MedAdvisor, Australia's leading medication management platform connecting over 90% of community pharmacies, faced a critical challenge: pharmacists were losing hours daily to manual documentation, diverting time from patient care. To solve this, MedAdvisor built an AI-powered Scribe using Amazon Nova on Amazon Bedrock. The tool listens to pharmacy consultations in real time, transcribes conversations, and automatically generates structured clinical notes. Through iterative prompt engineering, output quality improved from 3.5 to nearly 4.5 out of 5, surpassing market alternatives. Now in beta across Australia, the solution went from concept to production-grade clinical documentation in under six months.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Real-time transcription of pharmacy consultations on Amazon Nova via Bedrock. Auto-generated structured clinical notes. Quality 3.5 → 4.5 through iterative prompt engineering. Beta across Australia in <6 months.
Why it matters
Pharmacist time is expensive and clinical. Removing documentation toil is high-ROI in regulated healthcare.
The hard parts
Pharmacy consultations are semi-private. Patient consent and data handling matter — and vary by jurisdiction.
Playbook moves
(1) Consent flows first. (2) Don't deploy STT in consultation rooms without patient knowledge. (3) Treat the prompt as load-bearing IP — version, review, test it.
The surprise
Iterative prompt engineering moved quality from 3.5 to 4.5 — meaningful, but more importantly a sign that prompts are now *load-bearing IP*. Treat them like code: versioned, code-reviewed, regression-tested. Most orgs still treat prompts as folklore.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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