Abridge AI Pilot Test

N/AActive Not RecruitingNCT06778148

University of Colorado, Denver232 enrolled

Overview

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.

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.

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

OTHER

Masking

NONE

Enrollment

232

Conditions

Clinician Experience Clinician Burnout

Interventions

Ambient AI for clinician documentationOTHER

Ambient AI for clinician documentation

Eligibility

Sex: ALLHealthy volunteers:

Medical Language ↔ Plain English

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

Locations (1)

UCHealth

Aurora, Colorado, United States

Outcomes

Primary Outcomes

Burnout - High emotional exhaustion

Validated measure collected by survey. Reference: https://pmc.ncbi.nlm.nih.gov/articles/PMC3475833/

Time frame: Baseline, 2, 4 and 8 months

Burnout - High depersonalization

Validated measure collected by survey. Reference: https://pmc.ncbi.nlm.nih.gov/articles/PMC3475833/

Time frame: Baseline, 2, 4 and 8 months

Burnout - emotional exhaustion and depersonalization

Validated measure collected by survey. Reference: https://pmc.ncbi.nlm.nih.gov/articles/PMC3475833/

Time frame: Baseline, 2, 4 and 8 months

Time in notes per appointment

Collected via EHR signal data

Time frame: Baseline, 2, 4 and 8 months

Adoption

Percent of eligible visits in which intervention is used. Collected via EHR data

Time frame: 2, 4 and 8 months

Secondary Outcomes

Reach

Proportion and representativeness of eligible patients and visits intervention was used for

Time frame: 2, 4 and 8 months

Clinician experience

Likelihood to recommend via validated NPS, qualitative drivers of experience, likelihood to change jobs, Weiners feasiblity/implementability/acceptability, system usability scale

Time frame: Baseline, 2, 4 and 8 months

Time documenting

Data from ClinicalTrials.gov

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