The P4D Dashboard: A Platform for Monitoring Clinical Studies
Year: 2025
Type: book-chapter
Abstract: The P4D (Personalized, Predictive, Precise & Preventive Medicine for Major Depression) dashboard (https://p4dashboard.vercel.app) is a web-based platform for monitoring and generating data-driven insights within a multi-site clinical depression study. Part of the broader P4D initiative, which aims to advance personalized medicine for depression through deep phenotyping, genotyping, and machine learning, the dashboard addresses the challenge of integrating heterogeneous data sources. Dynamic visualizations and interactive filtering methods enable users to define and explore sub-cohorts, facilitating the understanding of complex patterns and tailoring data views to their specific needs. The dashboard also summarizes key metrics, allowing real-time monitoring of the data collection and the generation of actionable reports. The P4D dashboard has successfully identified data irregularities, such as missing followup assessments due to early patient discharge and site-specific recruitment disparities, enabling timely interventions to enhance data quality. With its adaptable and scalable framework, the dashboard may be applied to other clinical cohort studies in the future.
DOI: 10.3233/shti250889
Authors: Hamidreza Maharlou, Elischa Krause, Fabian Müntefering, Jan Voges, Antoine Weihs, Michael Lucht, Hans J. Grabe, Iris Pollmann, Franz-Josef Mueller, Heike Weber, Steffen Oeltze-Jafra
Institutions: Medizinische Hochschule Hannover, Universitätsmedizin Greifswald, Leibniz University Hannover, Centro de Investigación Médica Aplicada, Universidad de Navarra, German Center for Neurodegenerative Diseases, Christian-Albrechts-Universität zu Kiel, Max Planck Institute for Molecular Genetics, Universitätsklinikum Würzburg
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4413051141
