Classification & Autocoding System of Neurosurgical Diseases: Using Personal Computer.
- Author:
Hee Jin YANG
1
;
Young Gyu KIM
;
Dong Gyu KIM
;
Hee Won JUNG
;
Kil Soo CHOI
;
Dae Hee HAN
Author Information
1. Departments of Neurosurgery, Seoul National University College of Medicine, Seoul, Korea.
- Publication Type:Original Article
- Keywords:
Autocode system;
Personal computer;
Data base;
Neurosurgery
- MeSH:
Classification*;
Humans;
Information Storage and Retrieval;
Microcomputers*;
Neurosurgery;
Statistics as Topic
- From:Journal of Korean Neurosurgical Society
1991;20(8):719-723
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
The large amount of hospital dat makes management complicated and nowadays the data can barely be managed without computerization. The authors classified and encoded the neurosurgical diseases to develop the "Autocode System", the automatic code transformation system using Fox-ProR, which is a database management program. Any diagnostic entity which is input by the user is transformed into a specific code automaticall. Such a procedure excludes the input error originating from mistyping or naming an unclassified entity. This program is not perfect yet, but it is thought to be effective in the neurosurgical department for data storage and searching. Further modification, functional improvement, and ultimately, unifying the system among the hospitals can make cooperative study and systematic data analysis possible.
