AI Tool for Reducing Clinician Burnout
(Evidently Trial)
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial aims to determine if an artificial intelligence (AI) tool, specifically the AI Clinical Summarization Tool (Evidently), can help outpatient specialists reduce paperwork by summarizing patient records. The study investigates whether this tool can decrease workload and improve the overall documentation experience for clinicians. Eligible participants include outpatient specialists at UNC who regularly see patients and do not have extended time away planned during the study. Researchers divide participants into two groups: one using the AI tool and another continuing with their usual documentation process. As an unphased trial, this study offers specialists the chance to explore innovative technology that could enhance their workflow and patient care.
Will I have to stop taking my current medications?
The trial does not involve patients or change medical care, so it does not specify any requirements about stopping current medications.
What prior data suggests that this AI tool is safe for clinicians?
Research has shown that the AI tool, Evidently, is safe for doctors to use. Studies have found that using AI to assist in writing hospital discharge notes is safe and reduces stress for doctors. Evidently is unlikely to harm patients or doctors. Many doctors reported feeling less stressed when using the tool, as it helped them manage their work better. Overall, healthcare providers have received the tool positively, finding it helpful.12345
Why are researchers excited about this trial?
Researchers are excited about the AI Clinical Summarization Tool, Evidently, because it has the potential to significantly reduce clinician burnout by streamlining the documentation process. Unlike traditional methods, which often involve time-consuming chart reviews and manual note-taking, Evidently uses advanced AI to automatically summarize patient data, allowing clinicians to focus more on patient care. This tool is integrated into the existing clinical workflow, making it a seamless addition to daily routines without requiring substantial changes in practice. The ease of onboarding with standardized training materials and optional personalization further enhances its appeal, paving the way for a more efficient and less stressful work environment for clinicians.
What evidence suggests that this AI tool is effective for reducing clinician burnout?
Research has shown that AI tools can help reduce doctors' workload. For example, one study found that an AI tool used by 162 doctors significantly reduced the time spent on electronic health records. This time-saving can greatly ease doctors' pressure. Another report noted that many doctors are eager to use AI tools to work more efficiently. Early feedback from doctors using similar tools indicates they appreciate the summarization feature, which allows more time for patient care and less on paperwork. In this trial, clinicians in the experimental arm will use the AI Clinical Summarization Tool (Evidently), which may enhance efficiency and reduce burnout.12678
Who Is on the Research Team?
Spencer Dorn, MD, MPH, MHA
Principal Investigator
University of North Carolina, Chapel Hill
Are You a Good Fit for This Trial?
This trial is for outpatient specialist doctors at UNC who work at least two half-days per week in a patient-facing specialty. It does not include patients and focuses only on clinicians' workflow.Inclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Randomization and Baseline
Eligible clinicians complete an eligibility and baseline survey and are randomized to either the intervention or control group
Intervention
Clinicians in the intervention arm receive access to the AI tool and undergo onboarding and training
Control
Clinicians in the control arm continue usual documentation practices without the AI tool
Follow-up
Participants complete a brief follow-up survey to assess outcomes such as workload and tool usability
What Are the Treatments Tested in This Trial?
Interventions
- AI Clinical Summarization Tool (Evidently)
Trial Overview
The study tests an AI tool called Evidently that summarizes medical records to help doctors spend less time on documentation. Doctors are randomly assigned to use the tool or continue their usual process before switching after eight weeks.
How Is the Trial Designed?
2
Treatment groups
Experimental Treatment
Active Control
Clinicians randomized to the intervention arm will receive access to a clinician-facing AI clinical summarization tool (Evidently) integrated into routine clinical workflow. The intervention includes standardized onboarding and training materials (e.g., an onboarding webinar or equivalent asynchronous training, tip sheets, and on-demand implementation support). Optional personalization may be available to clinicians but is not required for participation in the study.
Clinicians randomized to the control arm will continue usual chart review and documentation practices without access to the AI clinical summarization tool during the study period.
Find a Clinic Near You
Who Is Running the Clinical Trial?
University of North Carolina, Chapel Hill
Lead Sponsor
Citations
Case Studies
Ask Evidently has been a game-changer for our providers. It empowers clinicians with a chat tool that has already read the patient chart, letting them spend ...
AI Chart Summarization
Evidently was ranked the second most-requested tool Offcall's 2025 State of Physician's AI Report, with more requests than any other chart summarization tool or ...
Prospects for AI clinical summarization to reduce the burden of ...
In 2018, Deepmind came under fire again for migrating Streams, their clinical information management and decision support tool, to Google's ...
Evidently — AI-Assisted Clinical Data Intelligence for Every ...
Evidently was ranked the second most-requested tool Offcall's 2025 State of Physician's AI ... summarization tool or popular off-the-shelf AI. Read the full study ...
Application of artificial intelligence tools and clinical ... - PMC
Effect sizes were synthesized using standardized mean difference (SMD) under a random-effects model, with subgroup analyses by study design, AI tool type, task ...
6.
techtarget.com
techtarget.com/searchhealthit/news/366642890/Agentic-AI-discharge-summaries-linked-to-safety-clinician-wellbeingAgentic AI discharge summaries linked to safety, clinician ...
The AI summarization tool used in the study was also associated with reduced clinician burnout and modest time savings. The findings were ...
Use Cases
Evidently is a modern clinical intelligence platform that gives healthcare organizations superpowers. From H&P to CDI review, pre-charting, chart summarization, ...
8.
pubmed.ncbi.nlm.nih.gov
pubmed.ncbi.nlm.nih.gov/42101844/?utm_source=SimplePie&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1BId5KLeXKMhWphNSHFB_Qs_guSfHnmesbesfHOWb99Tf_6wu6&fc=20220523111005&ff=20260508171306&v=2.20.0Physician-Reported Safety Outcomes of AI-Generated ...
The intervention was associated with a reduction in physician burnout, supporting the viability of AI summarization to mitigate documentation ...
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