Projet 8 – Elaboration d'un vaccin vivant atténué contre le SARS-CoV-2

Projet 6 – mQoL-Lab: A Flexible Platform to Conduct Human Health Studies Using Interactive, Mobile, Wearable and Ubiquitous Devices

Auteurs

Allan Berrocal (a), Vlad Manea (b), Alexandre De Masi (a), Katarzyna Wac (a,b) (a) Quality of Life Technologies Lab, Institute of Service Science, University of Geneva, Switzerland (b) Quality of Life Technologies Lab, Department of Computer Science, University of Copenhagen, Denmark

Partenaires

Quality of Life Technologies Lab, Institute of Service Science, University of Geneva, Switzerland Quality of Life Technologies Lab, Department of Computer Science, University of Copenhagen, Denmark Stanford Hospitals and Stanford University Medical Center, Stanford, CA, USA

Résumé du projet

Behavioral studies including humans (potentially patients) conducted in the lab and in situ are widely used to understand, and model momentary human behaviors (e.g., stress, sleep, physical activity) that may contribute to health and life quality in the long term. Our research lab built the mQoL-Lab platform using open source technologies, and evolved it to a durable and reliable software ecosystem in over 10 different studies along eight years across three countries.

Introduction

Behavioral and health researchers rely on software platforms to design and execute their studies, but existing solutions require a steep learning curve, allow little control, and do provide guarantees. Additionally, because human studies collect personal and sometimes medical data, they are inherently subject to strict ethical and legal regulations, such as the GDPR (EU), or HIPAA (USA). Research labs require robust and flexible infrastructures to satisfy changing needs on a timely manner.

Innovation

We have designed and deployed our innovative research platform upon the first appearance of Android programmable phones (2011), to conduct a US-based observational study of smartphone users’ daily behaviors. The innovative elements of the platform are tied to its design choices, enabling a span of methodological choices for the studies being conducted with humans in the lab and/or in situ. mQoL-Lab enables employment of mixed methods, collecting data by active participation (e.g., via Ecological Momentary Assessment (EMA) for e.g., stress, or Patient Reported Outcomes (PRO) for health outcomes) and passive sensing using mobile, wearable, and ubiquitous devices (for e.g., sleep, steps, heart rate, glucose). Furthermore, the platform enables parallel studies of different length, involving different populations, having different devices (Android and iOS), different wearables (Fitbit, Apple Watch, Withings, Polar, Garmin, Oura) and fulfilling different security and privacy requirements.