Author:
Vielhauer Jakob,Mahajan Ujjwal Mukund,Adorjan Kristina,Benesch Christopher,Oehrle Bettina,Beyer Georg,Sirtl Simon,Johlke Anna-Lena,Allgeier Julian,Pernpruner Anna,Erber Johanna,Shamsrizi Parichehr,Schulz Christian,Albashiti Fady,Hinske Ludwig Christian,Mayerle Julia,Stubbe Hans Christian
Abstract
AbstractOur prototype system designed for clinical data acquisition and recording of studies is a novel electronic data capture (EDC) software for simple and lightweight data capture in clinical research. Existing software tools are either costly or suffer from very limited features. To overcome these shortcomings, we designed an EDC software together with a mobile client. We aimed at making it easy to set-up, modifiable, scalable and thereby facilitating research. We wrote the software in R using a modular approach and implemented existing data standards along with a meta data driven interface and database structure. The prototype is an adaptable open-source software, which can be installed locally or in the cloud without advanced IT-knowledge. A mobile web interface and progressive web app for mobile use and desktop computers is added. We show the software’s capability, by demonstrating four clinical studies with over 1600 participants and 679 variables per participant. We delineate a simple deployment approach for a server-installation and indicate further use-cases. The software is available under the MIT open-source license. Conclusively the software is versatile, easily deployable, highly modifiable, and extremely scalable for clinical studies. As an open-source R-software it is accessible, open to community-driven development and improvement in the future.
Funder
Klinikum der Universität München
Publisher
Springer Science and Business Media LLC