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Related Experiment Videos

Practical experience with graphical user interfaces and object-oriented design in the clinical laboratory

I G Wells1, R Y Cartwright, L P Farnan

  • 1Department of Clinical Biochemistry and Clinical Nutrition, St. Luke's Hospital, Guildford, Surrey, UK.

Clinica Chimica Acta; International Journal of Clinical Chemistry
|December 15, 1993
PubMed
Summary
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Laboratory information systems evolved from Artificial Intelligence research, utilizing powerful software and graphical interfaces for efficient design and rapid prototyping. Client-server computing offers significant future potential for pathology informatics.

Area of Science:

  • Computer Science
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Laboratory information systems (LIS) development historically presented challenges in implementation.
  • The evolution of computing power and software design principles offered new approaches.

Purpose of the Study:

  • To describe a computing strategy for laboratory information systems based on Artificial Intelligence principles.
  • To detail the practical application of this strategy for system designers, users, and customers.

Main Methods:

  • Utilized powerful software tools and graphical user interfaces on high-performance desktop computers.
  • Employed rapid prototyping and an object-oriented approach for in-house LIS development.
  • Integrated client-server computing for enhanced system architecture.

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Main Results:

  • The implemented LIS strategy proved stable, flexible, and well-accepted across five laboratory departments.
  • The approach facilitated treating LIS tasks as design problems, enabling efficient development.
  • Client-server computing trials indicated strong potential for future system advancements.

Conclusions:

  • The AI-driven, design-oriented LIS strategy is effective for laboratory environments.
  • User acceptance and system flexibility were key outcomes of the implemented approach.
  • Client-server computing represents a promising direction for the future of pathology informatics.