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Related Experiment Video

Updated: Apr 12, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Normalized medical information visualization.

Ricardo Sánchez-de-Madariaga¹, Adolfo Muñoz¹, Roberto Somolinos¹

¹Telemedicine and Information Society Department, Health Institute "Carlos III" (ISCIII), c/Sinesio Delgado, 4 - 28029 Madrid, Spain.

Studies in Health Technology and Informatics

|May 21, 2015

Summary

This summary is machine-generated.

A novel programming language enhances the visualization of standardized medical data. This tool empowers non-IT healthcare professionals to better interpret complex health information.

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Area of Science:

Medical Informatics
Health Information Technology
Computer Science

Background:

Current methods for visualizing normalized medical information are insufficient.
The ISO/EN 13606 standard facilitates interoperability but lacks effective visualization tools.
There is a need for user-friendly tools for non-IT professionals to access and interpret medical data.

Purpose of the Study:

Introduce a new mark-up programming language for visualizing ISO/EN 13606 dual model-based normalized medical information.
Address the gap in visualization techniques for normalized medical data.
Develop a tool accessible to medical non-IT professionals.

Main Methods:

Development of a novel mark-up programming language.
Implementation of visualization capabilities for dual model-based normalized medical information.
Testing and validation of the language's usability for non-IT users.

Main Results:

A new programming language has been successfully developed.
The language effectively facilitates and improves the visualization of ISO/EN 13606 dual model-based normalized medical information.
This represents the first approach to visualizing normalized medical information using a dedicated programming language.

Conclusions:

The new mark-up programming language offers a significant improvement for visualizing normalized medical information.
It provides a valuable tool for medical non-IT professionals, enhancing their ability to work with standardized health data.
This work pioneers the visualization of normalized medical information, paving the way for future developments.