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

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 chall...

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Published in:Studies in Health Technology & Informatics Vol. 267; pp. 142 - 150
Main Authors: KINDERMANN, Aljoscha, STEPANOVA, Ekaterina, HUND, Hauke, GEIS, Nicolas, MALONE, Brandon, DIETERICH, Christoph
Format: tables/charts Journal Article
Published: Sage Publications Inc. 2019
Online Access:View this record in EBSCOhost
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      jtl: Studies in Health Technology & Informatics
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      dt: 2019
      vid: 267
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        atl: MedEx - Data Analytics for Medical Domain Experts in Real-Time.
      aug:
        au:
          KINDERMANN, Aljoscha
          STEPANOVA, Ekaterina
          HUND, Hauke
          GEIS, Nicolas
          MALONE, Brandon
          DIETERICH, Christoph
        affil: Klaus Tschira Institute for Integrative Computational Cardiology
      sug:
        subj:
          Data Analytics
          Health Informatics
          Software Design
          Data Analysis, Computer Assisted Methods
          Data Management
          Programming Languages
          Graphical User Interface
      ab: 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.
      pubtype: Academic Journal
      doctype:
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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