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Related Experiment Videos

Metaparadigm: a soft and situation oriented MIS design approach

P Kokol1, B Stiglic, V Zumer

  • 1Faculty of Technical Sciences, University Maribor, Slovenia.

International Journal of Bio-Medical Computing
|May 1, 1995
PubMed
Summary

Medical staff can improve efficiency with user-friendly medical information systems (MIS). A new metaparadigm design approach enhances MIS usability and adoption, easing routine tasks for better patient care.

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Area of Science:

  • Health Informatics
  • Information Systems Design
  • Medical Technology

Background:

  • Medical staff face heavy workloads, limiting time for professional development and research.
  • Computer-based information technology offers potential to streamline routine tasks.
  • Effective Medical Information System (MIS) adoption depends on user-friendly, reliable, and intuitive design.

Purpose of the Study:

  • To introduce a novel design approach called metaparadigm for Medical Information Systems (MIS).
  • To demonstrate the applicability of the metaparadigm approach in MIS design.
  • To address common weaknesses in Information System (IS) design.

Main Methods:

  • The paper introduces the metaparadigm as a holistic, participative, and systemic design approach.

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  • This approach integrates design activities for both the IS design paradigm and the specific IS.
  • The methodology focuses on enhancing the usability and effectiveness of MIS.
  • Main Results:

    • The metaparadigm approach is presented as a method to overcome existing IS design challenges.
    • It aims to improve the reliability, effectiveness, and user-friendliness of MIS.
    • Successful implementation is expected to increase enthusiastic and favorable use of MIS.

    Conclusions:

    • The metaparadigm offers a promising strategy for designing successful Medical Information Systems.
    • This approach can significantly enhance the design and adoption of MIS in healthcare settings.
    • Employing metaparadigms is believed to mitigate common IS design weaknesses, leading to better system outcomes.