http://egee-na4.ct.infn.it/biomed/CDSS.html
Medical Error is actually the most important cause of death in the developing world. Medical Error implies actions such as the conclusion of a wrong diagnosis, the prescription of an incorrect treatment or the inefficient execution of a correct treatment. Main Medical Error cause however, is not located on a bad practice from the physician, but on the lack of different filters, which, as in other disciplines, detect problems and raise corrective measures.
One important filter for preventing Medical Error is Clinical Decision Support (CDS). CDS consist on the use of tools that guide the physicians in the diagnosis, selection of treatment or evaluation of a therapy. CDS do not substitute the physicians’ decision, but complement and assist it. Typically, CDS provide a qualitative and quantitative result from a set of input data regarding a patient. CDS Systems make use of data mining and knowledge discovery trained systems to quickly derive the answer from a well-formatted and standardised input.
The quality of CDS Systems lies on the training process. Extensive training requires relevant, significant and correctly classified sample data that is used in a computing intensive process to adjust the internal parameters of classifier engines that drive the classification. Depending on the input data and the extent of training, different accuracy is obtained. It is thus very important to provide tools for training the classifier engines and to provide a framework in which different engines can publish their accuracy and effectiveness. Using different engines world-wide as a whole, one can obtain a more contrasted and well-founded result.
Please consult the introduction slides for further details.
Dr kondekar santosh venketraman
child health specialist at HIS best!
9869803343
pediatrician; seth G S Medical colllege
KEM Hospital - Parel/Bhabha Hospital - Bandra
Mumbai
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