Recruiting

Ambient AI

Sponsor:

University of Wisconsin, Madison

Code:

NCT07456241

Conditions

Nursing Documentation Burden

Eligibility Criteria

Sex: All

Age: 18+

Healthy Volunteers: Accepted

Interventions

Artificial Intelligence

Study Details

Brief summary:

The goal of this clinical trial is to learn whether using Ambient Artificial Intelligence for nursing staff documentation in an inpatient setting will reduce the time spent in flowsheet documentation and enhance nurse staffing wellbeing.

Participants will use Ambient Listening AI software to draft documentation in discrete fields.

Conditions

Nursing Documentation Burden

Study ID

NCT07456241

Start date

May 5, 2026

Status verified date

May, 2026

Completion date

Dec, 2026

Anticipated

Primary completion date

Dec, 2026

Anticipated

Eligibility Criteria

Eligibility Criteria

Sex: All

Age: 18+

Healthy Volunteers: Accepted

Inclusion Criteria:

  • Willingness to engage and use ambient technology
  • English speaking
  • All Registered Nurses and Nursing Assistants with the study inpatient units
  • Attest to completing all required training

Exclusion Criteria:

  • Planned leave more than 6 weeks during study timeframe

Study Design

Enrollment

250 participants

Anticipated

Allocation

Randomized

Intervention Model

Parallel Assignment

Primary purpose

Health Services Research

Interventions and Outcome Measures

Arms

experimental: Ambient Listening Group 1

The hospital unit will be randomized and all nursing staff within the unit will have access to start using Ambient AI at week 8.

experimental: Ambient Listening Group 2

The hospital unit will be randomized and all nursing staff within the unit will have access to start using Ambient AI at week 11.

experimental: Ambient Listening Group 3

The hospital unit will be randomized and all nursing staff within the unit will have access to start using Ambient AI at week 14.

Interventions

Artificial Intelligence

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

Primary outcome measure

  • Change in Active Time Spent in Flowsheets per shift hour [ Time Frame: Baseline to 22 weeks ]

Central Contacts and Locations

Central contacts

Ann Wieben, PhD, RN

6082651029wieben@wisc.edu

Jann Pfaff, PhD, RN

jpfaff2@uwhealth.org

Locations

UW Health - East Madison Hospital

Recruiting

Madison, Wisconsin, United States, 53718

More Information

Sponsor

University of Wisconsin, Madison

Last update posted

Jun 1, 2026

Last verified

May, 2026

Keywords

  • Artificial Intelligence
  • Ambient Listening
  • Nursing
  • Nursing Staff
  • Documentation Burden
  • Nursing Staff Well Being

Trial information was received from ClinicalTrials.gov and was last updated on 2026-09-10. This information was provided to ClinicalTrials.gov by University of Wisconsin, Madison on 2026-06-01.