About this course

Learning Objectives

• Gain a holistic understanding of the historical evolution of technology in mental health, recognizing key milestones and their impact on client care.
• Discover the practical uses of different technologies, including the impactful role of AI, in various applications and contexts.
• Prepare for the future of mental health care by anticipating emerging technologies, discussing potential trends, and understanding the regulatory and ethical landscape.

Learning Levels

• Beginner

Course Instructor(s)

• 

  Natalia Andreev, LPC, NCC

  Clinical Manager

  Natalia Andreev, LPC, NCC, is a dedicated and accomplished licensed professional counselor with extensive experience in clinical management, operational oversight, and direct client care. Currently serving as a Clinical Manager, Natalia collaborates with cross-functional teams to implement strategic initiatives, enhance service quality, and optimize therapist performance. With a strong foundation in mental health counseling and rehabilitation, Natalia is committed to fostering client engagement and advancing organizational growth. She is multilingual, fluent in Russian and Bulgarian, and is currently pursuing an MBA to expand her leadership expertise.

References

• AI for Mental Health: Developing Clinically Relevant Applications for Online CBT Treatment. ACM Transactions on Computer-Human Interaction, 30(2), Article 27, 50 pages. https://doi-org.libproxy.temple.edu/10.1145/3564752.
• Areán, P., & Cuijpers, P. (2017). Technology and mental health. Depress Anxiety, 34, 479-480. https://doi.org/10.1002/da.22636
• Berardi, C., Hinwood, M., Smith, A., Melia, A., & Paolucci, F. (2021). Barriers and facilitators to the integration of digital technologies in mental health systems: A protocol for a qualitative systematic review. PLoS ONE, 16(11), e0259995. https://doi.org/10.1371/journal.pone.0259995
• D’Alfonso, S. (2020). AI in mental health. Current Opinion in Psychology, 36, 112-117. https://doi.org/10.1016/j.copsyc.2020.04.005
• Daniel D’Hotman, Loh, E., & Savulescu, J. (2021). AI-enabled suicide prediction tools: ethical considerations for medical leaders. BMJ Leader, 5(2), 102-107. https://doi.org/10.1136/leader-2020-000275
• Fox, C., & Fox, C. (2021, September 14). These are the top 10 innovations in Mental Health. World Economic Forum. https://www.weforum.org/agenda/2021/09/these-are-the-top-10-innovations-tackling-mental-ill-health/
• Garg, M., & Koundal, D. (2023). Emotional AI and human-AI interactions in social networking. Elsevier Science & Technology.
• Graham, S., Depp, C., Lee, E. E., Nebeker, C., Tu, X., Ho-Cheol, K., & Jeste, D. V. (2019). Artificial Intelligence for Mental Health and Mental Illnesses: an Overview. Current Psychiatry Reports, 21(11), 1-18. https://doi.org/10.1007/s11920-019-1094-0
• Investigators at the University of Melbourne Discuss Findings in Mental Health Diseases and Conditions (AI In Mental Health). (2021, March 15). Mental Health Weekly Digest, 336. https://link-gale-com.libproxy.temple.edu/apps/doc/A654934287/AONE?u=temple_main&sid=bookmark-AONE&xid=2c32e3c8
• Joseph, B. (2023, August 18). State legislators look to regulate use of AI in Healthcare. Community. https://www.lexisnexis.com/community/insights/legal/capitol-journal/b/state-net/posts/state-legislators-look-to-regulate-use-of-ai-in-healthcare
• Kapoor. A, & Goel.S. (2022). Applications of Conversational AI in Mental Health: A Survey. In 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 1013-1016). doi: 10.1109/ICOEI53556.2022.9777127.
• Koutsouleris, N., Hauser, T. U., Skvortsova, V., & De Choudhury, M. (2022). From promise to practice: towards the realization of AI-informed mental health care. The Lancet Digital Health, 4(11), e829-e840. https://doi.org/10.1016/S2589-7500(22)00153-4
• Lovejoy, C. A., Buch, V., & Maruthappu, M. (2019). Technology and mental health: The role of artificial intelligence. European Psychiatry, 55, 1-3. https://doi.org/10.1016/j.eurpsy.2018.08.004
• Mazza, G. (2022, August 29). AI and the future of Mental Health. CENGN. https://www.cengn.ca/information-centre/innovation/artificial-intelligence-ai-and-the-future-of-mental-health/
• Rahayu, D. S., Padillah, R., Septiana, N. Z., Setyorini, S., & Nuraini, P. (2023). Battle of the minds: AI vs. mental health professionals in mental wellness care. Journal of Public Health. Advance online publication. https://doi.org/10.1093/pubmed/fdad149
• Research and Markets Brings Out Report: AI in Mental Health Global Market. (2022, December 16). Entertainment Close-up, NA. https://link-gale-com.libproxy.temple.edu/apps/doc/A730293300/GBIB?u=temple_main&sid=bookmark-GBIB&xid=227d98f5
• Thieme, A., Hanratty, M., Lyons, M., Palacios, J., Marques, R. F., Morrison, C., & Doherty, G. (2023). Designing Human-centered
• Tyson, A., Pasquini, G., Spencer, A., & Funk, C. (2023, February 22). 60% of Americans would be uncomfortable with a provider relying on AI in their own health care. Pew Research Center Science & Society. https://www.pewresearch.org/science/2023/02/22/60-of-americans-would-be-uncomfortable-with-provider-relying-on-ai-in-their-own-health-care/
• U.S. Department of Health and Human Services. (n.d.). Technology and the future of Mental Health Treatment. National Institute of Mental Health. https://www.nimh.nih.gov/health/topics/technology-and-the-future-of-mental-health-treatment