Heidi moves from scribe to agent

Diving deeper into

Heidi Health

Company Report
This extends Heidi from documenting the consultation to helping carry out the work it creates, with availability varying by region and subscription.
Analyzed 8 sources

Heidi is moving from a note taking tool into a workflow layer that tries to finish the next steps after the visit. In practice, that means the same system that listens to the consult can now use patient context to pre chart, draft referral letters, generate care plans, rank open tasks, and handle in session admin actions, with some of these Heidi II features gated by geography, plan tier, and EHR setup rather than being universally on by default.1 2 3 4 5

  • The product shift is from copilot to light agent. Earlier Heidi features already turned a conversation into notes and follow up documents. Heidi II adds supervised actions around the visit itself, like referral automation and daily task prioritisation, so the output of the consult becomes the input for the next workflow step.1 2 4 5
  • This is where AI scribes now compete. Across the category, the main differentiator is no longer just transcript quality, it is how much admin work gets completed after the note, including orders, coding, referrals, and EHR tasks. Related research shows Freed, Abridge, and Ambience all expanding from documentation into broader workflow automation.2 3 6 7
  • Availability varying by region and subscription reflects healthcare distribution reality. Heidi says Heidi II is only available in certain regions and subscription types. Paid plans unlock unlimited Ask Heidi and agentic actions, while some integrations and plan options differ by region, including legacy or UK and EU specific Scribe availability.3 4 5 8

The next battleground is who becomes the action layer sitting between the clinician conversation and the EHR. As basic scribing gets bundled and cheaper, growth shifts to products that can reliably turn a finished note into completed admin work, with regional compliance, deeper integrations, and enterprise rollout deciding who scales fastest.2 4 6 7