J Korean Soc Med Inform Search


Healthc Inform Res > Volume 6(1); 2000 > Article
Journal of Korean Society of Medical Informatics 2000;6(1):23-37.
DOI: https://doi.org/10.4258/jksmi.2000.6.1.23    Published online March 31, 2000.
Statistical Analysis of Diseases with Discharge Data Set
Sun Won Seo, Young Chae Cho, Woo Sung Park, Kwang Hwan Kim
1Department of Medical Record, Kankook University Hospital, Korea.
2Department of Preventive Medicine and Public Health, College of Medicine, Chungnam National University, Korea.
3Department of Pediatrics, Dankook University Hospital, Korea.

This study was performed to investigate the factors concerning the structures of diseases in Korea. The data were collected from the 11 tertiary referral hospitals and the number of investigated patients were 242.038 and the diagnoses were based on 21 chapters of Korean Standard Classification of Diseases(KCD-3). The results were as fellows: 1. The number of investigated patients were 242,038 Among them male(51.1%) was a little more than female 48.9%). In age distribution, the group of 45-64 was the highest(25.5%) and 30-49year age group was 20.9%. under l4year age group was 20.3%. and above 65years age group was the lowest( 15.3%). 2. In single diagnosis group division by 21 chapters of KCD-3. diseases of the respiratory system were the highest(11.3%) , injury. poisoning and the next were certain other consequences of external causes( l0.39% ) and neoplasms(10.0%) . The low est were diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism(0.7%). in single diagnosis group, sex, age. season, region and operation and procedures were statistically significant in the ×2-test analysis. 3. In multiple diagnoses group. neoplasms were the highest (17.0%). and the next were pregnancy, chirdbirth and the puerperium(l0.6%) and the diseases of the circulatory systems(9.2%). The lowest was diseases of the blood and blood forming organs and certain disorders involving the immune mechanism(0.6%). In multiple diagnoses group, sex. ace. season, region and operation and procedures were statistically significant iii the ×2-test analysis.

Key Words: Disease analysis, KCD-3, Single diagnosis group, multiple diagnoses group
Share :
Facebook Twitter Linked In Google+ Line it
METRICS Graph View
  • 0 Crossref
  • 1,493 View
  • 21 Download
Related articles in Healthc Inform Res

Application of Social Network Analysis to Health Care Sectors2012 March;18(1)


Browse all articles >

Editorial Office
1618 Kyungheegung Achim Bldg 3, 34, Sajik-ro 8-gil, Jongno-gu, Seoul 03174, Korea
Tel: +82-2-733-7637, +82-2-734-7637    E-mail: hir@kosmi.org                

Copyright © 2024 by Korean Society of Medical Informatics.

Developed in M2community

Close layer
prev next