Real World Data and Real World Evidence Using TriNetX: The TauliMar Clinical Research Network
TriNetX is a global health research network that connects healthcare organizations and pharmaceutical companies to facilitate clinical research using real-world data (RWD). We present the TauliMar Network that was created under TriNetX as a unique collaboration in Europe between Hospital del Mar and Hospital Parc Taulí in Spain. The network's first ongoing studies explore the link between COVID-19, type 2 diabetes, and depression through inflammatory pathways, and the potential repurposing of antilipemic drugs such as statins for treating depression. The collaboration increases patient sample size and diversity, and enhances statistical power, all while ensuring data privacy and regulatory compliance.
Authors
- Gema Hernández (ORCID: https://orcid.org/0000-0003-4832-455X)
- Marc Fradera (ORCID: https://orcid.org/0000-0001-9290-6616)
- Miguel Ángel Mayer (ORCID: https://orcid.org/0000-0003-0362-6298)
- Ángela Leis (ORCID: https://orcid.org/0000-0003-4780-7111)
- Alejandro Parralejo (ORCID: https://orcid.org/0000-0002-8927-8070)
- Juan Manuel Ramírez‐Anguita (ORCID: https://orcid.org/0000-0002-8509-0927)
- Cleofé Peña-Gómez (ORCID: https://orcid.org/0009-0009-8043-8187)
- Pelayo Aguilera (ORCID: https://orcid.org/0000-0001-7031-4281)
Institutions
- Universitat Pompeu Fabra (ES)
- Centro de Investigación Biomédica en Red de Salud Mental (ES)
- Hospital Del Mar (ES)
- Institute of Research and Innovation Parc Tauli (ES)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3233/shti250455
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 19.92