Ambient AI for Burnout

Age: Any Age

Sex: Any

Trial Phase: Academic

Sponsor: University of Colorado, Denver

Disqualifiers: Trainees, PT/OT, ED, others

No Placebo Group All trial participants will receive the active study treatment (no placebo)

Compensation: Varies

Number of Visits: 4

232 Participants Needed

What You Need to Know Before You Apply

What is the purpose of this trial?

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.

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications.

Is Ambient AI for Burnout safe for humans?

The research articles discuss the potential of AI to improve patient safety by predicting and preventing adverse events, but they do not provide specific safety data for Ambient AI for Burnout or similar treatments. ^{1 2 3 4 5}

How does the Ambient AI treatment for burnout differ from other treatments?

Ambient AI for burnout is unique because it uses advanced technology like sensors and electronic coaching apps to help individuals manage stress and improve well-being. Unlike traditional treatments that may focus on therapy or medication, this approach leverages technology to provide personalized support and self-management tools. ^{6 7 8 9 10}

Are You a Good Fit for This Trial?

This trial is for clinicians experiencing burnout. Specific eligibility criteria are not provided, so it's assumed that any clinician feeling burnt out may be eligible to participate.

Inclusion Criteria

Clinician (physician, advance practice professional, or licensed mental health professional) employed by UCHealth

I own an iOS smartphone and agree to use the Epic Haiku app for clinic visits.

I see patients for at least three half-days a week without residents or fellows.

Exclusion Criteria

Trainees including residents and fellows

I require specialized care in physical therapy, emergency, maternal/fetal health, pediatrics, dental, or eye care.

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Implementation

Deployment of Abridge licenses to clinicians and evaluation of its impact on documentation time and burnout

8 months

Baseline, 2, 4, and 8 months

Follow-up

Participants are monitored for outcomes such as burnout, documentation time, and operational efficiency

8 months

Baseline, 2, 4, and 8 months

What Are the Treatments Tested in This Trial?

Interventions

• Abridge

Trial Overview The trial is testing Abridge AI, a new technology designed to help with documentation by listening and recording clinician-patient interactions directly into the electronic health record.

How Is the Trial Designed?

Group I: Assigned Abridge license Experimental Treatment 1 Intervention

Providers assigned a license

Group II: Control Active Control 1 Intervention

Providers not assigned a license or waitlisted

Who Is Running the Clinical Trial?

University of Colorado, Denver

Lead Sponsor

Trials

1,842

Recruited

3,028,000+

Published Research Related to This Trial

Physicians involved in adverse events often experience emotional distress, which significantly increases their risk of burnout, with an adjusted odds ratio of 1.90 for those affected.

Peer support is a crucial factor in reducing burnout among physicians after adverse events, as those who received such support had a lower risk of burnout (adjusted odds ratio of 0.65), highlighting the importance of fostering supportive environments in healthcare.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Multispecialty Physician Online Survey Reveals That Burnout Related to Adverse Event Involvement May Be Mitigated by Peer Support. Gupta, K., Rivadeneira, NA., Lisker, S., et al.[2023]

The study successfully extracted and analyzed data from 1,380 reports of rabbit Anti-Thymocyte Globulin (rATG) to identify safety patterns related to dosing, demonstrating the effectiveness of automated tools in data retrieval.

The analysis revealed that cumulative doses of rATG greater than 8 mg/kg were associated with an increased risk of post-transplant lymphoproliferative disorder (PTLD), highlighting a potential safety concern for higher dosing regimens.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Application of Natural Language Processing and Network Analysis Techniques to Post-market Reports for the Evaluation of Dose-related Anti-Thymocyte Globulin Safety Patterns. Botsis, T., Foster, M., Arya, N., et al.[2018]

Citations

1. Netherlands pubmed.ncbi.nlm.nih.gov

Contribution of human factors for the review of automatically detected ADE. [2017]

2. England pubmed.ncbi.nlm.nih.gov

The potential of artificial intelligence to improve patient safety: a scoping review. [2021]

3. United States pubmed.ncbi.nlm.nih.gov

Multispecialty Physician Online Survey Reveals That Burnout Related to Adverse Event Involvement May Be Mitigated by Peer Support. [2023]

4. United States pubmed.ncbi.nlm.nih.gov

Improving Patient Safety through Medical Alert Management: An Automated Decision Tool to Reduce Alert Fatigue. [2021]

5. Germany pubmed.ncbi.nlm.nih.gov

Application of Natural Language Processing and Network Analysis Techniques to Post-market Reports for the Evaluation of Dose-related Anti-Thymocyte Globulin Safety Patterns. [2018]

6. Austria pubmed.ncbi.nlm.nih.gov

[Burnout in general practitioners]. [2022]

7. Germany pubmed.ncbi.nlm.nih.gov

[Burnout : illness or symptom?]. [2021]

8. Russia (Federation) pubmed.ncbi.nlm.nih.gov

[Clinical manifestations of burnout]. [2019]

9. Switzerland pubmed.ncbi.nlm.nih.gov

Burnout Syndrome and Sleep Quality in Basic Education Teachers in Mexico. [2023]

10. Canada pubmed.ncbi.nlm.nih.gov

Deriving Requirements for Pervasive Well-Being Technology From Work Stress and Intervention Theory: Framework and Case Study. [2018]