Who this is for
- Clinic owners and boards
- GP partners
- Practice managers
- Clinicians using AI-assisted documentation
- Governance leads preparing renewal or disclosure materials
Questions that may arise
Checklist
- Which AI tools are used in documentation, transcription, triage or clinical workflows?
- Does patient data enter the tool?
- Who approved the tool?
- Was a DPIA completed or reviewed?
- Is vendor evidence available?
- Are clinicians required to review AI-generated outputs?
- Are patients informed where AI records, transcribes or supports documentation?
- Does the incident process cover AI-related errors?
- Has material AI use been reviewed with advisers where relevant?
Common evidence gaps
Checklist
- AI use not recorded
- Scribe live without central evidence file
- No human-review protocol
- No patient transparency wording
- No AI incident route
- No disclosure-readiness note
- No board-adopted AI position
Careful wording: use
- may affect indemnity support
- should be clarified directly with the MDO or insurer
- disclosure-readiness evidence
- final decision remains with provider
Avoid
- cover void
- claim will be rejected
- insurer will not pay
- MDO will refuse support
What ELSA AI can help produce
The Diagnostic includes disclosure-readiness indicators aligned to common renewal and incident questions.
Outputs include
- Board Findings Report
- RAG Exposure Map
- AI Tool and Use Case Inventory
- DPIA Readiness and Patient Data Exposure Note
- Vendor Data Position and Evidence Tracker
- Ambient Scribe Assessment Sheet, where applicable
- MDO, PMI and Insurer Disclosure Readiness Note
- 30-Day Priority Action Plan
- Source and Guidance Mapping Appendix
Advisory governance support only. Not legal advice, DPIA sign-off, CQC approval, ICO approval, insurer coverage advice, MDO indemnity advice or clinical safety case sign-off. Final decisions remain with the organisation's accountable officers and advisers.
Need this evidence mapped for your clinic or group?
The Clinical AI Exposure Diagnostic™ gives clinic leadership a board-ready view of AI use, patient-data exposure, evidence gaps and priority actions in four working days from the start of delivery.