Name
Scripting a Better Future: AI’s Impact on Behavioral Health Provider Well-Being & Workflows
Description
Artificial Intelligence (AI) ambient scribing is an emerging tool utilized within healthcare settings to assist medical professionals with the efficient and accurate completion of clinical documentation. In studies examining the physician use of AI ambient scribes, results suggest their use can alleviate physician burnout and improve the timeliness and completeness of documentation. However, there remains a paucity of research examining the impact of AI ambient scribing on the documentation practices, burnout, and productivity of behavioral health providers. The presenters will present preliminary results from a study exploring the impact of AI ambient scribing on behavioral health provider wellbeing and workflows in integrated primary care settings.
Speakers
Laura Sudano PhD, LMFT, Associate Director, UC San Diego Health,
Bill Sieber Ph.D., Director and, Integrated Behavioral Health, Individual - Bill Sieber, Carlsbad, California
Florencia Lebensohn-Chialvo PhD, Assistant Director, IBH, UC-San Diego Health, San Diego, CA
Bill Sieber Florencia Lebensohn-Chialvo
Content Level
All Audience
Tags
Innovations, Research and evaluation, Workforce development
Session Type
Concurrent
Objective 1
List benefits of AI ambient scribing
Objective 2
Identify barriers to adoption of AI ambient scribing
Objective 3
Discuss behavioral health provider’s experience of using AI in integrated behavioral health.
Content Reference 1
Isenberg, B. M. ;Chu, Isenberg, B. M., Chu, W., Boyd, M. R., Knudsen, K. S., Becker, K. D., Keenan-Miller, D., & Chorpita, B. F. (2024). A Qualitative Study of School Mental Health Providers’ Experiences with Chart Notes: Perceived Utility, Burden, and Areas for Growth . Evidence-Based Practice in Child and Adolescent Mental Health., 1–18. https://doi.org/10.1080/23794925.2024.2426185
Content Reference 2
Yang, Y., & Hayes, J. A. (2020). Causes and consequences of burnout among mental health professionals: A practice-oriented review of recent empirical literature. Psychotherapy, 57(3), 426-436. doi:https://doi.org/10.1037/pst0000317
Content Reference 3
Shah SJ, Devon-Sand A, Ma SP, Jeong Y, Crowell T, Smith M, Liang AS, Delahaie C, Hsia C, Shanafelt T, Pfeffer MA, Sharp C, Lin S, Garcia P. Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden. J Am Med Inform Assoc. 2025 Feb 1;32(2):375-380. doi: 10.1093/jamia/ocae295. PMID: 39657021; PMCID: PMC11756571.
Content Reference 4
Ma SP, Liang AS, Shah SJ, Smith M, Jeong Y, Devon-Sand A, Crowell T, Delahaie C, Hsia C, Lin S, Shanafelt T, Pfeffer MA, Sharp C, Garcia P. Ambient artificial intelligence scribes: utilization and impact on documentation time. J Am Med Inform Assoc. 2025 Feb 1;32(2):381-385. doi: 10.1093/jamia/ocae304. PMID: 39688515; PMCID: PMC11756633.
Content Reference 5
Bundy H, Gerhart J, Baek S, Connor CD, Isreal M, Dharod A, Stephens C, Liu TL, Hetherington T, Cleveland J. Can the Administrative Loads of Physicians be Alleviated by AI-Facilitated Clinical Documentation? J Gen Intern Med. 2024 Nov;39(15):2995-3000. doi: 10.1007/s11606-024-08870-z. Epub 2024 Jun 27. PMID: 38937369; PMCID: PMC11576703.