DoctorAnywhere · AI product design · 2025 to 2026

A draft the doctor still owns.

Role
Product Designer
Period
Aug 2025 – Jan 2026
Team
1 PM
1 Clinical lead
AI squad
Provider engineers
Constraint
Specialist referrals only
Live in Singapore
Overview

After a video consult, doctors retyped their own notes into every specialist referral letter: two to three extra minutes a case, with no template, so no two letters looked the same. Referrals are rare, about one patient in twenty, and doctors read every detail before sending.

  • Problem
    Retyping notes into every letter.
  • What I changed
    An AI draft from the doctor's own notes. Every field editable.
  • Key result
    30% of all referral letters are now AI drafted.
  • My role
    Flow, AI interaction, motion, app handoff, design QA.
Doctors were not asking to be replaced. They were asking not to type the same thing twice.
Exploration

Two entry points explored, one shipped.

A prompt under the consult notes meets the doctor where they are writing. A button inside the existing referral drawer fits the flow doctors already use.

Explored: a Need a referral? prompt under the consult notes
Prompt under the notes. The ideal future state, but a new pattern in the middle of the consult.
Shipped: the Generate referral button inside the referral drawer
Shipped
Button in the referral drawer. Chosen after review with the clinical lead.
Trade off accepted: the doctor has to know the feature exists, so the AI button's idle and loading motion makes it found without a tutorial.
Design decisions

Three decisions that kept the doctor in charge.

1. Regenerate button→Better notes, better draft

What changed
The button only works again when the notes change. Doctors improve the input instead of rolling the dice.

2. Greyed-out Save→Save that points to the gap

What changed
Save stays active and shows which field is missing, so nobody guesses why it will not save.

3. Four extra features→One drawer, one job

What changed
Cut the saved list, preview step, urgency field and bulk actions. Referrals happen once in twenty patients.

Outcomes

A referral drawer that drafts with the doctor.

Drafts only from the notes

The button stays disabled until diagnosis and notes are filled.
Then the AI drafts from what the doctor already wrote, nothing else.

A draft that says it is a draft

Every field stays editable, with a disclaimer that clears with the draft.
The doctor reviews and saves. Nothing is sent on its own.

Impact

Doctors keep the draft and rewrite the summary.

811
AI letters, from 849 requests
30%
Of all referral letters are AI drafted
82–89%
Of fields rated exact or good
30.4%
Clinical summaries kept word for word

Measured from 1 Aug to 29 Oct 2026.

Doctors rewrite the clinical summary most of the time while still rating it good. That is the editable draft working as designed.
Reflection

What I took from it.

  • Designing AI for clinicians is mostly designing the edges. When it runs, what it reads, what happens when it is wrong, and how the person stays the author.
  • Agree the success metric before launch. The brief named an 8% expired call rate on referral symptoms, and we have no after figure for it yet.