AI-Assisted Consultation Notes and Treatment Planning

No. AI should only document and structure information provided by the qualified practitioner. Treatment selection, product choice, and dosage decisions require clinical judgment based on in-person assessment. Use AI to draft the documentation framework and format the protocol, then have the practitioner fill in all clinical parameters. This protects both the patient and the practice from liability associated with AI-generated clinical recommendations.

Before/after photos are personal data under PDPA in both Singapore and Malaysia. You need explicit consent for each use case: clinical record (required), internal training (separate consent), marketing or social media (separate, specific consent with right to withdraw). Store photos in your secure practice management system, not on personal phones or generic cloud storage. If photos are used externally, de-identify by cropping or blurring identifying features unless the patient has given specific written consent for identifiable use.

Treatment protocols should always be presented as recommendations, not commitments. Build flexibility into your workflow: after the initial consultation, send the patient a written treatment plan for review at home. Schedule a brief follow-up call or message to answer questions and confirm the plan. If changes are needed, update the protocol in your system and regenerate the relevant documents. The AI drafting process makes revisions quick, so adapting to patient preferences adds minimal administrative overhead.