Treatment and Risk Prediction: Clinical Informatics for Care of Serious Mental Illness-Lecture Presentation

Video Transcription

Video Summary

In this video transcript, Dr. Alexander Young discusses the use of clinical informatics in the care of people with serious mental illness. He explains how informatics systems can be used to provide treatment or support treatment for mental health disorders, such as weight management programs. Dr. Young presents the eWellness program, a web-based system designed to help people with mental illness self-manage their weight, along with peer coaching for support. He shares the results of a randomized controlled trial, showing that the eWellness program led to significant weight loss in patients with serious mental illness. Dr. Young also discusses the use of predictive analytics and risk prediction in mental health care. He describes how algorithms can be used to predict suicide risk and hospitalization or death for patients with mental illness. The accuracy of these models is discussed, along with their applications in case management and research. Dr. Young concludes by discussing the future of clinical informatics, including the use of big data, patient-generated data, and machine learning for mental health assessment and treatment. He suggests resources and organizations for those interested in clinical informatics. (Note: No credits are specified in the transcript.)

Keywords

clinical informatics

mental illness

treatment

eWellness program

weight management

peer coaching

predictive analytics

risk prediction