Clinician ExperienceNCT06778148
Abridge AI Pilot Test
A study testing Ambient AI for clinician documentation in people with Clinician Experience and Clinician Burnout, run by University of Colorado, Denver at 1 site in United States.
Trial summary
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. Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- Conditions the study is for
- Clinician Experience, Clinician Burnout
- What is being tested?
- Ambient AI for clinician documentation
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 232 participants
- Where
- 1 siteUnited States
- Study dates
- 13 Jan 2025to 31 Dec 2025
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Who may be able to join
- -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
Who cannot join
- Trainees including residents and fellows
- PT/OT, ED, maternal/fetal, pediatric, dental, eye specialties
Trial locations and contacts
1 site in 1 country.
About this study
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.
Read the detailed 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:
- Determine if Abridge meaningfully impacts clinician documentation time and burnout or stress
- 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.
- Conditions
- Clinician Experience, Clinician Burnout
- Being tested
- Ambient AI for clinician documentation
- Keywords
- Ambient AI, Clinician burnout
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Ambient AI for clinician documentationOther
Also called Abridge
Ambient AI for clinician documentation
| Study group | Role | What they receive |
|---|---|---|
| Assigned Abridge license | Experimental | Providers assigned a license Receives: Other: Ambient AI for clinician documentation |
| Control | No intervention | Providers not assigned a license or waitlisted |
What is being measured
The primary outcome is the main question the study is designed to answer.
Burnout - High emotional exhaustion
Validated measure collected by survey. Reference: https://pmc.ncbi.nlm.nih.gov/articles/PMC3475833/
Measured: Baseline, 2, 4 and 8 months
Burnout - High depersonalization
Validated measure collected by survey. Reference: https://pmc.ncbi.nlm.nih.gov/articles/PMC3475833/
Measured: 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/
Measured: Baseline, 2, 4 and 8 months
Time in notes per appointment
Collected via EHR signal data
Measured: Baseline, 2, 4 and 8 months
Adoption
Percent of eligible visits in which intervention is used. Collected via EHR data
Measured: 2, 4 and 8 months
Secondary outcomes (5)
Reach
Proportion and representativeness of eligible patients and visits intervention was used for
Measured: 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
Measured: 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
Measured: Baseline, 2, 4 and 8 months
Operational efficiency
Same day note closure, average note star rating, average note turn around time
Measured: Baseline, 2, 4 and 8 months
Adoption
Abandonment rate and representativeness
Measured: 2, 4 and 8 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted16 Jan 2025
- Study start13 Jan 2025
- Primary completion13 Jul 2025 (estimated)
- Study completion31 Dec 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Clinician ExperienceStudies of the same condition, open and under way.
- More trials run by University of Colorado, DenverThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Randomized controlled trial with waitlist
- Masking
- None (open label)
- Enrolment
- 232 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University of Colorado, Denver
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06778148
- Sponsor's protocol ID
- 24-1623
- Status last verified
- Jan 2025
- First submitted
- 10 Jan 2025
- Last updated
- 20 Jan 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Unsure if the third party owner of Abridge will allow sharing
Study at a glance
From the registry record, last updated by the sponsor on 20 Jan 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Abridge AI Pilot Test
- ClinicalTrials.gov ID
- NCT06778148
- Acronym / sponsor ID
- 24-1623
- Conditions
- Clinician Experience, Clinician Burnout
- Keywords
- Ambient AI, Clinician burnout
- Study type
- Interventional
- Recruitment status
- Active, not recruiting
- Enrolment
- 232 participants (estimated)
- Lead sponsor
- University of Colorado, DenverUniversity, hospital or other
- Study start
- 13 Jan 2025 (actual)
- Primary completion
- 13 Jul 2025 (estimated)
- Study completion
- 31 Dec 2025 (estimated)
- First posted
- 16 Jan 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed 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:
- Determine if Abridge meaningfully impacts clinician documentation time and burnout or stress
- 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 design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- Randomized controlled trial with waitlist
| Arm | Type | Receives |
|---|---|---|
| Assigned Abridge license | Experimental | Other: Ambient AI for clinician documentationProviders assigned a license |
| Control | No intervention | –Providers not assigned a license or waitlisted |
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (3 listed)
- -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
Key exclusion criteria (2 listed)
- Trainees including residents and fellows
- PT/OT, ED, maternal/fetal, pediatric, dental, eye specialties
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Ambient AI for clinician documentationAlso: AbridgeAmbient AI for clinician documentation | Other | Assigned Abridge license |
Primary outcome
Burnout - High emotional exhaustion
Time frame: Baseline, 2, 4 and 8 months
Validated measure collected by survey. Reference: https://pmc.ncbi.nlm.nih.gov/articles/PMC3475833/
Burnout - High depersonalization
Time frame: Baseline, 2, 4 and 8 months
Validated measure collected by survey. Reference: https://pmc.ncbi.nlm.nih.gov/articles/PMC3475833/
Burnout - emotional exhaustion and depersonalization
Time frame: Baseline, 2, 4 and 8 months
Validated measure collected by survey. Reference: https://pmc.ncbi.nlm.nih.gov/articles/PMC3475833/
Time in notes per appointment
Time frame: Baseline, 2, 4 and 8 months
Collected via EHR signal data
Adoption
Time frame: 2, 4 and 8 months
Percent of eligible visits in which intervention is used. Collected via EHR data
5 secondary outcomes
Reach
Time frame: 2, 4 and 8 months
Clinician experience
Time frame: Baseline, 2, 4 and 8 months
Time documenting
Time frame: Baseline, 2, 4 and 8 months
Operational efficiency
Time frame: Baseline, 2, 4 and 8 months
Adoption
Time frame: 2, 4 and 8 months
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 20 Jan 2025.
- Individual participant dataSharing planned: No. Unsure if the third party owner of Abridge will allow sharing
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Ambient AI for clinician documentation in people with Clinician Experience and Clinician Burnout, run by University of Colorado, Denver at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 20 Jan 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Burnout - High emotional exhaustion (time frame: Baseline, 2, 4 and 8 months). The study lists 5 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 20 Jan 2025; AzTrials last refreshed its copy on 29 Oct 2026.