How would you measure the success of Art's AI-drafted visit documentation for Epic clinicians?

Introduction

Art is Epic's clinician-facing AI assistant inside Hyperspace and Haiku. Its capabilities include chart summaries for physicians and nurses, In Basket drafting of replies to patient messages, and AI-assisted documentation, including ambient listening that drafts visit notes from the conversation. At Epic's 2026 user group meeting, the company said clinician and nurse summaries were in use at more than 300 health systems and that "Chart with Art" was live in more than 70 specialties, while Texas Children's reported 50% less time reviewing patient messages with In Basket Art. The prompt asks how we would measure the success of Art's AI-drafted visit documentation. This is a medium-difficulty question because documentation AI affects clinician time, note quality, billing and patient safety at once.

Step 1

Product Context (3 minutes)

Clinicians in the US spend a large share of their day on documentation, often finishing notes at home ("pajama time"), which contributes to burnout. Ambient documentation tools listen to the visit (with patient consent) and draft a note that the clinician reviews, edits and signs. Epic offers its own capabilities through Art and has also integrated third-party ambient tools such as Microsoft's Dragon Copilot and Abridge, which many health systems use.

Key stakeholders:

• Clinicians: want less documentation time and accurate notes.
• Patients: want clinicians to look at them, not the screen; want privacy.
• Health systems: want reduced burnout, higher capacity, accurate coding.
• Compliance and coding teams: need notes that support billing accurately.
• Epic: wants Art to be the default documentation assistant.

Flow:

1. Clinician starts recording in Haiku or Hyperspace with patient consent.
2. Art drafts the note sections (history, exam, assessment, plan).
3. Clinician reviews, edits and signs.
4. Orders and follow-ups suggested from the conversation are queued for approval.

Lifecycle stage: Growth, with rapid adoption and competition.