Join us on Wednesday, October 4th from 12-1pm (Pacific) for a discussion led by Dr. Nick Jacobson, PhD, of Dartmouth College on the innovative use of passive data to enhance digital assessment and treatment of mental health conditions.
Mental health disorders are a leading cause of disability worldwide, yet 3 in 5 persons affected by these disorders do not receive minimally adequate care. Utilizing passively collected data in daily life, such as data from smartphones, wearables, and the internet, can enhance the assessment and treatment of mental health conditions.
In this talk, Dr. Jacobson will explore how passive data can be used to accurately capture symptom severity and both rapid and long-term changes in symptoms. Participants will gain insights into the use of technology-based interventions, such as digital therapeutics and chatbots, to deliver personalized and evidence-based treatments at population scales. The discussion will also cover ongoing research to develop a generative chatbot that can respond dynamically to user input with a therapeutic response, using curated expert content and expert ratings over time. This research suggests that passive sensing has the potential to improve detection rates, inform targeted prevention interventions, and deliver just-in-time adaptive interventions.
Learning Objectives:
Understand the limitations of traditional mental health assessments and the advantages of integrating passive sensor data from smartphones and wearables to enhance precision assessment.
Gain insights into the methodologies for analyzing passive data to accurately capture symptom severity and rapid changes in mental health conditions, such as anxiety and depression.
Learn how technology-based interventions, including digital therapeutics and chatbots, can be scaled to deliver personalized and evidence-based mental healthcare at population levels.
Become familiar with the concept of just-in-time adaptive interventions (JITAIs) and how passive data can be used to inform such interventions for mental health.
Explore ongoing research in the development of generative chatbots equipped with curated expert content and ratings, designed to respond dynamically to user input with therapeutic responses.
About Dr. Nick Jacobson: Dr. Nick Jacobson is an assistant professor in the departments of Biomedical Data Science, Psychiatry, and Computer Science at Dartmouth College's Geisel School of Medicine. He's the director of the Treatment Development and Evaluation Core within the Center for Technology and Behavioral Health at Dartmouth. Dr. Jacobson also directs the AI and Mental Health: Innovation in Technology Guided Healthcare (AIM HIGH) Laboratory and has a strong interest in using technology to enhance the assessment and treatment of anxiety and depression. His work has focused on using passive sensor data from smartphones and wearable devices to improve precision assessment and provide personalized technology-based treatments. Dr. Jacobson has published 90 peer-reviewed articles and secured over $3 million as PI and over $20 million in funding as a co-Investigator.
CME Credits: You may be eligible to receive CME credits for attending this Hubinar. More information will be provided at the start of the event. If you have questions, please reach out to Pippa Kennard (pippa@stanford.edu).
Zoom link: https://stanford.zoom.us/j/95853077641?pwd=djYyM1NONE81Y0IyT3hGdFBTSnVWQT09