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Updated: Dec 22, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
COllaborative open platform E-cohorts for research acceleration in trials and epidemiology
Viet-Thi Tran1, Philippe Ravaud2
1METHODS Team, Université de Paris, CRESS, INSERM, INRA, F-75004 Paris, France; Center for Clinical Epidemiology, Hôtel-Dieu Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), 1 Place du Parvis Notre Dame, 75004 Paris, France.
The Collaborative Open Platform (COOP) e-cohort model streamlines clinical research by creating a shared infrastructure. This approach reduces costs and accelerates studies through patient collaboration and data sharing.
Area of Science:
- Clinical research methodology
- Health informatics
- Patient engagement
Background:
- The traditional clinical research model is inefficient, relying on a "one-off" project-by-project approach.
- This model involves significant costs and time due to repeated infrastructure setup and dismantling.
Purpose of the Study:
- To introduce and validate the Collaborative Open Platform (COOP) e-cohort model for clinical research.
- To establish a sustainable and collaborative research infrastructure that overcomes the limitations of the traditional model.
Main Methods:
- Developing a platform to build a large community of patients willing to participate in research.
- Collecting patient-reported data, passively enriched by linkage with care and medico-administrative data.
- Allowing approved research teams to utilize the platform for observational or interventional studies.
Main Results:
- The Community of Patients for Research (ComPaRe) serves as a proof-of-concept COOP e-cohort.
- ComPaRe has enrolled 36,000 patients, generating over 4 million data points since 2017.
- 150 researchers have utilized the platform, leading to the funding of three nested clinical trials.
Conclusions:
- COOP e-cohorts facilitate a shift from independent studies to a collaborative research infrastructure.
- This model accelerates the research process by minimizing redundancy and waste.
- The platform enhances efficiency and reduces costs in clinical research endeavors.
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