Expert Assistant For A Clinical Hematology Blood Cell Analyzer

Carole Young; Jai Navlakha

doi:10.1117/12.969340

21 March 1989 Expert Assistant For A Clinical Hematology Blood Cell Analyzer

Carole Young, Jai Navlakha

Proceedings Volume 1095, Applications of Artificial Intelligence VII; (1989) https://doi.org/10.1117/12.969340
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

The COULTER COUNTER^® Model S Plus Series instruments are automated clinical hematology blood cell analyzers which measure the count, volume and population distribution of red blood cells, white blood cells and platelets, and hemoglobin from patient blood samples. In the clinical laboratory environment, instrument startup consists of a number of component and system checks to assure proper operation and calibration to insure reliable results are produced on patient samples. If a startup check fails, troubleshooting procedures are provided to assist the operator in determining the cause of the error. Troubleshooting requires expertise in instrument operation, troubleshooting procedures and evaluation of the data produced. This expert system is designed and developed to assist the startup diagnostics of COULTER COUNTER Model S Plus Series instruments. The system reads data produced by the instrument and validates it against expected values. If the values are not all correct, then the troubleshooting starts. Troubleshooting is handled for the most common subsystem problems and those which the operator has the equipment and knowledge to handle, problems that are cheapest to fix and problems that are quickest to fix. The expert system restarts the startup sequence whenever troubleshooting has been successful or recommends calling Customer Service when unsuccessful.

Citation Download Citation

Carole Young and Jai Navlakha "Expert Assistant For A Clinical Hematology Blood Cell Analyzer", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); https://doi.org/10.1117/12.969340

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KEYWORDS

Control systems

Blood

Electronics

Instrument modeling

Artificial intelligence

Hematology

Diagnostics

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