Name
G09 - Is the “future of healthcare” actually better? A look at ambient AI adoption in a large Integrated Behavioral Health department.
Date & Time
Friday, October 17, 2025, 10:00 AM - 11:00 AM
Location Name
305A
Description

Healthcare systems across the US are adopting Artificial Intelligence (AI) software to improve the delivery of health services. But are the expected outcomes the same for medical and behavioral health providers? Or should Integrated Behavioral Health teams be looking for different ways to measure success? This presentation will explore the quantitative and qualitative impact of a large (~60 clinician) integrated behavioral health department’s adoption of ambient AI technology to support clinical documentation.

Speakers
Justin Upwell LPC, LAC, Integrated Behavioral Health Supervisor, Denver Health Hospital Authority, Denver, CO
Larissa Miller PhD, Manager, Integrated Behavioral Health: Infant, Pediatric, and OBGYN Health, Denver Health, Lowry Family Health Center, Denver, CO
Justin Upwell
Content Level
All Audience
Tags
Innovations, Quality improvement programs, Sustainability
Session Type
Concurrent
SIG or Committee
Families and Health (F&H), Primary Care Behavioral Health (PCBH)
Objective 1
Identify some of the benefits of integrating AI into IBH documentation.
Objective 2
Describe the difference between qualitative and quantitative outcomes of AI implementation into an IBH department, with pros and cons of each approach.
Objective 3
Identify potential measures of success of AI integration into an IBH department.
Content Reference 1

“Reducing Clinician Burden” Project (2023). Health Level Seven (HL7) Electronic Health Record Work Group (EHR WG). Accessed January 4, 2024. https://confluence.hl7.org/pages/viewpage.action?pageId=204280676&preview=%2F204280676%2F204280705%2FReducing+Clinician+Burden-Overview-20230116.pdf.

Content Reference 2

Tierney, A., Gayre, G., Hoberman, B., Mattern, B., Ballesca, M., Kipnis, P., Liu, V., & Lee, K. (2024). Ambient artificial intelligence scribes to alleviate the burden of clinical documentation. NEJM Catalyst Innovations in Care Delivery, 5(3). https://doi.org/10.1056/CAT.23.0404

Content Reference 3

Alhuwaydi, A. (2024). Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions – A Narrative Review for a Comprehensive Insight. Risk Management and Healthcare Policy, 17, 1339–1348. https://doi.org/10.2147/RMHP.S461562

Content Reference 4

Biswas, A. & Talukdar, W. (2024). Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation. International Journal of Innovative Science and Research Technology. 9. 994-1008. 10.38124/ijisrt/IJISRT24MAY1483.

Content Reference 5

King, D.R., Nanda, G., Stoddard, J., Dempsey, A., Hergert, S., Shore. J. H., Torous, J. (2023). An Introduction to Generative Artificial Intelligence in Mental Health Care: Considerations and Guidance. Curr Psychiatry Rep 25, 839-846 https://doi.org/10.1007/s11920-023-01477-x