AI medical scribes: Understanding who's out there

6 minute read
Delphine Groll

Delphine Groll

Cofounder & COO

Willow Scott

Willow Scott

Business Strategy

Last updated: November 23, 2023.

Feature table

We’ve done our best to represent ourselves and our fellow AI scribes as accurately as possible, with our sources linked. Please reach out if you see something that needs to be updated! We’re happy to make the change.

Real-time clinical note generation

Nabla, Ambience and Abridge all return clinical notes in real-time at the end of an appointment, with Ambience coming in “within seconds” as they say, Abridge over a minute thirty, and Nabla falling around 20 seconds.

Deepscribe’s note generation begins as soon as the encounter is ended, though their demo specifies that generation time is often several hours. You use the tool with other patients while the note is being generated.

Human scribe in the loop

Somewhat of a philosophical difference has developed among intelligent scribe companies. For some, including a human in the loop is an essential layer of quality assurance. For others, the clinician themselves is an irreplaceable part of the process.

For Deepscribe, AI-generated notes are passed through a step of human quality assurance, before being sent back to the clinician. Deepscribe’s model operates on the understanding that AI alone won’t complete tasks to the same standards as humans, thus each of their notes is reviewed by their team of human medical scribes. The whole process takes roughly a few hours.

In Nabla, Abridge and Ambience’s workflow, notes are generated and automatically available for review by the clinician, opting for a model that allows clinicians to add final touches — the insights that come only from having shared a space with the patient — before closing patient files immediately following each visit.

Note templates customized to your specialty & note-taking style

Note template customization is a big one: needs vary drastically between clinicians with their own note-taking styles and specialties that need significantly different medical information to be pulled out from encounters.

Ambience, Deepscribe, Abridge, and Nuance allow their users to customize their note templates.

At Nabla, we do too and provide many customization options such as: a wide variety of templates, problems splitting, sections styling, and template-specific instructions.

API integration into your existing tech stack

Let’s talk tech! Players have various approaches here: ranging from little to no integration capabilities to full integration into the platform you already use.

Nabla, Ambience, and Abridge support direct API integration into the tech stack you already use, both through existing partnerships with EHRs and telehealth solutions and direct integration with proprietary software. This allows for note-taking to be hosted within the workflow already in place.

Nuance DAX & Deepscribe don’t mention access to APIs on their sites.

Supports asynchronous care (chats, voice notes)

With the rise of digital healthcare, asynchronous chats and voice notes are increasingly used in hybrid and digital care models.

Nabla is capable of taking these asynchronous interactions and structuring notes from them. The same goes for Ambience.

Abridge is able to use audio files or transcriptions to generate notes through integration with their APIs. We found no mention of compatibility with asynchronous care on the Nuance or Deepscribe sites.

Medical Code Extraction

Though notes alone are certainly helpful for saving documentation time, we don’t think we need to tell you that most of the admin comes afterward.

Using Nabla, DAX Copilot, Abridge and Deepscribe, you will receive automatically suggested associated medical codes from encounter notes.

No Data Stored

It goes without saying that data privacy & security is central to any conversation around AI in healthcare. The stakes are high, so security has to be higher.

Nabla is the only solution that never stores user data: audio, transcript, and notes from encounters are only briefly stored in the browser of the clinician and patient information never touches Nabla’s servers.

In most intelligent documentation solutions, including Deepscribe, Abridge, DAX Copilot, and Ambience, ML models are trained based off of the storage of user data. Each applies varying privacy & security practices to ensure said data is secure.

They have put in place a range of security and privacy measures, including employing multi-factor authentication, applying HIPAA security standards and committing never to sell data.


We have represented pricing models to the best of our knowledge, based on websites, conversations with various sources, and this article. For 100% accuracy, you’ll have to directly contact each team.

According to our sources:

  • Nuance DAX Copilot currently falls at about $600 per seat per month
  • Ambience ranges from $2800 to $3200 per seat per year
  • Abridge comes in at $2500 per seat per year
  • Deepscribe’s pricing evades us!
  • Nabla is $119 per seat per month

Self onboarded

For those strapped for time (we’re talking to you, clinicians): there’s only one solution you can get started with without going through a demo. You can try Nabla from wherever you are, on any device, for free, by just clicking on this link.

Nuance, Ambience, Deepscribe, and Abridge all make it quite easy to request a demo or sign up for a group session through their websites.

Additional resources for your exploration

Don’t just take our word for it: