Data mining aims to excavate new knowledge from existing information. When it comes to test mining, a better way is to take the context into account. In this paper, the authors present text mining procedures based on a neural network framework in order to identify indicative factors in the form of keywords within the medical record narratives. These keywords and their weight/value suggest an innovative way for justifying a CT scan request. Their purpose is to extend the reach of diagnosis beyond traditional processing of clinical data towards an efficient utilization of the narratives in medical records.