Inferencing Strategies for Automated Alerts on Critically Abnormal Laboratory and Blood Gas Data

1 January 1994

book chapter
Published by Springer Nature

p. 157-165
https://doi.org/10.1007/978-1-4612-2698-7_10

Abstract

A relatively insignificant amount of human thought is required to recognize critically abnormal events. After a few weeks of training on the ward, most medical students can recognize seriously abnormal results of common laboratory tests and take some definitive action, such as calling a supervising physician. The “gestalt” by which laboratory results are appreciated as clinically dangerous is complex and challenging to duplicate in a modern digital computer.

Keywords

CREATININE KINASE
ALERT CONDITION
PATIENT DATA MANAGEMENT SYSTEM
MYOCARDIAL CONTUSION
CHLORIDE BICARBONATE

This publication has 1 reference indexed in Scilit:

The PDMS as a focal point for distributed patient data
Journal of Clinical Monitoring and Computing, 1988