250 Participants NeededMy employer runs this trial

AI for Charting Fatigue

AW
JP
Overseen ByJann Pfaff, PhD, RN
Age: 18+
Sex: Any
Trial Phase: Academic
Sponsor: University of Wisconsin, Madison
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial aims to determine if Ambient Artificial Intelligence (AI software) can reduce the time nurses spend on documentation and improve their overall job satisfaction. Nurses will use AI software to draft their notes, potentially speeding up the documentation process and reducing fatigue. The trial consists of three groups, each beginning to use the AI at different times. Nurses and nursing assistants working on the study's inpatient units, who speak English and have completed the necessary training, can participate, provided they do not have planned leave exceeding six weeks during the trial. As an unphased trial, this study offers participants the opportunity to contribute to innovative research that could enhance nursing efficiency and job satisfaction.

Do I have to stop taking my current medications for the trial?

The trial information does not specify whether you need to stop taking your current medications.

What prior data suggests that this AI is safe for nursing staff documentation?

Research has shown that Ambient AI technology is generally safe and well-received in healthcare settings. Studies have found that this AI tool significantly reduces the workload for healthcare providers without causing harm. One study reported a 70% improvement in work-life balance for healthcare workers using Ambient AI, suggesting it may help reduce stress and fatigue.

Moreover, Ambient AI has been associated with better patient safety. For instance, this technology has led to fewer patient falls and reduced the need for constant supervision. These findings indicate its safety in settings where it assists healthcare staff.

No reports have directly linked negative effects to the use of Ambient AI. The absence of negative reports, along with improvements in workplace efficiency and safety, supports its safety profile.12345

Why are researchers excited about this trial?

Researchers are excited about the trial of Ambient AI for charting fatigue because it introduces an innovative approach to easing the workload of nursing staff. Unlike traditional methods that rely heavily on manual charting and documentation, Ambient AI uses advanced listening technology to automatically capture and record data. This not only reduces the time and effort nurses spend on paperwork but also minimizes human error, potentially leading to more accurate patient records. By seamlessly integrating into the hospital environment, Ambient AI aims to alleviate fatigue and improve overall staff efficiency, which could transform the way hospitals manage patient information.

What evidence suggests that using Ambient AI for nursing documentation could be effective in reducing charting fatigue?

Studies have shown that Ambient AI can significantly reduce burnout among healthcare workers. One study found that using Ambient AI assistants lowered burnout rates from 51.9% to 38.8% in just 30 days. Another report noted that healthcare providers felt less tired and completed less paperwork after hours. Early data suggests that Ambient AI can save time and slightly improve patient experience scores. In this trial, different groups will begin using Ambient AI at staggered intervals to assess its impact on fatigue and well-being. Overall, evidence indicates that Ambient AI helps reduce stress and improve the well-being of healthcare staff.678910

Who Is on the Research Team?

AW

Ann Wieben, PhD, RN

Principal Investigator

University of Wisconsin, Madison

JP

Jann Pfaff, PhD, RN

Principal Investigator

University of Wisconsin, Madison

Are You a Good Fit for This Trial?

This trial is for English-speaking registered nurses and nursing assistants working on specific inpatient units who are willing to use ambient AI technology and have completed the required training.

Inclusion Criteria

* Willingness to engage and use ambient technology
* English speaking
* All Registered Nurses and Nursing Assistants with the study inpatient units
See 1 more

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Implementation

Nursing staff begin using Ambient AI software in a stepped-wedge design, with different groups starting at weeks 8, 12, and 16

8 weeks
Ongoing implementation in clinical setting

Evaluation

Assessment of changes in documentation time, workload, and professional wellbeing using various measures

11 weeks to 27 weeks

Follow-up

Participants are monitored for changes in documentation practices and professional wellbeing

4 weeks

What Are the Treatments Tested in This Trial?

Interventions

  • Ambient AI

Trial Overview

The study tests whether using Ambient Listening AI software can help nurses and nursing assistants spend less time on documentation, aiming to improve their wellbeing. Participants will use this AI tool during their regular charting tasks.

How Is the Trial Designed?

3

Treatment groups

Experimental Treatment

Group I: Ambient Listening Group 3Experimental Treatment1 Intervention
Group II: Ambient Listening Group 2Experimental Treatment1 Intervention
Group III: Ambient Listening Group 1Experimental Treatment1 Intervention

Find a Clinic Near You

Who Is Running the Clinical Trial?

University of Wisconsin, Madison

Lead Sponsor

Trials
1,249
Recruited
3,255,000+

Citations

Use of Ambient AI Scribes to Reduce Administrative Burden ...

After 30 days with the ambient AI scribe, the proportion of participants experiencing burnout decreased significantly from 51.9% to 38.8% (odds ...

Studies suggest ambient AI saves time, reduces burnout ...

Early internal survey data shows overall modest but steady improvements in patient-experience scores among clinicians who use ambient AI.

(PDF) AI Fatigue and Mental Health Implications

AI fatigue is a serious and measurable problem, but it can be managed with the right approach. The review clearly shows that preventing this ...

Are ambient AI tools the key to reducing physician burnout?

After using the tool, providers reported less burnout, lower cognitive burden, less after-hours documentation, and an increased ability to stay ...

Ambient Documentation Technology in Clinician Experience ...

Some studies have shown improvements in burnout but not professional fulfillment. Others have shown improvements in clinician disengagement but ...

Impact of Ambient Artificial Intelligence Documentation on ...

Our study reports that using an ambient AI platform significantly reduces this burden, addressing a critical issue impacting both health care providers and ...

AI Outcomes Snapshot: WellSpan's Ambient Monitoring

This cost-saving solution has reduced patient fall rates and 1:1 sitter hours while enhancing overall patient safety. Related Insights ...

Ambient intelligence–based monitoring of staff and patient ...

To assess the feasibility of using Ambient Intelligence to track and quantify allpatient and caregiver activity within a bedspace over the course of an ICU ...

AI for Charting Fatigue · Info for Participants

The goal of this clinical trial is to learn whether using Ambient Artificial Intelligence for nursing staff documentation in an inpatient ...

Ambient AI didn't just “capture a moment.” Susan Grant, CCO ...

A nurse recognized distress. Paused. Honored the patient's beliefs. Created safety. And AI translated that into measurable, documented care.