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. The speakers will introduce the Stress and Recovery Study – a completed feasibility participant centric study that used digital tools to detect 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. The speakers will introduce 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. 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:
23 November 2021, 15:00 (Tuesday, 7th week, Michaelmas 2021)
Venue:
virtual via Zoom
Speakers:
Professor Stephen Friend (University of Oxford / 4YouandMe.org),
Dr Sarah Goodday (University of Oxford)
Organising department:
Department of Psychiatry
Organiser:
Dr Andrey Kormilitzin (University of Oxford)
Organiser contact email address:
andrey.kormilitzin@psych.ox.ac.uk
Host:
Dr Andrey Kormilitzin (University of Oxford)
Part of:
Artificial Intelligence for Mental Health Seminar Series
Booking required?:
Not required
Booking email:
andrey.kormilitzin@psych.ox.ac.uk
Audience:
Public
Editor:
Andrey Kormilitzin
