A Data Pipeline for Enhancing Quality of MAUDE-Based Studies

Authors

• Yuheng Shi
• Yue Yu
• Yubo Feng
• Yang Gong

Language

English

Publication Date

8-22-2024

Journal

Studies in Health Technology and Informatics

DOI

10.3233/SHTI240629

PMID

39176599

Abstract

The increasing use of MAUDE reports in patient safety research highlights the importance of understanding the processing and dissemination of open-access MAUDE data. However, the absence of a structured data pipeline undermines the reproducibility and transparency of studies relying on MAUDE data. In response, we conducted a comprehensive analysis of a recent study on endoscopic clips, assessing methodologies and results. We advocate for implementing an extract, transform, and load (ETL) pipeline, utilizing openFDA and integrating keyword search strategies and data visualization techniques. This approach aims to enhance the quality of MAUDE-based studies, ensuring their reproducibility and transparency. Moreover, ETL serves as a cornerstone in data engineering, enabling real-time data management and quality assurance, thus promoting the sustainability and collaboration of MAUDE-based patient safety research.

Keywords

Patient Safety, Humans, Reproducibility of Results, MAUDE, data pipeline, endoscopic clips, visualization

Published Open-Access

yes

Recommended Citation

Shi, Yuheng; Yu, Yue; Feng, Yubo; et al., "A Data Pipeline for Enhancing Quality of MAUDE-Based Studies" (2024). Faculty, Staff and Student Publications. 862.
https://digitalcommons.library.tmc.edu/uthshis_docs/862