🎙 AI-Generated Note Physician Review Workflow Simulator

The AI-Generated Draft Note Enters Physician Review

A short placeholder on why AI drafts still need a human reviewer.

• 4: Draft sections (S / O / A / P)
• Physician: Reviewer of record (accountable party)
• Unsigned: Draft status (not yet clinical record)
• Assistive only: AI role (not final authority)

Why a draft, not a final note

Placeholder: AI output starts as a draft, never an autosigned note.

What the physician sees first

Placeholder: full note text, flagged AI-origin, awaiting review.

Section-by-Section Review Against the Physician’s Own Recollection

Placeholder lead on comparing each SOAP section to memory.

• 4 of 4: Sections reviewed (S, O, A, P in turn)
• Physician memory: Reference source (of the actual visit)
• Faster, less catch: Rushed pass (higher residual error)
• Slower, more catch: Thorough pass (lower residual error)

Reading pace and thoroughness

Placeholder: thoroughness slider changes reading speed per section.

What errors look like

Placeholder: omissions, wrong details, extra content not said.

Edits: Corrections, Additions, and Removals

Placeholder lead on the physician actively editing note text.

• 3: Edit types (correct, add, remove)
• Thoroughness level: Edits driven by (catch rate per section)
• Rubber-stamping: Untouched note risk (skips this step)
• Accurate record: Goal (matches the encounter)

Correcting inaccuracies

Placeholder: wrong findings or values are fixed in place.

Adding and removing content

Placeholder: missing details added, fabricated content removed.

Physician Confirms Accuracy of the Final Version

Placeholder lead on the confirmation checkpoint before signing.

• All 4 sections: Confirmation gate (must read reviewed)
• Near zero: Residual errors goal (before confirming)
• Explicit: Confirmation action (not automatic)
• E-signature: Next step (legal accountability)

What confirmation means

Placeholder: an explicit attestation the note is now accurate.

Residual error check

Placeholder: thorough review leaves fewer uncaught errors.

Electronic Signature — Physician Becomes Author of Record

Placeholder lead on accountability transferring at signature.

• Signed: Signature status (record finalized)
• Physician: Legal author (not the AI system)
• Undermines safety: Rubber-stamp risk (if review was superficial)
• Preserved: Human-in-loop value (when review is genuine)

What signing legally means

Placeholder: signature attests accuracy and accepts accountability.

Placeholder highlight: a rubber-stamped note carries real clinical and legal risk.

Why the review step matters

Placeholder: genuine review is what makes AI assistance safe.