ARRES: COMPUTER-ASSISTED DECISION SUPPORT SYSTEM FOR THE POST-ANAESTHESIA CARE UNIT

Περίληψη σε άλλη γλώσσα

The routine use of pulse oximeters, non-invasive blood pressure monitors and electrocardiogram monitors has considerably improved patient care in the post anaesthesia period. Using an automated data collection system (ARRES), the occurrence of several adverse events frequently revealed by these monitors has been investigated. The ARRES is an on-line Post Anaesthesia Care Unit clinical management system designed to minimise artifact, demonstrate the feasibility of collecting and processing data, and identify variables that predict adverse events. Results indicated that the overall incidence of hypoxia was 35%, hypertension 12%, hypotension 8%, tachycardia 25% and bradycardia 1%. Discriminant analysis was able to correctly predict classification of about 90% of patients into normal versus hypertensive or hypotensive groups. Use of the ARRES system, increased the yield of adverse physiological events to 50%, up from 20% in our retrospective study in which data were collected manually. The ...
περισσότερα
Πρέπει να είστε εγγεγραμένος χρήστης για έχετε πρόσβαση σε όλες τις υπηρεσίες του ΕΑΔΔ  Είσοδος /Εγγραφή

Όλα τα τεκμήρια στο ΕΑΔΔ προστατεύονται από πνευματικά δικαιώματα.

DOI
10.12681/eadd/4713
Διεύθυνση Handle
http://hdl.handle.net/10442/hedi/4713
ND
4713
Συγγραφέας
ΚΕΤΙΚΙΔΗΣ, ΠΑΝΑΓΙΩΤΗΣ
Ημερομηνία
1990
Ίδρυμα
United Kingdom. City University of London. Department of Systems Science. Research Centre for Measurement and Information in Medicine
Χώρα
Ηνωμένο Βασίλειο
Γλώσσα
Αγγλικά