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텍스트마이닝을 통한 의원급 의료기관 및 약국 명칭 유행 분석

Analyzing Trend of Clinic-Level Medical Institutions and Pharmacy Name Using Text Mining Technique

  • 이인성 (부산대학교 한의학전문대학원 한의학과) ;
  • 김남권 (부산대학교 한의학전문대학원 한의학과)
  • Inseong Lee (School of Korean Medicine, Pusan National University) ;
  • NamKwen Kim (School of Korean Medicine, Pusan National University)
  • 투고 : 2024.07.19
  • 심사 : 2024.08.19
  • 발행 : 2024.09.01

초록

Objectives: This study aimed to analyze trend of names of clinic-level medical institutions and pharmacy in Korea to understand interaction between health care provider and consumer. Methods: This study analyzes 60,101 medical clinic names, 27,609 dental clinic names, 25,506 Korean medicine clinic names, and 68,032 pharmacy names. Official records from Korea Local Information Research & Development Institute, data from 1946 to June 2024. Researcher uses text-mining technique including tokenizer of Soynlp and wordcloud to visualize trends. Results: In pharmacy business names, franchise name 'Onnuri' is dominant. In case of dental clinic and Korean medicine clinic, university names like 'Seoul', 'Yeonsei', 'Kyunghee' are dominant. Similarly, medical clinic names include university names but also teaching hospital names like 'Samsung' or 'Seongmo(St. Mary)'. Commonly used word in clinic-level medical institution and pharmacy is 'Uri' and latest trend words are 'Bareun' and '365'. Conclusions: Methods presented in this study for analyzing business names can directly applied to the study of business names in other industries. The results of this study would develop marketing strategies of medical industry. Furthermore, since business name provide concentrated data on market perception and the interaction between consumers and providers, they can be useful for sociology and medical humanities researchers.

키워드

참고문헌

  1. Ministry of Health and Welfare. A study on Analysis of 5th National Medical Care Resources and Utilization Survey, 2022. 
  2. Korea Local Information Research & Development Institute. Local Administration Licensing Data, Available from: URL: https://www.localdata.go.kr/main.do (2024, accessed 2024-07-01 2024). 
  3. Kim, H. J. (2019). Unsupervised Korean Tokenizer and Extractive Document Summarization to Solve Out-of-Vocabulary and Dearth of Data, Ph. D. dissertation, Dept. Ind. Eng., Seoul Natl. Univ., Seoul, Korea, 2019. doi: no doi. 
  4. Korean Laws Information Center. Available from: URL: http://www.law.go.kr (2024, accessed 2024-07-01 2024). 
  5. Onnuri Pharmacy. Available from: URL: http://www.onnuri.co.kr (2024, accessed 2024-07-01 2024). 
  6. Korea Institute of Oriental Medicine. (2024). 2022 Yearbook of Traditional Korean Medicine. 
  7. Shin, Y. S., Shin, J. Y. (2015). Development of Modern Dentistry in Korea. Journal of Korean Dental Association, 53(11), 817-843. doi: no doi. 
  8. Standard Korean Language Dictionary. Available from: URL: https://stdict.korean.go.kr (2024, accessed 2024-07-01 2024). 
  9. Health Policy Institute. (2023). 2022 Yearbook of the Korean Dentistry. 
  10. Standard Korean Language Dictionary. Available from: URL: https://stdict.korean.go.kr (2024, accessed 2024-07-01 2024).