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000280260 037__ $$aDZNE-2025-00938
000280260 041__ $$aEnglish
000280260 082__ $$a300
000280260 1001_ $$aHouseh, Mowafa S.$$b0$$eEditor
000280260 245__ $$aThe P4D Dashboard: A Platform for Monitoring Clinical Studies
000280260 260__ $$aAmsterdam$$bIOS Press$$c2025
000280260 29510 $$aMEDINFO 2025 — Healthcare Smart × Medicine Deep / Househ, Mowafa S. (Editor) ; : IOS Press, , ; ISSN: 09269630=18798365 ; ISBN: 9781643686080 ; doi:10.3233/SHTI250889
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000280260 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$bcontb$$mcontb$$s1754895657_31915
000280260 4900_ $$aStudies in Health Technology and Informatics
000280260 520__ $$aThe P4D (Personalized, Predictive, Precise & Preventive Medicine for Major Depression) dashboard (https://p4dashboard.vercel.app) is a web-based platform for monitoring and generating data-driven insights within a multi-site clinical depression study. Part of the broader P4D initiative, which aims to advance personalized medicine for depression through deep phenotyping, genotyping, and machine learning, the dashboard addresses the challenge of integrating heterogeneous data sources. Dynamic visualizations and interactive filtering methods enable users to define and explore sub-cohorts, facilitating the understanding of complex patterns and tailoring data views to their specific needs. The dashboard also summarizes key metrics, allowing real-time monitoring of the data collection and the generation of actionable reports. The P4D dashboard has successfully identified data irregularities, such as missing followup assessments due to early patient discharge and site-specific recruitment disparities, enabling timely interventions to enhance data quality. With its adaptable and scalable framework, the dashboard may be applied to other clinical cohort studies in the future.
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000280260 650_7 $$2Other$$aClinical monitoring
000280260 650_7 $$2Other$$adata integration
000280260 650_7 $$2Other$$adepression
000280260 650_7 $$2Other$$adynamic visualization
000280260 650_7 $$2Other$$ainteractive dashboard
000280260 650_2 $$2MeSH$$aHumans
000280260 650_2 $$2MeSH$$aPrecision Medicine: methods
000280260 650_2 $$2MeSH$$aUser-Computer Interface
000280260 650_2 $$2MeSH$$aDepressive Disorder, Major: diagnosis
000280260 650_2 $$2MeSH$$aDepressive Disorder, Major: therapy
000280260 650_2 $$2MeSH$$aMachine Learning
000280260 7001_ $$aTariq, Zain Ul Abideen$$b1$$eEditor
000280260 7001_ $$aAl-Zubaidi, Mahmood$$b2$$eEditor
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000280260 7001_ $$aKrause, Elischa$$b6
000280260 7001_ $$aMüntefering, Fabian$$b7
000280260 7001_ $$aVoges, Jan$$b8
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000280260 7001_ $$aPollmann, Iris$$b12
000280260 7001_ $$aMueller, Franz-Josef$$b13
000280260 7001_ $$aWeber, Heike$$b14
000280260 7001_ $$0P:(DE-2719)9000684$$aOeltze-Jafra, Steffen$$b15$$udzne
000280260 773__ $$a10.3233/SHTI250889
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