Electronic data capture in resource-limited settings using the lightweight clinical data acquisition and recording system
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Electronic data capture in resource-limited settings using the lightweight clinical data acquisition and recording system. / 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.
in: SCI REP-UK, Jahrgang 14, Nr. 1, 17.08.2024, S. 19056.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Electronic data capture in resource-limited settings using the lightweight clinical data acquisition and recording system
AU - Vielhauer, Jakob
AU - Mahajan, Ujjwal Mukund
AU - Adorjan, Kristina
AU - Benesch, Christopher
AU - Oehrle, Bettina
AU - Beyer, Georg
AU - Sirtl, Simon
AU - Johlke, Anna-Lena
AU - Allgeier, Julian
AU - Pernpruner, Anna
AU - Erber, Johanna
AU - Shamsrizi, Parichehr
AU - Schulz, Christian
AU - Albashiti, Fady
AU - Hinske, Ludwig Christian
AU - Mayerle, Julia
AU - Stubbe, Hans Christian
N1 - © 2024. The Author(s).
PY - 2024/8/17
Y1 - 2024/8/17
N2 - 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.
AB - 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.
KW - Humans
KW - Software
KW - Mobile Applications
KW - User-Computer Interface
KW - Electronic Health Records
KW - Databases, Factual
KW - Data Collection/methods
KW - Resource-Limited Settings
U2 - 10.1038/s41598-024-69550-w
DO - 10.1038/s41598-024-69550-w
M3 - SCORING: Journal article
C2 - 39153991
VL - 14
SP - 19056
JO - SCI REP-UK
JF - SCI REP-UK
SN - 2045-2322
IS - 1
ER -