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NCT Number: NCT07456241

Ambient AI for Reducing Nursing Staff Documentation Time

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.

Recruiting

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

UW Health - East Madison Hospital

Madison, Wisconsin, 53718, United States

Location status: Recruiting

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Artificial intelligence

Other

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 outcomes

  1. Change in Active Time Spent in Flowsheets per shift hour

    Time frame: Baseline to 22 weeks

    To 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 outcomes

  1. Change in Active Time Spent in Flowsheets per patient per shift

    Time frame: Baseline to 22 weeks

    To assess nursing staff documentation burden, the change in active time spent in flowsheets per patient shift will be reported.

  2. Change in the number of clicks or taps in Flowsheets

    Time frame: Baseline to 22 weeks

    To assess nursing staff documentation burden, the change in the number of clicks or taps in flowsheets will be reported.

  3. Change in Amount of Overtime Charting

    Time frame: Baseline to 22 weeks

    To assess nursing staff documentation burden, the change in time spent documenting after end time of assignment will be reported.

  4. Change in Clinician Worklife Survey (Mini-Z) Score

    Time frame: Baseline to 22 weeks

    Professional 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.

  5. Change in Mini-Z Subscale Scores: Supportive Work Environment

    Time frame: Baseline to 22 weeks

    Professional 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).

  6. Change in Mini-Z (3.0) Subscale Scores: EHR Stress

    Time frame: Baseline to 22 weeks

    Professional 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).

  7. Change System Usability Scale (SUS)

    Time frame: 11 weeks to 22 weeks

    The 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.

Study contacts

Contact information is provided by the study sponsor or research team.

Ann Wieben, PhD, RN

CONTACT

[email protected]

6082651029

Jann Pfaff, PhD, RN

CONTACT

[email protected]

Sponsors and collaborators

Lead sponsor

University of Wisconsin, Madison

Other

Registry information

Official study title

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

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Mar 6, 2026
Registry last updated
Jun 1, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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