DocumentCode :
1478526
Title :
Pain relief using smart technology: an overview of a new patient-controlled analgesia device
Author :
Rudolph, Heiko ; Packer, John S. ; Cade, J.F. ; Lee, Brian ; Morley, Peter
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Volume :
3
Issue :
1
fYear :
1999
fDate :
3/1/1999 12:00:00 AM
Firstpage :
20
Lastpage :
27
Abstract :
A new adaptive patient-controlled analgesia (PCA) system designed to improve PCA through the use of a variable bolus dose and a variable background infusion is outlined here. The handset allows patients to rate their pain on a scale of 1-10. Data derived from the handset signals are used by an expert algorithm to repeatedly adapt the drug dosage of the bolus and the background infusion according to both pain intensity and patient response to previous dosages. A feasibility study of the system consisted of a small number of randomized, double-blind, crossover clinical trials. The new system was alternated with a conventional system every 12 h. When the new system was active, 12 h questionnaire pain scores were significantly lower and a trend toward fewer bolus requests was found in alternating intervals. In addition, when the new system was used to commence trials, the number of bolus requests were significantly lower and there was a trend toward lower handset scores, lower questionnaire pain scores, and lower verbal pain scores over the entire trial period. The new adaptive PCA system was well accepted by both patients and clinical staff. The trials successfully established the feasibility of the new system. Further development is being carried out as a result.
Keywords :
medical expert systems; medical signal processing; patient treatment; clinical staff; drug dosage; expert algorithm; handset signals; pain intensity; pain rating; pain relief; patient response; patient-controlled analgesia device; questionnaire pain scores; randomized double-blind crossover clinical trials; smart technology; variable background infusion; variable bolus dose; verbal pain scores; Adaptive systems; Australia; Biomedical engineering; Clinical trials; Drugs; Hospitals; Pain; Principal component analysis; Telephone sets; Uncertainty; Analgesia, Patient-Controlled; Clinical Trials as Topic; Humans; Pain;
fLanguage :
English
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-7771
Type :
jour
DOI :
10.1109/4233.748972
Filename :
748972
Link To Document :
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