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Inhaled medications are crucial for managing chronic obstructive pulmonary disease (COPD) and asthma. They are essential for effective treatment and control, ensuring optimal respiratory health and well-being. Inhaled medication delivers drugs directly to the lungs, providing a rapid onset of action and reducing systemic side effects compared to oral or injectable medications. Three primary types of inhalation devices are used to administer these medications: nebulizers, metered-dose inhalers...
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HEDEA: A Python Tool for Extracting and Analysing Semi-structured Information from Medical Records.

Anshul Aggarwal1, Sunita Garhwal1, Ajay Kumar1

  • 1Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, India.

Healthcare Informatics Research
|May 18, 2018
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A new Python tool, Healthcare Data Extraction and Analysis (HEDEA), extracts structured information from unstructured health records. This enables better analysis of patient data for medical research.

Keywords:
Data CollectionInformation Storage and RetrievalMedical RecordsMedical ReportMetadataRegular Expression

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Area of Science:

  • Medical Informatics
  • Health Data Science
  • Computational Health

Background:

  • Digital health records are increasingly common but often unstructured.
  • Unstructured clinical text hinders efficient data analysis and statistical evaluation.
  • Extracting meaningful insights from diverse medical records is a significant challenge.

Observation:

  • A Python-based tool, Healthcare Data Extraction and Analysis (HEDEA), was developed.
  • HEDEA utilizes a regular expression-based approach for data extraction.
  • The system is designed to handle various medical record formats.

Findings:

  • The HEDEA system successfully extracts and analyzes health information from diverse sources.
  • The tool demonstrates functionality across a wide range of data formats.
  • It enables the creation of analysis reports and charts from a central database.

Implications:

  • Facilitates the use of previously inaccessible health record data for research.
  • Supports data-driven decision-making in the Indian healthcare sector.
  • Enables patient-approved data analysis for medical research purposes.