Leveraging AI for Actionable Measurement-Based Care Within Our Communities
Leveraging AI for Actionable Measurement-Based Care Within Our Communities
Presented By
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Brett Talbot, PhDMore Info
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Location
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On DemandSessions will be available On-Demand
Brett Talbot, PhD, Co-Founder and Chief Clinical Officer of Videra Health, will discuss ways video-based AI technology can help community behavioral health centers and SUD treatment providers navigate the rising demand for care and amplify existing programs. Discover how proactive, data-driven AI solutions can enable clinicians to scale their efforts and implement clinically robust measurement-based care. AI helps us go beyond assessments, fundamentally changing data collection. By leveraging these advancements, community and SUD providers can gain actionable data and profound insights into the patient experience, leading to more informed and personalized treatment approaches. Dr. Talbot will anchor his discussion with compelling real-world results, case studies, and poignant patient narratives, illustrating the revolutionary impact of AI-driven solutions in the behavioral health landscape.
By attending this session, attendees will gain a deep understanding of how AI technology can scale and revolutionize mental health care in their communities. They will leave with actionable insights on implementing AI-enhanced approaches, improving patient outcomes, and making data-driven decisions. Attendees will be inspired, learn, and leave with the knowledge and motivation to drive positive change in their individual settings.
- • Counselor
- • Marriage & Family Therapist
- • Social Worker
- • Substance Use Disorder Professionals
The educational goal of this workshop is to equip participants with the knowledge and skills to effectively apply AI-enhanced audio and video tools for improving data collection, gaining actionable insights, and supporting clinical monitoring in behavioral health care.
At the end of this course, participants will be able to:
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Describe 4 clinically robust care measures AI can gather.
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Analyze the role of video-based AI technology in enhancing the scalability and effectiveness of community behavioral health and SUD treatment programs.
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Explain how AI-enhanced approaches can improve data collection and provide actionable insights in behavioral health care.
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Describe the evidence and models supporting audio and video as an effective clinical monitoring tool.
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Wang, J., Zhang, L., Liu, T., Pan, W., Hu, B., & Zhu, T. (2019). Acoustic differences between healthy and depressed people: a cross-situation study. BMC psychiatry, 19, 1-12.
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Wu, T., Peng, J., Zhang, W., Zhang, H., Tan, S., Yi, F., ... & Huang, Y. (2022). Video sentiment analysis with bimodal information-augmented multi-head attention. Knowledge-Based Systems, 235, 107676.
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Spruit, M., Verkleij, S., de Schepper, K., & Scheepers, F. (2022). Exploring language markers of mental health in psychiatric stories. Applied Sciences, 12(4), 2179.
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Hansen, L., Zhang, Y. P., Wolf, D., Sechidis, K., Ladegaard, N., & Fusaroli, R. (2022). A generalizable speech emotion recognition model reveals depression and remission. Acta Psychiatrica Scandinavica, 145(2), 186-199.
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Venkataraman, D., & Parameswaran, N. S. (2018). Extraction of facial features for depression detection among students. Int. J. Pure Appl. Math, 118(7), 455-463.
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Harati, S., Crowell, A., Huang, Y., Mayberg, H., & Nemati, S. (2019). Classifying depression severity in recovery from major depressive disorder via dynamic facial features. IEEE journal of biomedical and health informatics, 24(3), 815-824.
TPN.health has been approved by NBCC as an Approved Continuing Education Provider, ACEP No. 7267. Programs that do not qualify for NBCC credit are clearly identified. TPN.health is solely responsible for all aspects of the programs.
Trusted Provider Network, LLC is recognized by the New York State Education Department’s State Board for Mental Health Practitioners as an approved provider of continuing education for licensed mental health counselors. #MHC-0220.
TPN.health is a CAMFT-approved continuing education provider, provider #1000101.
Trusted Provider Network, LLC is recognized by the New York State Education Department’s State Board for Mental Health Practitioners as an approved provider of continuing education for licensed marriage and family therapists #MFT-0097.
Trusted Provider Network, LLC is recognized by the New York State Education Department’s State Board for Social Work as an approved provider of continuing education for licensed social workers #SW-0654.
TPN.health, #1766, is approved to offer social work continuing education by the Association of Social Work Boards (ASWB) Approved Continuing Education (ACE) program. Organizations, not individual courses, are approved as ACE providers. State and provincial regulatory boards have the final authority to determine whether an individual course may be accepted for continuing education credit. TPN.health maintains responsibility for this course. ACE provider approval period: 03/31/2022 – 03/31/2025. Social workers completing this course receive 1 Clinical continuing education credits. ASWB ACE Credit is not available in NY and NJ.
This course has been approved by TPN.health, as a NAADAC Approved Education Provider, for educational credits. NAADAC Provider #198061, TPN.health is responsible for all aspects of the programming.This course has been approved by TPN.health, as a NAADAC Approved Education Provider, for educational credits. NAADAC Provider #198061, TPN.health is responsible for all aspects of the programing. Counselor Skill Group:
