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i2b2t2: Unlocking Visualization for Clinical Research.

Daniel R Harris1, Darren W Henderson1

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Summary
This summary is machine-generated.

We developed i2b2t2, a tool that transforms Informatics for Integrating Biology and the Bedside (i2b2) queries into easily visualized data sets. This empowers researchers to explore clinical data without advanced technical skills, accelerating scientific discovery.

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Area of Science:

  • Biomedical Informatics
  • Clinical Data Warehousing
  • Data Visualization

Background:

  • Clinical data warehouses often use the Informatics for Integrating Biology and the Bedside (i2b2) query tool.
  • Extracting and visualizing data from these warehouses can be technically challenging for researchers.
  • There is a need for user-friendly tools to facilitate clinical data exploration.

Purpose of the Study:

  • To introduce i2b2t2, a novel tool for extracting and visualizing clinical data from i2b2 data warehouses.
  • To enable researchers to easily explore queried clinical populations without requiring extensive technical expertise.
  • To streamline the process of data set release and encourage self-service data visualization for research.

Main Methods:

  • The i2b2t2 tool extracts data from i2b2 queries.
  • It converts the extracted data into a portable and easily explorable format.
  • The tool facilitates the creation of both simple visual summaries and complex, robust visualizations.

Main Results:

  • i2b2t2 successfully extracts and visualizes i2b2 queries into a user-friendly format.
  • Researchers can quickly obtain visual summaries of queried populations.
  • The tool supports the development of intricate and extendable visualizations.

Conclusions:

  • i2b2t2 simplifies clinical data exploration for researchers.
  • The tool can be offered as a service by data warehouses to expedite research data release.
  • i2b2t2 promotes self-service data visualization, enabling custom exploration and publication.