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
- Nursing Documentation Burden
At a glance
- Phase
- Phase not stated
- Study type
- Interventional
- Sponsor
- University of Wisconsin, Madison
- Enrolment target
- 250
- Started
- 5 May 2026
- Main results due
- 28 September 2026
- Study sites
- 1
- Registry updated
- 24 September 2026
Can you take part?
- Aged 18 years and over.
- Open to any sex.
- Healthy volunteers can take part.
These are the headline rules only. Every study has a longer list, and whether you are eligible is decided by the research team at the site — never by this page.
Read the full eligibility criteria
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
What this study is about
In the sponsor’s own words, from the registry.
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.
Study sites(1)
UW Health - East Madison Hospital
Madison, Wisconsin, United States
Recruiting
Showing 1 of 1 sites. 1 of the 1 site on this study is recruiting right now — a site can stop enrolling while the study as a whole is still open.
Source: ClinicalTrials.gov record NCT07456241. Trialion does not run this study, is not paid to refer anyone to it, and cannot enrol you. Eligibility is always decided by the research team at the site.
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