Clinical documentation · Production

Austin Regional Clinic automates clinical documentation with Notable

The problem

ARC clinicians spent hours per day on documentation, continuing into evenings and weekends, as increasing administrative burden left providers wrestling with the EHR instead of focusing on patients.

Workflow diagram · grounded in source

Pre-visit questionnaire sent to patient

trigger

“Notable provides patients with digital pre-visit intake questionnaires - personalized by medical history - to collect symptoms, medical history, and other relevant clinical information”

NLP generates clinical narrative

ai_action

“Using natural language processing, Notable transforms these inputs into a narrative history of present illness (HPI) and review of systems (ROS)”

Digital assistants populate Epic

integration

“Digital assistants, programmed to replicate EHR clicking and typing that would otherwise be performed by staff, automatically populate this note content into Epic”

Provider completes note via voice

human_review

“providers can access pre-populated note content in a mobile app, and use their voice to complete the note and place orders”

Orders queued for sign-off

output

“This updates the note and queues orders in the EHR that are ready for sign-off”

Reported outcome

ARC deployed Notable to automate documentation through digital pre-visit questionnaires and NLP-generated clinical notes, enabling providers to more quickly prepare for patient visits and complete notes via mobile voice input.

Reported metrics

Provider documentation timehours per day on documentation

Reported stack

Notablenatural language processingDigital assistantsEpic

Source

https://www.notablehealth.com/customer-stories/austin-regional-clinic-automates-clinical-documentation-with-notable

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

ARC deployed Notable to automate documentation through digital pre-visit questionnaires and NLP-generated clinical notes, enabling providers to more quickly prepare for patient visits and complete notes via mobile voi…

What tools did this team use?

Notable, natural language processing, Digital assistants, Epic.

What results were reported?

Provider documentation time: hours per day on documentation (source-reported, not independently verified).

How is this clinical documentation AI workflow structured?

Pre-visit questionnaire sent to patient → NLP generates clinical narrative → Digital assistants populate Epic → Provider completes note via voice → Orders queued for sign-off.