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Development of Markup Language for Medical Record Charting: A Charting Language
Won-Mo Jung1, Younbyoung Chae1, Bo-Hyoung Jang2
1Acupuncture and Meridian Science Research Center, College of Korean Medicine, Kyung Hee University.
Studies in Health Technology and Informatics
|August 12, 2015
Summary
This study introduces Charting Language, a novel markup language for electronic medical records (EMRs). It simplifies structuring complex EMR data, making information extraction more efficient for healthcare practitioners.
Area of Science:
- Medical Informatics
- Computer Science
Background:
- Collecting electronic medical records (EMRs) is crucial for modern healthcare.
- Structuring EMR data is a significant challenge, demanding considerable time and effort from medical practitioners.
- Existing methods for EMR data collection often result in unstructured or difficult-to-process information.
Purpose of the Study:
- To introduce a new markup language, Charting Language, designed to simplify the structuring of electronic medical records.
- To leverage programming language principles to enhance the usability and efficiency of medical record charting.
- To facilitate easier information extraction from dynamic EMR data.
Main Methods:
- Development of a novel markup language named Charting Language.
- Incorporation of beneficial features from established programming languages into Charting Language.
- Application of the Charting Language for structuring text data in dynamic medical scenarios.
Main Results:
- Charting Language provides a structured format for medical record charting.
- The proposed language simplifies the labor-intensive task of structuring EMR data.
- Information extraction from dynamic EMR data becomes more feasible and efficient using Charting Language.
Conclusions:
- Charting Language offers a promising solution to the challenges of EMR data structuring.
- The adoption of Charting Language can lead to improved efficiency in medical data management and analysis.
- This approach enhances the utility of electronic medical records for clinical practice and research.
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