Clinical trial NCT06517082: Ambient AI for Provider Well-Being
Official title: An EHR-embedded Pragmatic Stepped-wedge Individual Randomized Clinical Trial of Ambient Artificial Intelligence to Improve Provider Well-Being
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Healthcare Provider Well-being
Keywords: Artificial Intelligence
Physician well-being
Healthcare provider
Lead sponsor: University of Wisconsin, Madison
Sponsor class: OTHER
First posted: 2024-07-24
Enrollment: 66
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Allocation: RANDOMIZED
Intervention model: PARALLEL
Intervention model description: The stepped wedge design involves staggered implementation of an intervention across different providers over multiple time periods, allowing all providers to eventually receive the intervention.
Primary purpose: HEALTH_SERVICES_RESEARCH

Brief summary: 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.

Detailed description: 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.

Eligibility criteria: 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

Primary outcomes:
measure: Change in provider fulfillment index
timeFrame: Baseline to weeks 6, 12, 18, and 24
measure: Change in provider burnout
timeFrame: Baseline to weeks 6, 12, 18, and 24
Secondary outcomes:
measure: Change in time spent on documentation outside work hours
timeFrame: Baseline to 24 weeks
measure: Change in task load
timeFrame: Baseline to 24 weeks
measure: Change in meaningfulness of work
timeFrame: Baseline to 24 weeks
measure: Change in meaningful relationships
timeFrame: Baseline to 24 weeks
Other outcomes:
Locations:
city: Madison
country: United States
facility: University of Wisconsin
state: Wisconsin
Study officials:
affiliation: University of Wisconsin, Madison
name: Majid Afshar, MD, MS
role: PRINCIPAL_INVESTIGATOR
affiliation: University of Wisconsin, Madison
name: Joel Gordon, MD
role: PRINCIPAL_INVESTIGATOR
References: