A study of the medical record interface to natural language processing.

The information about a patient tends to be handled more on a computer system. However, it is not sufficiently rational enough because of the fundamental difference between man and a computer. Up to now, man has treated information using a natural language. Therefore, if it can be applied to handle medical information electrically, that will become more rational. For this reason, we developed a new classification method that interfaces a computer with the human being, using a natural language. This method was named as a situation-oriented medical record, and this depicts changes in a situation by the case frame from a viewpoint of man's cognition. Moreover, the medical communication by a natural language, which is currently used when a patient changes a hospital, was analyzed in order to confirm the validity of this method. In addition, we developed a prototype system that allows computers to implement this kind of communication.