Ambient Artificial Intelligence-Enabled Documentation in Psychiatric Settings—Challenges and Lessons Learned

Presentation Time: 01:45 PM - 03:15 PM

Abstract Keywords: Informatics Implementation, Machine Learning, Documentation Burden, Workflow
Working Group: Mental Health Informatics Working Group
Primary Track: Applications
Programmatic Theme: Clinical Informatics
Moderator: Nicole Benson, MD, MBI
McLean Hospital/Harvard Medical School

With the recognition that clinical documentation is a significant driver of clinician burnout, ambient artificial intelligence (AI)-enabled documentation tools have emerged to support generation of real-time clinical notes. There is little information regarding how these tools can be leveraged in psychiatric specialty care settings, which pose some unique privacy, regulatory, and usability concerns. This panel will focus on use of these tools in psychiatric settings, including experiences developing a health system governance framework, implementation strategies, and real-world experiences. Panelists will discuss approaches to selecting an AI-enabled documentation tool, focusing on key considerations including safety, effectiveness, cybersecurity, privacy, and implementation strategies. The primary objective will be to understand the experience of using ambient AI-enabled documentation tools in psychiatric settings and the unique considerations in these settings.

Speaker(s):
Evan Carey, PhD
VA Eastern Colorado Health Care System

Tania Tajirian, MD
CAMH

Alisa Busch, MD, MS
McLean Hospital/Harvard Medical School