An AI scribe designed to give physicians the visit back.

Problem: The Note Was Stealing the Visit

The note gets typed with eyes on a screen, or finished at night. AizaMD™ records the visit and drafts the note and codes. But the physician owns every line, so checking has to beat writing: one target, review and sign in about 30 seconds, with four questions answered.

• Where did this line come from?

  Answered in Decision 01

• Can I choose how much the AI writes?

  Answered in Decision 02

• Will it change my note or codes on its own?

  Answered in Decisions 03 and 04

• What if the recording fails mid-visit?

  Answered in Decision 05

Decisions: Designing for a 30‑Second Sign-Off

Five decisions make the draft quick to check and fix.

Decision 01

Fix the Source, Not the Note

Why

The transcript is the record of what was said. Patch the note by hand and the two drift apart.

Result

One fix in the transcript regenerates the whole note.

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Decision 02

Let the Physician Choose How Much the AI Writes

Why

The AI supports and never overrides. The default, Minimal, adds formatting and small clarifications; the physician can go lower or higher.

Result

Three levels shipped: None, Minimal, and Extensive, each with a live example.

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Decision 03

Ranked Suggestions That Wait to Be Accepted

Why

CliniEnhance ranks each gap Critical, Important, or Recommended, so a short review still covers what matters.

Result

Each suggestion shows its rationale and impact. The note changes only when the physician accepts.

4 steps·Swipe

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   01

   Step 1: Ranked

   Most urgent first, each with rationale, edit, dismiss, and accept

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   Step 2: Explained

   Clinical and financial impact beside the accept button

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   Step 3: Loading

   While it works, the panel says so

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   Step 4: All clear

   With nothing to fix, it says that too

Decision 04

Codes the Physician Picks

Why

Codes go out under the physician's name, so each one must be easy to check and impossible to send by accident.

Result

ICD-10 and CPT suggestions, with a rationale for each procedural code. Only the codes the physician selects reach the EHR.

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Decision 05

Fail Loudly, Recover Gently

Why

A note built on half a recording is worse than no note.

Result

Recording pauses when the connection drops and resumes only when the physician taps Resume Recording.

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   Step 1: Connection lost

   Recording pauses, and the screen says it is retrying

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   Step 2: Back online

   Nothing restarts until the physician says so

Workflow: Fitting Into the Day Physicians Already Have

A scribe outside the EHR just turns typing into copy and paste. AizaMD™ starts from the EHR schedule and sends the signed note back. Between visits, dictation works in any app.

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3 steps·Swipe

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   Step 1: Ready

   Press F1 in any app

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   Step 2: Listening

   Timer and live waveform while recording

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   Step 3: Pasted

   Confirms which app got the text

ComHub: From Design to Production Code

Patient conversations shouldn't live in personal text threads. ComHub is HIPAA-compliant messaging inside AizaMD™; I designed and shipped it end to end, writing production code alongside our engineers.

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Impact: What Shipped, and What Is Still a Target

Reflection: What I'd Carry Forward

1. 01

   A setting beats an accuracy claim

   Physicians can turn a setting down. An accuracy figure they can only take on faith.

2. 02

   Make every AI addition name itself

   Labels like Provider Reference cost little and spare a full reread.

3. 03

   Measure the target from day one

   Time ready-to-signed in the first release, so 30 seconds becomes a result.