The Development of Intelligent Support Systems for Coding International Classification of Diseases-The Case Study of General Surgery Medical Record

• Main Authors: Chang,Wei-Shu, 張維書
• Other Authors: Hsieh,Wan-Lin
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/52b59a

碩士 === 東海大學 === 工業工程與經營資訊學系 === 107 === Since the inception of the universal health Insurance in 1995, the International Classification code has become an important issue for medical institutions to apply to the health insurance Department for medical expenses. Disease classification code can directly affects DRGs attribution and expense payment. Disease classifiers play an important role on the medical institutions to make sure classification codes are organized based on their architecture and logic. Taiwan Government and some companies develop electronic tool book to assist disease classifiers while searching for correct disease codes. However, disease classifiers should be able to identify key words of diagnosis statement and treatment statement before using the electronic tool book. Therefore, junior disease classifiers still need to spend lots of time and it is easy to cause human errors. This study uses "text mining" to assist in the construction of keyword determination system for principal diagnosis and principal procedure. First of all,summary of case hospitals in 2016 and 2017 of all principal diagnoses and principal procedure, each case assists in judging the keyword's decision word and the corresponding keyword, knowledge base for establishing "principal diagnosis" and "principal procedure" keyword determination system. In addition,and sort out the rules for judging word search,as the design logic of keyword determination system. This study adopts Python for coding and PyInstaller for packing the system into an execution file. Then, the execution file is used to verify the accuracy of the system through a 2018-year medical record case. This study finally confirms that this "keyword determination system for principal diagnosis and principal procedure", can effectively reduce the disease classifier to carry out "principal diagnosis" and "principal procedure" keyword judgment,principal diagnostic case,disease division must take 1620 seconds, deep disease division must take 930 seconds, use the word to determine that the system takes only 450 seconds, and for the principal procedure, disease division must take 2070 seconds, deep disease division must take 1200 seconds, use the word to determine that the system takes only 540 seconds .