Real-time trend analysis for an intensive care unit patient data management system

Abstract

A real-time trend analysis module design which is currently being developed for the patient data management system (PDMS) at the pediatric intensive care unit of the Montreal Children's Hospital is discussed. The PDMS is based on a personal computer acquiring, in real time, patient data from a local area network of 14 bedside monitors, and displaying their trends graphically, among other tasks. The system is based on an IBM model 50 running under the OS/2 multitasking operating system and uses the 8514/A high resolution color video display. This work presents the design and implementation of the module based on two different supervised neural networks using the general delta rule learning mechanisms. The integration of such a module with a diagnosis expert system is also discussed.<>