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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Simonic, K.M. Holzinger, A. Bloice, M. Hermann, J. |
| Copyright Year | 2011 |
| Description | Author affiliation: Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Auenbruggerplatz 2, A-8036 Graz, Austria (Simonic, K.M.; Holzinger, A.; Bloice, M.) || Division of Rheumatology and Immunology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 15, A-8036 Graz, Austria (Hermann, J.) |
| 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. |
| Starting Page | 550 |
| Ending Page | 554 |
| File Size | 855666 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781612847672 |
| e-ISBN | 9781936968152 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-23 |
| Publisher Place | Ireland |
| Access Restriction | Subscribed |
| Rights Holder | ICST |
| Subject Keyword | Pain Decision Support Documentation Clinical Information Systems Patient Empowerment Longitudinal Data Analysis Arthritis Joints Diseases |
| Content Type | Text |
| Resource Type | Article |
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