When patternrecognition is used without adequateknowledge and reasoning (e.g. incomplete patterns without recognition of common variations or subcategories) the risk of error is high. Clinical patterns should be learned but not reliedon. They should not be rigid, ratherthey should be continually tested and revised. Having fixed patterns can lead to errorsand hinder learning variations or sub-categories. That is, if fixedpatterns are all you look for,you miss variations and dont learn newpatterns. Poor use of pattern recognition can lead to centring,where pattern identification is biased by a key feature and competing patterns (i.e. differentialdiagnosis) are not tested for.
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