Open AccessSwissPK cdw – A clinical data warehouse for the optimization of pediatric dosing regimens
Author(s) -
Goers Roland,
Coman Schmid Diana,
Jäggi Vera F.,
Paioni Paolo,
Okoniewski Michal J.,
Parker Althea,
Bangerter Beat,
Georgakopoulou Sofia,
Sengstag Thierry,
Bielicki Julia,
Tilen Romy,
Vermeul Swen,
Krämer Stefanie D.,
Berger Christoph,
Rinn Bernd,
Meyer zu Schwabedissen Henriette E.
Publication year - 2021
Publication title -
cpt: pharmacometrics and systems pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.53
H-Index - 37
ISSN - 2163-8306
DOI - 10.1002/psp4.12723
Subject(s) - usable , data warehouse , dosing , computer science , software deployment , information repository , data science , medicine , data mining , computer data storage , world wide web , pharmacology , software engineering , operating system
Abstract Clinical trials have been performed mainly in adults and accordingly the necessary information is lacking for pediatric patients, especially regarding dosage recommendation for approved drugs. This gap in information could be filled with results from pharmacokinetic (PK) modeling, based on data collected in daily clinical routine. In order to make this data accessible and usable for research, the Swiss Pharmacokinetics Clinical Data Warehouse (SwissPK cdw ) project has been set up, including a clinical data warehouse (CDW) and the regulatory framework for data transfer and use within. Embedded into the secure BioMedIT network, the CDW can connect to various data providers and researchers in order to collaborate on the data securely. Due to its modularity, partially containerized deployment and open‐source software, each of the components can be extended, modified, and re‐used for similar projects that require integrated data management, data analysis, and web tools in a secure scientific data and information technology (IT) environment. Here, we describe a collaborative and interprofessional effort to implement the aforementioned infrastructure between several partners from medical health care and academia. Furthermore, we describe a real‐world use case where blood samples from pediatric patients were analyzed for the presence of genetic polymorphisms and the results were aggregated and further analyzed together with the health‐related patient data in the SwissPK cdw .