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Making heterogeneous medical databases interoperable

M H Williams1, J Hu

  • 1Department of Computing and Electrical Engineering, Heriot-Watt University, Riccarton, Edinburgh, UK.

Computer Methods and Programs in Biomedicine
|June 1, 1994
PubMed
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Fragmented patient records across healthcare systems hinder data retrieval. This study proposes a novel architecture to address data representation and storage challenges, improving access to comprehensive patient information.

Area of Science:

  • Health Informatics
  • Computer Science
  • Data Management

Background:

  • Growing adoption of computer systems for patient data storage across diverse healthcare settings.
  • Significant challenges arise from data fragmentation and lack of standardization in electronic health records.
  • Difficulty in accessing and retrieving complete patient information due to disparate data systems.

Purpose of the Study:

  • To address the problem of fragmented patient records.
  • To propose a novel architecture for overcoming data retrieval challenges.
  • To improve the coordination and standardization of patient data representation and storage.

Main Methods:

  • Analysis of two key aspects of patient record fragmentation.
  • Description of a proposed architectural solution.

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  • Focus on data representation and storage standardization.
  • Main Results:

    • Identified critical issues in current fragmented patient record systems.
    • Developed a conceptual architecture to mitigate data fragmentation.
    • Outlined a framework for enhanced data retrieval and integration.

    Conclusions:

    • The proposed architecture offers a viable solution to the fragmentation of patient records.
    • Standardization and coordination are crucial for efficient healthcare data management.
    • Improved data accessibility can lead to better patient care and clinical decision-making.