Computerized interpretation of laboratory tests: an overview of systems, basic principles and logic techniques.

Area of Science:

• Medical Informatics
• Laboratory Medicine
• Clinical Pathology

Background:

• The increasing volume and complexity of laboratory testing necessitate advanced reporting methods.
• Manual interpretation of extensive laboratory data is becoming increasingly challenging.
• Automated solutions are required to handle the massive influx of laboratory information.

Purpose of the Study:

• To explore the development of computerized interpretive reporting schemes for laboratory data.
• To identify key factors for designing optimal laboratory reports.
• To investigate the application of logic techniques in automated reporting systems.

Main Methods:

• Analysis of the diagnostic process to inform report design.
• Exploration of various reporting complexities, from simple ranges to mathematical modeling.
• Study of established logic techniques for implementation in reporting systems.
• Development and evaluation of the LABDOC computerized reporting system.

Main Results:

• Identified critical factors for designing effective laboratory interpretive reports.
• Demonstrated the feasibility of using logic techniques in automated reporting.
• The LABDOC system serves as a case study for these principles.

Conclusions:

• Computerized systems are crucial for managing modern laboratory data volumes and complexity.
• A thorough understanding of the diagnostic process is fundamental for developing effective interpretive reporting.
• Logic techniques offer a robust framework for building sophisticated laboratory reporting tools.