DocumentCode :
1612206
Title :
Optimizing long-term treatment of rheumatoid arthritis with systematic documentation
Author :
Simonic, K.M. ; Holzinger, A. ; Bloice, M. ; Hermann, J.
Author_Institution :
Inst. for Med. Inf., Stat. & Documentation, Med. Univ. of Graz, Graz, Austria
fYear :
2011
Firstpage :
550
Lastpage :
554
Abstract :
About 1% of the population suffers from rheumatoid arthritis. They not only experience pain, but during the course of the disease their mobility is reduced due to a deterioration of their joints. To retard this destructive process an assortment of drugs are available today, however, for optimal results both medication and dosage have to be tailored for each individual patient. RCQM is a clinical information system that moderates this process: within the confines of the examination routine, physicians gather more than 100 clinical and functional parameters (time needed <; 10 minutes). The amassed data are morphed into more useable information by applying scoring algorithms (e.g. Disease Activity Score (DAS), Health Assessment Questionnaire (HAQ)), which is subsequently interpreted as a function of time. The resulting DAS trends and patterns are ultimately used for treatment optimization and as a measure for the quality of patient outcome. Graphical data acquisition and information visualization support the entire interaction between doctor and patient. Both are equally informed of the course of the disease and, in practice, treatment decisions are made jointly. The task of documentation becomes an integral part of the dialog with the patient. This yields an increased level of decision quality, higher compliance, and verifiable patient empowerment.
Keywords :
data acquisition; data visualisation; diseases; drug delivery systems; medical information systems; optimisation; orthopaedics; patient rehabilitation; patient treatment; RCQM; clinical information system; destructive process; drug assortment; graphical data acquisition; information visualization; long-term rheumatoid arthritis treatment optimization; scoring algorithms; systematic documentation; treatment decision making; Arthritis; Diseases; Documentation; Joints; Pain; Clinical Information Systems; Decision Support; Longitudinal Data Analysis; Patient Empowerment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on
Conference_Location :
Dublin
Print_ISBN :
978-1-61284-767-2
Type :
conf
Filename :
6038866
Link To Document :
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