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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, Vol. 14, No. 1, 17.08.2024, p. 19056.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Vielhauer, J, Mahajan, UM, Adorjan, K, Benesch, C, Oehrle, B, Beyer, G, Sirtl, S, Johlke, A-L, Allgeier, J, Pernpruner, A, Erber, J, Shamsrizi, P, Schulz, C, Albashiti, F, Hinske, LC, Mayerle, J & Stubbe, HC 2024, 'Electronic data capture in resource-limited settings using the lightweight clinical data acquisition and recording system', SCI REP-UK, vol. 14, no. 1, pp. 19056. https://doi.org/10.1038/s41598-024-69550-w

APA

Vielhauer, J., Mahajan, U. M., Adorjan, K., Benesch, C., Oehrle, B., Beyer, G., Sirtl, S., Johlke, A-L., Allgeier, J., Pernpruner, A., Erber, J., Shamsrizi, P., Schulz, C., Albashiti, F., Hinske, L. C., Mayerle, J., & Stubbe, H. C. (2024). Electronic data capture in resource-limited settings using the lightweight clinical data acquisition and recording system. SCI REP-UK, 14(1), 19056. https://doi.org/10.1038/s41598-024-69550-w

Vancouver

Vielhauer J, Mahajan UM, Adorjan K, Benesch C, Oehrle B, Beyer G et al. Electronic data capture in resource-limited settings using the lightweight clinical data acquisition and recording system. SCI REP-UK. 2024 Aug 17;14(1):19056. https://doi.org/10.1038/s41598-024-69550-w

Bibtex

@article{40c22b50d46141c09e6b29d23fc2639f,
title = "Electronic data capture in resource-limited settings using the lightweight clinical data acquisition and recording system",
abstract = "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.",
keywords = "Humans, Software, Mobile Applications, User-Computer Interface, Electronic Health Records, Databases, Factual, Data Collection/methods, Resource-Limited Settings",
author = "Jakob Vielhauer and Mahajan, {Ujjwal Mukund} and Kristina Adorjan and Christopher Benesch and Bettina Oehrle and Georg Beyer and Simon Sirtl and Anna-Lena Johlke and Julian Allgeier and Anna Pernpruner and Johanna Erber and Parichehr Shamsrizi and Christian Schulz and Fady Albashiti and Hinske, {Ludwig Christian} and Julia Mayerle and Stubbe, {Hans Christian}",
note = "{\textcopyright} 2024. The Author(s).",
year = "2024",
month = aug,
day = "17",
doi = "10.1038/s41598-024-69550-w",
language = "English",
volume = "14",
pages = "19056",
journal = "SCI REP-UK",
issn = "2045-2322",
publisher = "NATURE PUBLISHING GROUP",
number = "1",

}

RIS

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 -