Description:
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In cooperation with the Austrian Society for Rheumatology the project partners have developed a software for structured reporting of rheumatic diseases.
The goal has been to offer general practitioners an easy-to-handle tool for a computer-based documentation of patient data covering the most important findings and symptoms for rheumatic diseases. An integration of the software in existing computer environments should be feasible and a basic differential diagnosis should be offered. The basic documentation consists of several data input screens (administrative patient data, history of illness, clinical data, laboratory exams, X-ray findings). The differential diagnosis spectrum comprises the following major groups of rheumatologic diseases:
- back pain due to mechanical trauma,
- inflammatory diseases of spine,
- disease of the spine due to metabolic disorders,
- inflammatory joint diseases,
- metabolic joint diseases,
- degenerative joint diseases, and Rheumatologic soft tissue diseases.
Indistinct cases a further differential diagnosis support is provided (suspicion of chronic polyarthritis, psoriatric arthropathy, etc.). As a result, a number of diagnostic hypotheses (with a maximum of three diagnosis) are presented. In addition, the system contains an international classification scheme of rheumatological diseases.
Evaluation: In an evaluation study 75 patients were tested and the overall accuracy of the top-level diagnostic hypothesis generated by the system was 91%. However, sensitivity and specificity vary considerable among the various diagnostic groups. As an example, the study showed that the sensivity of well-defined disorders (e. g. Chronic polyarthritis) reaches almost 100%, whereas it is as low as 50% in some other diseases (e. g. gout) whose characteristic findings and symptoms are suppressed by treatment (drug medication) in many cases.
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Klaus-Peter Adlassnig, klaus-peter.adlassnig@meduniwien.ac.at
Core Unit for Medical Statistics and Informatics (MSI), Medical University of Vienna, Spitalg. 23, A-1090 Vienna, Phone: +43-1-40400-6668, Internet: http://www.meduniwien.ac.at/msi/mes/
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