Abridge AI Pilot Test

University of Colorado Denver (CU Denver)

Status: Active, not recruiting

Conditions: Clinician Experience; Clinician Burnout

Treatments: Other: Ambient AI for clinician documentation

Study type: Interventional

Funder types: Other

Identifiers

NCT06778148

24-1623

Details and patient eligibility

About

We are piloting a new technology (Abridge) that uses artificial intelligence to listen to clinician-patient office visits and then document the interaction in the electronic health record.

Full description

This study will evaluate pilot implementation of the Abridge Artificial Intelligence (AI) Platform (Abridge) in UCHealth clinics. Abridge licenses will be deployed to 116 physician and advanced practice clinicians to accomplish the following goals:

1. Determine if Abridge meaningfully impacts clinician documentation time and burnout or stress
2. Determine whether to scale Abridge beyond the pilot

We will evaluate clinician experiences using Abridge, particularly with regard to documentation time and clinician burnout or stress. Study findings will explore value added in integrating Abridge into clinician practice, and guide decision-making for entering into a commercial agreement with Abridge. This pilot will also inform best practices for scaling Abridge to a broader user base across UCHealth outpatient practices.

Enrollment: 232 estimated patients

Sex: All

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

-clinician (physician, advance practice professional, or licensed mental health professional) employed by UCHealth

• See clinic patients at least three half-day sessions per week. (Half-day sessions seeing or supervising patients with residents and fellows will NOT count toward the weekly total. Half-day sessions seeing patients with a medical student CAN count toward the weekly total, however, Abridge can only capture conversations where you are physically present with patients.)
• Own an iOS smartphone and be willing to download and use the Epic Haiku smartphone app during clinic visits

Exclusion criteria

• Trainees including residents and fellows
• PT/OT, ED, maternal/fetal, pediatric, dental, eye specialties

Trial design

Primary purpose: Other

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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232 participants in 2 patient groups

Assigned Abridge license

Experimental group

Description:

Providers assigned a license

Treatment:

Other: Ambient AI for clinician documentation

Control

No Intervention group

Description:

Providers not assigned a license or waitlisted