Electronic data capture in resource-limited settings using the lightweight clinical data acquisition and recording system

Creators:	Vielhauer, Jakob and Mahajan, Ujjwal M. and Adorjan, Kristina and Benesch, Christopher and Oehrle, Bettina and Beyer, Georg and Sirtl, Simon and Johlke, Anna-Lena and Allgeier, Julia and Pernpruner, Anna and Erber, Johanna and Shamsrizio, Parichehr and Schulz, Christian and Albashiti, Fady and Hinske, Ludwig C. and Mayerle, Julia and Stubbe, Hans C.
Title:	Electronic data capture in resource-limited settings using the lightweight clinical data acquisition and recording system
Item Type:	Article or issue of a publication series
Journal or Series Title:	Scientific Report
Article:	19056
Additional Information:	Open Access
Date:	17 August 2024
Divisions:	Gesundheitsmanagement
Abstract (ENG):	Our 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.
Forthcoming:	No
Language:	English
Uncontrolled Keywords:	Clinical trial ; Electronic data capture ; Open-source ; Progressive web app ; Clinical data management
Link eMedia:	Download
Citation:	Vielhauer, Jakob and Mahajan, Ujjwal M. and Adorjan, Kristina and Benesch, Christopher and Oehrle, Bettina and Beyer, Georg and Sirtl, Simon and Johlke, Anna-Lena and Allgeier, Julia and Pernpruner, Anna and Erber, Johanna and Shamsrizio, Parichehr and Schulz, Christian and Albashiti, Fady and Hinske, Ludwig C. and Mayerle, Julia and Stubbe, Hans C. (2024) Electronic data capture in resource-limited settings using the lightweight clinical data acquisition and recording system. Scientific Report, 14, Art.: 19056. ISSN 2045-2322

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