![]() Undoubtedly one of the greatest advantages of digital storage is the possibility of performing search and consultation to information stored in it. It has been gradually observed a change in medical information storage from paper to digital medium under the form of Electronic Medical Record (EMR). The results of this experiment indicate the viability of extracting clinical findings from chest x-ray reports through coupling MT and NLP. The reference was formed by the opinion of two radiologists. We obtained sensitivity and specificity of 1 and 0.71 for the first condition and 0.97 and 0.97 for the second respectively. The objective of this experiment was to investigate normal reports and reports with device description on a set of 165 chest x-ray reports. The result of serial coupling of MT an NLP is tagged text which needs further investigation for extracting clinical findings. To use this processor on Portuguese medical texts, chest x-ray reports were Machine Translated into English. The proposed methodology uses the specialized natural language processor MEDLEE developed for English language. Natural language processing is an approach that can unlock clinical information from free texts. Most of essential information contained on Electronic Medical Record is stored as text, imposing several difficulties on automated data extraction and retrieval.
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