Design And Implementation Of Structured System For Electronic Medical Records

The post-structured processing of electronic medical records is to extract information and knowledge from all kinds of text and then store them for information retrieval and knowledge discovery.The traditional way of dealing with medical records is that the doctors use their subjective experience to recognize the important information contained in the medical records.This way wastes time and energy.Foreign countries use medical natural language to extract information but this way can only extract information mapped to standard terms.Domestic research focuses on medical records or report which has single type and form content.All of the above processing method of electronic medical records does not meet the requirements of the system.This paper uses the definition of document set,extraction of text pattern to design and implement this structured system for electronic medical records and the system can extract information from various electronic medical records.This paper proposes a methods based on pattern matching to structure electronic medical records and the main works in this thesis as follow: first we summarize the text characteristcs of electronic medical records and put forward a method to structure medical records: classify electronic medical records and define indicators,then use these indicators to structure electronic medical records.We also propose to use pattern extraction and pattern matching to further extract information.We design the architecture of this system.This system can be divided into three modules: coarse-grained extraction module,the pattern extraction module,fine-grained extraction module.Then we introduce the functions and processing procedure of each module.In the coarse-grained extraction module,we use the indicators to extract information;in the pattern extraction module,we propose to use word segmentation and part-of-speech tagging to extract model and using the DTW algorithm to calculate similarity.Then we construct the pattern library.In the fine-grained extraction module,we use the pattern library and the output rule of every pattern to further extractinformation.We design the class diagram of the system and implement this system.Then we assess this system from the aspects such as information extraction accuracy and system running time.The results of experiment show that this system can extract medical record information from the text with high accuracy,so this system can provide strong support for the medical work.