An interventional study of Ambient AI for clinician documentation in Clinician Experience and Clinician Burnout, sponsored by University of Colorado, Denver. Active, not recruiting at 1 site in United States. Per ClinicalTrials.gov, last updated 2025-01-20.
Sponsored by University of Colorado, Denver · Not applicable, Interventional, and Other
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:
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.
442 studies on the registry are indexed under Burnout, Psychological; 106 are open to participants now.
This study's planned enrollment of 232 is above the median of 80 across 319 interventional studies indexed under Burnout, Psychological.
Browse Burnout, Psychological studies →University of Colorado, Denver is the lead sponsor of 1,499 studies on the registry; 315 are open to participants now.
Of its 139 completed or terminated interventional studies of FDA-regulated products, 89 (64%) have results posted.
Counted across the registry records on this site, refreshed daily.
-clinician (physician, advance practice professional, or licensed mental health professional) employed by UCHealth
Exclusion Criteria:
Providers assigned a license
Other: Ambient AI for clinician documentation
Providers not assigned a license or waitlisted
Ambient AI for clinician documentation
Also known as: Abridge
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
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
Time spent documenting beyond appointment, average time in the EHR, time of last log out of the day, pajama time documenting
Time frame: Baseline, 2, 4 and 8 months
Operational efficiency
Same day note closure, average note star rating, average note turn around time
Time frame: Baseline, 2, 4 and 8 months
Adoption
Abandonment rate and representativeness
Time frame: 2, 4 and 8 months
Plan to share: No — Unsure if the third party owner of Abridge will allow sharing
No publications or documents are linked to this record.
This study is active, not recruiting, as verified in Jan 2025. You cannot join it, but the record below documents what was studied.
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University of Colorado, Denver