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A system to capture physical examination data suitable for paediatric practice.

K P Dawson1, G A Findlay

  • 1Christchurch School of Medicine, Christchurch Hospital, New Zealand.

Journal of Paediatrics and Child Health
|August 1, 1990
PubMed
Summary
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This study introduces a user-friendly computer system for collecting physical examination data in children, adaptable for various medical conditions like acute asthma. The system facilitates data analysis and can be expanded for broader clinical applications.

Area of Science:

  • Pediatric Medicine
  • Clinical Informatics
  • Data Management

Background:

  • Accurate data collection is crucial for diagnosing and managing pediatric conditions.
  • Existing methods for capturing physical examination data can be cumbersome and time-consuming.
  • Standardizing data collection improves consistency and facilitates research.

Purpose of the Study:

  • To describe a novel, user-friendly method for capturing physical examination data in children.
  • To demonstrate the system's applicability in pediatric respiratory diseases, specifically acute asthma.
  • To highlight the system's adaptability for diverse clinical data collection needs.

Main Methods:

  • Utilized a personal computer with a menu-driven software package for intuitive data entry.

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  • Emphasized minimal computing knowledge requirement for ease of use by healthcare professionals.
  • Integrated functionality for hard copy output and data transfer to statistical packages for analysis.

    • Main Results:

    • Successfully demonstrated a method for efficient data capture during pediatric physical examinations.
    • The system proved effective for collecting data on children with respiratory conditions, including acute asthma.
    • The software's design allows for easy adaptation to various physical examination data collection scenarios.

    Conclusions:

    • The described system offers a practical and accessible solution for pediatric clinical data acquisition.
    • This adaptable method enhances the potential for robust data collection and subsequent analysis in pediatrics.
    • The approach supports improved data management for a wide range of physical examination findings in children.