W orkshop D Using Artificial Intelligence to Improve Outpatient Care Delivery: Real-World Use of Natural Language Processing Dennis Morrison, PhD
W orkshop E The Mental Health Practitioner’s Ethical Responsibility to Children in Custody Proceedings Christine Heer, Esq., LCSW Social Worker C.Heer Consultation C ourse D escription : The custody of children can have long-time impact on children’s development throughout the life span. Yet, courts are making deci- sions about child custody daily and increasingly with the assistance of mental health professionals. Due to the potential long-term impacts of these decisions, mental health professionals must be cognizant of the ethical, legal and values bases of the processes they undergo in as- sisting these families. This workshop will explore the needs of children to be considered in child custody decision making, the applications of Codes of Ethics, values that mental health professionals may be bringing into their work and ethical approaches that can keep children physically and emotionally well during these difficult processes. L earning O bjectives : At the end of this session, attendees will be able to : • Apply ethical standards to work with families and children in- volved in custody disputes. • Define and assess standards used by New Jersey Courts when determining custody. • Define assessment domains when working with children before, during and after divorce. • Identify warning signs of trauma in children involved in high- conflict custody matters. T arget A udience : Mental health professionals who work with families A udience T arget L evels : Intermediate number and type of credits : 1 CE – Ethics L unch B reak and V endor B rowsing 12:00 p.m. – 1:00 p.m.
Consultant/Owner Morrison Consulting C ourse D escription :
The term “artificial intelligence” (AI) has been around for quite a while. It is a mature technology, actually being used in many aspects of everyday life from Amazon suggestions to automated voice interaction systems. Health care has seen some use of AI in fields like radiol- ogy, pathology and population health analytics. These applications of AI in health care have relied heavily on pattern analysis of images (radiology and pathology) where the analysis of an image like an x-ray, however complex, can be subjected to a finite set of rules that a com- puter can use to analyze the image. Despite some rather rudimentary attempts, AI has seen little application into actual mental healthcare delivery until recently. The advent of Natural Language Process- ing (NLP) and Natural Language Understanding (NLU) has made it possible to apply AI to therapist-client interactions in near real-time, providing clinical insights for clinicians and supervisors and automati- cally generating progress notes based solely on their verbal exchange with no typing by the clinician or client. This session will discuss the evolution of AI in health care and behavioral health care and will give real-world examples of NLP-based systems currently in use by behav- ioral healthcare providers. Examples of how such systems can increase efficiency and clinical insights will be provided. L earning O bjectives : At the end of this session, attendees will be able to : • Identify two previous attempts at introducing AI into behavioral health treatment. • Explain the basics of Natural Language Processing. • Describe how AI in behavioral health care can add value to clinical care. • Describe how AI is an aid to clinicians.
T arget A udience : Clinicians, middle and senior executives A udience T arget L evels : Intermediate number and type of credits : 1 CE – Clinical