International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Automating Clinical Trial Reporting with R Markdown and R Shiny

Author(s) Arvind Uttiramerur
Country USA
Abstract This paper discusses the automation of clinical trial reporting through the integration of RMarkdown and R Shiny, two powerful tools in the R programming ecosystem. As clinical trials become increasingly complex, the demand for efficient and reproducible reporting solutions has grown. Traditional methods of preparing Clinical Study Reports (CSRs), safety reports, and regulatory submissions are often labor-intensive and prone to errors. By leveraging RMarkdown, teams can create dynamic, reproducible reports that seamlessly incorporate data analysis, tables, figures, and narrative content, ensuring real-time updates with the latest data. Additionally, Shiny enhances this process by providing interactive capabilities, allowing users to explore data in a customizable environment. This paper highlights the benefits of automating clinical trial reporting, including improved efficiency, reduced errors, and enhanced reproducibility. It also presents practical use cases for medical writing and regulatory submission teams, illustrating how these tools can be integrated into existing workflows to produce high-quality, submission-ready documents. Ultimately, the automation of clinical trial reporting with RMarkdown and Shiny offers a transformative approach to streamline reporting processes and meet stringent regulatory requirements.
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-27
Cite This Automating Clinical Trial Reporting with R Markdown and R Shiny - Arvind Uttiramerur - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.23809
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.23809
Short DOI https://doi.org/g8k5vq
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