas
Support early warning for high-risk scenarios where monitoring is already required. Outputs must support controlled escalation and human judgment.
2) Restricted access monitoring
Detect entry into restricted zones and preserve evidence for controlled review, not public escalation.
3) Incident review acceleration
Evidence indexing reduces time spent searching footage, improving response learning and compliance documentation.
Governance requirements
- Role-based access tied to clinical/operational roles
- Auditable access logs and case records
- Defined retention windows and data minimisation policies
- Clear escalation and closure workflows
- Secure deployment options (often on-prem or controlled networks)
Metrics that matter
- Incident evidence retrieval time reduction
- Compliance exception closure time
- False alarm rates and alert fatigue indicators
- Audit completeness (who accessed what, when, and why)
- Adoption across shifts without workflow disruption