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Clinical safety

Clinical safety and AI limitations

AI MedPad supports clinical documentation, but it should be used with explicit clinician review and local clinical governance.

Clinician review is required

AI MedPad drafts documentation for review. A qualified clinician remains responsible for checking facts, clinical context, diagnosis, treatment decisions, prescriptions, referrals, and final medical record content.

Generated content is not autonomous care

Suggestions, prompts, red flags, and differential diagnosis support are not a diagnosis and should not be treated as independent medical advice. Clinics should define local review policies before using AI-generated drafts in clinical workflows.

Language and terminology limitations

Multilingual transcription can improve documentation coverage, but language, accents, background noise, abbreviations, and specialty terminology may introduce errors. Clinicians should verify critical details before finalizing records.

Prescription safeguards

Prescription drafts should be checked against patient history, allergies, contraindications, local regulations, and the clinician's own judgment before signing or sending. AI MedPad should not be used to bypass prescribing responsibility.

Implementation controls

Clinics should train staff, define escalation workflows, monitor documentation quality, and review product behavior during rollout. De-identified sample outputs should be evaluated before live deployment.