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Beyond the Web: building information systems with clinical context

S P Narus1, A T Pryor

  • 1Medical Informatics, Intermountain Health Care, Salt Lake City, Utah, USA.

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1996
PubMed
Summary

Clinical information systems require careful technology selection beyond the World Wide Web (W3). This study proposes a solution prioritizing clinical needs for better system design and advocates for researcher involvement in Internet standards development.

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Area of Science:

  • Health Informatics
  • Computer Science
  • Medical Information Systems

Background:

  • Current clinical information systems research heavily favors World Wide Web (W3) technologies.
  • The W3, while suitable for non-sensitive data, presents limitations in certain clinical settings.
  • Existing systems may not adequately address the unique demands of clinical environments.

Purpose of the Study:

  • To propose a novel solution for clinical information systems that overcomes W3 limitations.
  • To emphasize a clinical requirements-first approach in technology application.
  • To advocate for greater engagement of clinical information systems researchers in Internet standards development.

Main Methods:

  • Focused on defining and prioritizing clinical requirements.

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  • Applied appropriate technologies based on identified clinical needs.
  • Analyzed limitations of World Wide Web in sensitive clinical data exchange.

    • Main Results:

    • A proposed solution effectively addresses limitations of W3 in clinical environments.
    • Prioritizing clinical requirements leads to more suitable technology choices.
    • Demonstrated a viable alternative to W3-centric approaches for clinical information systems.

    Conclusions:

    • A requirements-driven approach is essential for effective clinical information system design.
    • Researchers should actively participate in shaping Internet standards for healthcare applications.
    • Optimizing technology selection based on clinical needs enhances system utility and security.