I wanted to share the information about an upcoming talk at SMU.
Introducing the Experience Sampling Method into Clinical Practice - What Makes it Acceptable?
Speaker: Maria Wolters, Reader in Informatics, University of Edinburgh
Date: 7 March 2023, Tuesday
Time: 1:00pm – 2:00pm
Venue:
School of Economics/School of Computing & Information Systems 2 (SOE/SCIS 2)
Level 3, Seminar Room 3-9
Singapore Management University
90 Stamford Road Singapore 178903
Please register from the following link by 3 March 2023:
https://scis.smu.edu.sg/newsletter/42166ABOUT THE TALK
In this talk, the speaker will present initial findings from stakeholder requirements gathering done for the IMMERSE project. In the EU project IMMERSE, they will implement a solution in clinical practice that allows patients with mental health conditions to document their mental health throughout their day in various situations. This is called the Experience Sampling Method (ESM). Patients’ ESM data is then shared with the health professional who treats them in the form of a dashboard. The goal of IMMERSE is to find out, using a Randomised Clinical Trial approach, whether ESM can improve shared decision making and treatment efficacy in clinical practice. The IMMERSE trial will run in four countries: Belgium, Germany, Scotland, and Slovakia. She will summarise the strategy used for gathering stakeholder requirements in IMMERSE and discuss factors that affect patients’ and clinicians’ readiness to engage with an ESM solution, as determined through a survey of over 400 patients in four European countries.
ABOUT THE SPEAKERDr Maria Wolters is the incoming Research Group leader for the group SOC (digital participation) at the German research institute OFFIS and Reader (associate professor) in Design Informatics at the University of Edinburgh. She has published over 90 peer reviewed papers in Human-Computer Interaction, eHealth, and Computational Linguistics.
Maria is interested in digital inclusion. Around 10% of the population will be excluded from online-only services due to lack of access to technology, a badly designed user experience, lack of interest, or lack of trust. This results in systemic gaps and biases in data-driven systems to support health and social care. Maria is looking at ways to mitigate this by designing solutions that span digital and physical, online and in person.