Completed

NCT Number: NCT06517082

Ambient AI for Provider Well-Being

The goal of this clinical trial is to learn whether using Ambient Artificial Intelligence for provider documentation will enhance provider well-being and improve documentation quality.

Participants will complete their documentation using the Ambient AI software.

Completed

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Key information

Conditions

Healthcare Provider Well-being

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

University of Wisconsin

Madison, Wisconsin, 53705, United States

About this study

Provider documentation of patient visits is a time-consuming activity that extends throughout the workday and often continues outside office hours. This ongoing clerical burden negatively impacts provider well-being, contributing to burnout and job dissatisfaction.

To address these challenges, the researchers propose to test the effectiveness of the Ambient AI tool in improving provider fulfillment and note documentation efficiency. The overarching goal is to leverage AI technology to enhance provider well-being and documentation quality.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Healthcare Provider in the UW Health Outpatient Clinic Setting
Willingness to engage and use ambient technology
Owns an Apple mobile device, as the software is accessible only on this platform
Adult (greater than 18 years)
English or Spanish speaking
Completed the training and in-servicing required to use the tool
Providing outpatient care to no less than 20 encounters on a weekly average

Exclusion criteria

Planned leave in 6 weeks following randomization
Not registered onto Epic's mobile Haiku system for access
Enrolled in a virtual scribe program and not willing to leave the program

Treatment and study plan

Artificial intelligence

Other

Ambient AI software intervention is implemented into the providers workflow. The software incorporates Automated Speech Recognition technology with Large Language Models to generate clinical documentation in real-time.

Primary outcomes

Change in provider fulfillment index

Time frame: Baseline to weeks 6, 12, 18, and 24

Using the Professional Well-Being Academic Consortium Survey Measures, the fulfillment index is a 6-item questionnaire. Each question is scored on a 0-4 Likert scale, with total possible scores of 0-24. Higher scores indicate greater fulfillment
Change in provider burnout

Time frame: Baseline to weeks 6, 12, 18, and 24

Using the Professional Well-Being Academic Consortium Survey Measures, the burnout index includes two subcomponents of work exhaustion and interpersonal disengagement. It is a 10-item questionnaire, scored together as a composite. Each question is scored on a 0-4 Likert scale, with a total possible range of 0-40. Higher scores indicate greater burnout, indicating lower well-being

Secondary outcomes

Change in time spent on documentation outside work hours

Time frame: Baseline to 24 weeks

Providers will track amount of time spent on EHR (electronic health records) outside of scheduled patient hours per 8 hours of patient scheduled time
Change in task load

Time frame: Baseline to 24 weeks

Hours spent on documentation per 8 hours of scheduled patient time
Change in meaningfulness of work

Time frame: Baseline to 24 weeks

Meaningfulness of work is a 4-item questionnaire, where each question is scored on a 0-4 Likert scale. Total possible scores range from 0-16, with higher scores indicating lower sense of meaningfulness of work.
Change in meaningful relationships

Time frame: Baseline to 24 weeks

Using the Professional Well-Being Academic Consortium Survey Measures, the negative impact of work on relationships index is a 4-item questionnaire. Each question is scored on a 0-4 Likert scale, with total possible scores ranging from 0-16. Higher scores indicate less meaningful relationships.

Sponsors and collaborators

Lead sponsor

University of Wisconsin, Madison

Other

Registry information

Official study title

An EHR-embedded Pragmatic Stepped-wedge Individual Randomized Clinical Trial of Ambient Artificial Intelligence to Improve Provider Well-Being

Important dates

Study start: 2024
Primary completion: 2025
Study completion: 2025
First posted: Jul 24, 2024
Registry last updated: May 30, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.