MedPath

Ambient AI for Provider Well-Being

Not Applicable
Active, not recruiting
Conditions
Healthcare Provider Well-being
Interventions
Other: Artificial Intelligence
Registration Number
NCT06517082
Lead Sponsor
University of Wisconsin, Madison
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.

Recruitment & Eligibility

Status
ACTIVE_NOT_RECRUITING
Sex
All
Target Recruitment
66
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

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
Ambient Listening Group 1Artificial IntelligenceParticipants randomized to this arm will start using Ambient AI at week 7.
Ambient Listening Group 2Artificial IntelligenceParticipants randomized to this arm will start using Ambient AI at week 13.
Ambient Listening Group 3Artificial IntelligenceParticipants randomized to this arm will start using Ambient AI at week 19.
Primary Outcome Measures
NameTimeMethod
Change in provider fulfillment indexBaseline 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 burnoutBaseline 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 Outcome Measures
NameTimeMethod
Change in meaningfulness of workBaseline 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 time spent on documentation outside work hoursBaseline 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 meaningful relationshipsBaseline 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.

Change in task loadBaseline to 24 weeks

Hours spent on documentation per 8 hours of scheduled patient time

Trial Locations

Locations (1)

University of Wisconsin

🇺🇸

Madison, Wisconsin, United States

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