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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
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07456241
Enrollment
250
Registered
2026-03-06
Start date
2026-05-05
Completion date
2026-12-01
Last updated
2026-06-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Nursing Documentation Burden

Keywords

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

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.

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.

Interventions

OTHERArtificial 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

University of Wisconsin, Madison
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Intervention model description

The stepped wedge design involves staggered implementation of an intervention across different hospital units over multiple time periods, allowing all nursing staff within these units to eventually receive the intervention.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

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

Design outcomes

Primary

MeasureTime frameDescription
Change in Active Time Spent in Flowsheets per shift hourBaseline to 22 weeksTo assess a change in nursing staff documentation time, the change active time spent in flowsheets per shift hour with the use of the Ambient Listening tool versus usual documentation will be reported.

Secondary

MeasureTime frameDescription
Change in Active Time Spent in Flowsheets per patient per shiftBaseline to 22 weeksTo assess nursing staff documentation burden, the change in active time spent in flowsheets per patient shift will be reported.
Change in the number of clicks or taps in FlowsheetsBaseline to 22 weeksTo assess nursing staff documentation burden, the change in the number of clicks or taps in flowsheets will be reported.
Change in Amount of Overtime ChartingBaseline to 22 weeksTo assess nursing staff documentation burden, the change in time spent documenting after end time of assignment will be reported.
Change in Clinician Worklife Survey (Mini-Z) ScoreBaseline to 22 weeksProfessional Wellbeing will be assessed with the Mini Z 3.0, a 10 item tool (plus one open-ended question) designed to quickly assess clinician burnout, stress, satisfaction, and work-life drivers such as workload control, teamwork, and electronic health record (EHR) related stressors. The Mini Z survey is scored by summing responses to the first 10 items, each rated on a 1-5 Likert scale, producing a total score ranging from 10 to 50. Higher scores indicate better worklife conditions, with scores of 40 or above reflecting a "joyful" workplace.
Change in Mini-Z Subscale Scores: Supportive Work EnvironmentBaseline to 22 weeksProfessional Wellbeing will also be assessed with Mini Z subscales. One Mini-Z subscale measures supportive work environment with 7-items (scores range from 7-35, higher scores indicate more supportive environment).
Change in Mini-Z (3.0) Subscale Scores: EHR StressBaseline to 22 weeksProfessional Wellbeing will also be assessed with Mini Z subscales. One Mini-Z subscale measures EHR stress (scores range from 3-15, higher scores indicate more manageable EHR stress).
Change System Usability Scale (SUS)11 weeks to 22 weeksThe SUS is a 10-item scale that assesses perceived usability of a system, in this case, the Abridge Ambient Listening Tool. It yields a single score that can range from 0-100 with higher scores indicating higher system usability.

Countries

United States

Contacts

CONTACTAnn Wieben, PhD, RN
wieben@wisc.edu6082651029
CONTACTJann Pfaff, PhD, RN
jpfaff2@uwhealth.org
PRINCIPAL_INVESTIGATORAnn Wieben, PhD, RN

University of Wisconsin, Madison

PRINCIPAL_INVESTIGATORJann Pfaff, PhD, RN

University of Wisconsin, Madison

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 2, 2026