Evaluating the Impact of Ambient AI on Documentation Efficiency and Clinician Burnout in Primary … (NCT06605976) | Clinical Trial Compass
CompletedNot Applicable
Evaluating the Impact of Ambient AI on Documentation Efficiency and Clinician Burnout in Primary Care Settings
United States45 participantsStarted 2024-05-01
Plain-language summary
This clinical trial aims to evaluate the effectiveness of an ambient listening AI product, DAX CoPilot, in improving clinical documentation efficiency and reducing clinician burnout in primary care settings. Researchers will compare results from a group who was given a license to use DAX CoPilot to a group who was not given a license. Participants in the DAX group will use DAX CoPilot system for EHR documentation and participants in the control group will use use standard EHR documentation methods. Participants will also be asked to complete surveys and assessments related to their views on technology and experiences of burnout.
Who can participate
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion criteria
. Licensed Clinicians: Independently licensed clinicians (MDs, DOs, NPs, PAs) who have been actively practicing at Samaritan Health Services for at least 6 months.
. Primary Care Only: Providers must have a listed specialty of family medicine, internal medicine, or pediatrics, and currently practice primarily in a primary or urgent care clinic.
. Provider has an Apple iPhone and is willing to install Epic Haiku.
Exclusion criteria
. Inpatient-Only Clinicians: Exclude clinicians who only, or primarily, work in inpatient settings, as documentation needs and challenges may differ significantly from those in outpatient settings.
. Trainees: Exclude medical students and residents due to their varying levels of experience and dependence on supervisory oversight.
. Minimum Outpatient Encounters: Exclude clinicians with fewer than 100 outpatient encounters per month to focus on those with a significant workload in outpatient settings.
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
Documentation efficiency
Timeframe: From baseline to the end of the 3 month experimental period
. Android Smartphones Users: Clinicians may not use Android, or generally any non-Apple or non-iOS smartphones, given the software limitations of the selected intervention technology.