Further empowering individuals to co-navigate their stress and mental health using smartphones and wearable devices
Interventions currently rely on approvals and decision trees largely based on aggregate, static data that may or may not be relevant to an individual. Objective and subjective measures of health from smartphones and wearable devices could dramatically transform this top-down approach, to a ground-up, individual level approach that enables participants and patients as co-navigators. This talk will focus on the Stress and Recovery Study – a completed feasibility participant centric study that used digital tools to detect and track stress and mental health in frontline healthcare workers working with COVID-19 patients and new work in pregnancy and the mental health of students. New applications of machine learning approaches for the detection of stress events from objective and subjective data will be discussed and future upcoming studies of psychiatric patient populations applying similar methodologies.
Date:
15 March 2022, 9:30 (Tuesday, 9th week, Hilary 2022)
Venue:
Online, via Zoom - For link to attend, information and to register please contact the host: katherine.stevens@psych.ox.ac.uk
Speaker:
Professor Stephen Friend (University of Oxford / 4YouandMe.org)
Organising department:
Department of Psychiatry
Organiser contact email address:
katherine.stevens@psych.ox.ac.uk
Host:
Katherine Stevens (University of Oxford)
Part of:
Psychiatry Seminars
Booking required?:
Required
Booking email:
katherine.stevens@psych.ox.ac.uk
Audience:
Public
Editor:
Katherine Stevens
