The Impact of AI Scribes on Clinicians’ Electronic Health Record Time: Initial Results from the Multisite Ambient Clinical Documentation Collaborative

2025 Clinical Informatics Conference On Demand

2025 Clinical Informatics Conference 25x5 Presentation

Presentation Time: 10:45 AM - 11:00 AM

Abstract Keywords: Ambient documentation, Documentation Burden, Workflow Efficiency
Primary Track: Documentation Burden, Clinician Well-Being and Care Outcomes
Programmatic Theme: Emerging Technology and Technical Infrastructure

Time on the electronic health record (EHR) is associated with burnout among physicians. While human scribes have been shown to reduce EHR time, there are cost and person-power limitations to scaling their use. Given these limitations, healthcare organizations across the United States are now testing the ability of artificial intelligence-powered scribes to ease documentation burden while enhancing the clinician experience.

The Ambient Clinical Documentation Collaborative is a consortium of healthcare organizations across the United States that have adopted AI scribes and use Epic Systems as their EHR. Sites include the Geisinger Health System, Emory Healthcare, Mass General Brigham, New York University, the University of California at San Francisco, the University of California at Davis, the University of California at San Diego, the University of Rochester, and Yale New Haven Health System/Yale Medicine.

In this study of Collaborative participants, we describe the range of settings and ways in which AI scribes are being implemented, their impact on physicians’ EHR time, and the factors associated with significant time benefits of AI scribe technology. Our preliminary results suggest variability in the implementation of AI scribe technology across the large healthcare systems represented. AI scribes are most commonly being used in the outpatient setting, and early analyses suggest the benefits of AI scribe technology for reducing clinicians’ EHR time expenditure and improving documentation efficiency, with some variability across vendors. These results can guide clinical and information technology leaders in their AI scribe implementation approaches.
Speaker(s):
Lisa Rotenstein, MD, MBA, MSc
UCSF

Author(s):

Comparative Case Study on Implementing Generative AI in Medical Practices to Ease Documentative Overburden: A Sociotechnical Systems Perspective

2025 Clinical Informatics Conference On Demand

2025 Clinical Informatics Conference 25x5 Presentation

Presentation Time: 11:00 AM - 11:15 AM

Abstract Keywords: Artificial Intelligence/Machine Learning, Clinician Burnout, Documentation Burden, Ambient documentation, Disruptive and Innovative Technologies
Primary Track: AI and Care Outcomes
Programmatic Theme: Usability, Efficiency, and User Experience

This is a comparative case study of a live implementation of Generative AI solution in 5 medical practices. We shed new light on the impact of Generative AI on various aspects such as social structures, roles, organizational processes, and technical systems of medical practices. It is well known now that increasing documentation burden on physicians has led to medical errors, patient safety concerns, and physician burnout. This study investigates the adoption and implementation of a Generative AI based clinical documentation technology in medical practices over a span of 5 months. Our data consisted of interviews, participant observations, process documentation and mapping, tracking social interactions, and analyzing textual user feedback data. The results reveal a process framework that can be generalized across medical practices, categorizing changes into social, technical, organizational, and goals & outcomes. The implementation of Generative AI has led to both tangible and intangible benefits, including the creation of a new role of Scribe to provide human oversight of AI-generated clinical documentation. Resistance and apprehensions from practice staff have impacted implementation speed and decision-making. The study emphasizes the importance of considering social and organizational process changes in the adoption of new technologies and identifies role re-reforming and triadic co-creation as key concepts. The study also includes an entrepreneur’s and emerging technology product implementation team’s experiences of the co-creation with the medical practices. Overall, this research provides a processual framework to capture the nuances of the adoption and co-evolution of an emergent and uncertain technology.
Speaker(s):
Sri Ramesh Eevani, Doctorate in Business Administration
Healthfirst

Author(s):
Sri Ramesh Eevani, Doctorate in Business Administration - Healthfirst; Rajiv Nag, Dr - Drexel University;

Clinician Personas for Ambient Artificial-Intelligence Scribing Documentation

2025 Clinical Informatics Conference On Demand

2025 Clinical Informatics Conference 25x5 Presentation

Presentation Time: 11:15 AM - 11:30 AM

Abstract Keywords: Ambient documentation, Usability and Measuring User Experience, Documentation Burden
Primary Track: Documentation Burden, Clinician Well-Being and Care Outcomes
Programmatic Theme: Emerging Technology and Technical Infrastructure

Ambient documentation, also known as AI-based scribes, is being used by healthcare systems to address documentation burden. Understanding clinician phenotypes for ambient documentation would allow implementation teams to determine clinicians who would benefit from the technology. We will present personas for adoption of ambient documentation derived from interview and survey data of our ambient documentation users.
Speaker(s):
Julie Wang, BS
Harvard Medical School

Author(s):
Jacqueline You, MD - Mass General Brigham; Julie Wang, BS - Harvard Medical School; Jonathan Letourneau, MDes - Mass General Birgham; Gabrielle Choo-Kang, MS - Mass General Brigham; Amanda Centi, PhD - Mass General Brigham; Esther Kim, ScD - Mass General Brigham; Cordula Magee, BA - Mass General Brigham; Brian Lang, BBA - Mass General Brigham; Laura Angelo, BA - Mass General Brigham; Adam Landman, MD - Mass General Brigham; David Ting, MD - Massachusetts General Hospital; Rebecca Mishuris, MD, MS, MPH - Mass General Brigham;

Rejuvenating Clinician Wellbeing with Ambient Documentation

2025 Clinical Informatics Conference On Demand

2025 Clinical Informatics Conference 25x5 Presentation

Presentation Time: 11:30 AM - 11:45 AM

Abstract Keywords: Clinician Burnout, Documentation Burden, Ambient documentation, Artificial Intelligence/Machine Learning, Change Management
Primary Track: Documentation Burden, Clinician Well-Being and Care Outcomes
Programmatic Theme: Emerging Technology and Technical Infrastructure

Mass General Brigham and Emory Healthcare both piloted ambient documentation, AI-assisted scribing, at their respective institutions. Preliminary results show statistically significant improvements in clinician burnout/wellbeing scores after 6 weeks of exposure to ambient documentation. Ambient documentation is a promising tool to rejuvenate clinician wellbeing at a time of high burnout in healthcare.
Speaker(s):
Jacqueline You, MD
Mass General Brigham

Author(s):
Jacqueline You, MD - Mass General Brigham; Reema Dbouk, MD - Emory University School of Medicine; Adam Landman, MD - Mass General Brigham; David Ting, MD - Massachusetts General Hospital; Sayon Dutta - Mass General Hospital; Julie Wang, BS - Harvard Medical School; Amanda Centi, PhD - Mass General Brigham; Michelle Frits, BS - Brigham and Women's Hospital; Christine Iannaccone, MPH - Brigham and Women's Hospital; Christopher Holland, MBA - Emory Healthcare; Bryan Blanchette, BA - Emory Healthcare; Rachel Silverman, BA - Emory Healthcare; David Bates, MD - Mass General Brigham; Harvard University; Lisa Rotenstein, MD, MBA, MSc - UCSF; Rebecca Mishuris, MD, MS, MPH - Mass General Brigham;