NCT07456241

Ambient AI for Reducing Nursing Staff Documentation Time

An EHR-Embedded Pragmatic Stepped-Wedge Clinical Trial of Ambient Artificial Intelligence to Reduce Nursing Staff Documentation Time

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 250 (estimated)
• Sponsor: University of Wisconsin, Madison · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

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.

Detailed description

This pragmatic trial is being conducted to test the effectiveness of Artificial Intelligence Driven Ambient Listening software on reducing time in flowsheet documentation among Registered Nurses (RNs) and nursing assistants (NAs) in an inpatient setting. The Ambient AI software uses Automated Speech Recognition technology with Large Language Models to automatically generate discrete flowsheet values from nurse-patient conversations in real-time. The clinical trial is an examination of the impact and usability of this implementation on the workload and well-being of nurses involved in the rollout of the software pragmatic Electronic Health Record embedded design integrated into clinical workflows and the health system IT infrastructure.

Conditions

• Nursing Documentation Burden

Interventions

Type	Name	Description
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

Timeline

• Start date: 2026-05-01
• Primary completion: 2026-12-01
• Completion: 2026-12-01
• First posted: 2026-03-06
• Last updated: 2026-04-16

Locations

1 site across 1 country: United States