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Twenty-eight patients (33 hands) were reviewed an average 2.5 years after an open palm technique combined with partial fasciectomy for the correction of Dupuytren's disease. They were assessed by diathesis evaluation and Tubiana's score. Results show a recurrence rate of 33.5% (3% severe), an extension rate of 51.5% and an overall complication rate of 21%(More)
The WHO has developed and is currently testing a classification for patient safety (ICPS). Analyzing the ICPS in the light of classificatory and ontology principles as well as international standards we conclude that its qualification as a classification or taxonomy is misleading. Acknowledging its merits as a standard reporting instrument for change(More)
Although the health care sector has already been subjected to a major computerization effort, this effort is often limited to the implementation of standalone systems which do not communicate with each other. Interoperability problems limit health care applications from achieving their full potential. In this paper, we propose the use of Semantic Web(More)
Introduction / objectives Proper surveillance of infectious diseases poses special challenges to information technology when it comes to data collection, including wide-area, multi-source and trans-border collection and aggregation of infectious disease and drug resistance information. In this project, we present a novel approach to efficiently monitor(More)
Subject of study was the analysis of behavioral characteristics of 51 10-year-old ex-NICU patients at home and at school. Parental assessment of child behavior proved not to differ from the normative data. Teachers however reported more problematic behaviors, particularly with regard to the introverted behavior in boys. On the basis of these findings one(More)
Introduction / objectives The proper management of infectious conditions often requires optimized clinical decisions based on a complex decision making process. Computers are able to aid this process only if the medical knowledge used is machine readable, which requires scrupulous preparation and modeling. Here we describe and evaluate a dynamic model(More)
Biomedical engineers meticulously incorporated knowledge of motor control and learning in their rehabilitation robots. In most cases this has led to sophisticated machines with the capability to measure quantitatively particular events in patients and train them according to some biomechanical or neurological rules. Overall, patients like these instruments(More)
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