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Ambient AI for Reducing Nursing Staff Documentation Time

NCT07456241 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 250

Last updated 2026-05-15

No results posted yet for this study

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

Interventions

OTHER

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

Sponsors & Collaborators

  • University of Wisconsin, Madison

    lead OTHER

Principal Investigators

  • Ann Wieben, PhD, RN · University of Wisconsin, Madison

  • Jann Pfaff, PhD, RN · University of Wisconsin, Madison

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-05-05
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07456241 on ClinicalTrials.gov