SXSW 2023

Role of AI in Reshaping Behavioral Health

Description:

Artificial intelligence offers the potential to reshape behavioral healthcare and addiction treatment in the coming years. Is your healthcare organization prepared to keep pace?

In this session we will discuss the reasons to integrate AI in behavioral health and addictions areas and future opportunities.

Examples of use cases we will review:
- predictive modeling and the use of AI to predict/detect whether people have suicidal tendencies earlier or help them track their drug use and alert them that they’re taking too many opioids;
- using motivational interviewing techniques in chatbots to enable 24x7 support to people who are trying to quit smoking;
- how machine learning can be used to predict clinical outcomes in people completing outpatient AUD treatment.


Related Media

Other Resources / Information


Takeaways

  1. Artificial Intelligence can and should be used in mental/behavioral areas to improve outcomes.
  2. Motivational Interviewing techniques deployed via chatbots can bring significant value to patients.
  3. Behavioral health solutions powered by AI and integrated with complex disease management can greatly improve outcomes.

Speakers

  • Tatyana Kanzaveli, CEO, Open Health Network
  • Jason Satterfield, Academy Chair for Innovation in Teaching Professor of Clinical Medicine, UCSF
  • Walter Roberts, Assistant Professor in the Psychiatry Department, Yale School Of Medicine
  • Tom Lawry, National Director for AI, Health & Life Sciences, Microsoft

Organizer

Tatyana Kanzaveli, CEO, Open Health Network


Meta Information:

  • Event: SXSW
  • Format: Panel
  • Track: Health & MedTech
  • Track 2
  • Level: Intermediate


Add Comments

comments powered by Disqus

SXSW reserves the right to restrict access to or availability of comments related to PanelPicker proposals that it considers objectionable.