Search research articles

Search research articles

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

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Biochemical relapse-free survival in 400 patients treated with I-125 prostate brachytherapy: the Guildford experience.

Prostate cancer and prostatic diseases·2008

Same author

Food and waterborne infections associated with package holidays.

Journal of applied microbiology·2003

Same author

Foodborne diseases in travellers.

World health statistics quarterly. Rapport trimestriel de statistiques sanitaires mondiales·1997

Same author

Client/Server computing: is this the future direction for the clinical laboratory?

Clinica chimica acta; international journal of clinical chemistry·1996

Same author

Travellers' diarrhoea.

British medical bulletin·1993

Same author

A study of workload units in five microbiology laboratories.

Journal of clinical pathology·1985

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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.

Related Experiment Videos

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.