MedEx - Data Analytics for Medical Domain Experts in Real-Time.

Clicks: 181
ID: 36160
2019
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Ranked #132 of 170 articles by views in Studies in health technology and informatics

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Abstract
Translational research in the medical sector is dependent on clear communication between all participants. Visualization helps to represent data from different sources in a comprehensible way across disciplines. Existing tools for clinical data management are usually monolithic and technically challenging to set up, others require a transformation into specific data models while providing mostly non-interactive visualizations or being specialized to very particular use cases. Statistical programming languages (R, Julia) on the other hand offer great flexibility in data analytics, but are harder to access for clinicians with little to no programming expertise. Our software, the Medical Data Explorer (MedEx), aims to fill this gap as light-weight, intuitive, web-based solution with simple data import routes. We couple a modern dynamic web interface with an in-memory database solution for near real-time responsiveness. MedEx provides multiple visualization options (Scatterplot, correlation heatmap, bar chart, grouped boxplot, grouped histogram, coplot) to get an easy overview on the loaded data as well as to perform pattern discovery and elementary statistics. We demonstrate the utility of MedEx, by example, on data from the cardiology research warehouse of Heidelberg University Hospital. In summary, our tool empowers clinicians to conduct their own interactive exploratory data analysis.
Reference Key
kindermann2019medexstudies Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kindermann, Aljoscha;Stepanova, Ekaterina;Hund, Hauke;Geis, Nicolas;Malone, Brandon;Dieterich, Christoph;
Journal Studies in health technology and informatics
Year 2019
DOI
10.3233/SHTI190818
URL
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