Psychiatric care continues to be complex and often difficult to show sound value outcomes. Team based care is important to ensure that psychiatric patients are provided multi-factorial treatment model to address not only acute symptom treatment but also chronic disease strategy management, issues related to social determinants of mental health and larger systems related care navigation. Currently, even with robust case management and physician-led team models, care often can be disjointed, poorly aligned and silo’ed. AI and advanced data analytics can pose a supportive function in developing high quality, coordinated team based model that can show high value in caring for psychiatric patients. The presentation will help clinicians evaluate and think about how AI and advanced data analytics will augment and support high quality team based psychiatric care
Target Audience
This activity is intended for physicians, nurses, psychologists, social workers, counselors, and other mental health professionals.
Learning Objectives
At the conclusion of this activity, attendees will be able to:
- Describe how AI is and likely will be used to handle large health data
- Identify ethical issues related to patient centric decision making and usage of AI in team-based models of care
- Discuss ways in which AI implementation in behavioral health can support value based outcomes