Journal of Society of Preventive Korean Medicine (대한예방한의학회지)

Society of Preventive Korean Medicine (대한예방한의학회)
권호 표지
DOI QR코드

DOI QR Code

Patent Analysis in the Clinical Diagnosis Sector : Before and After COVID-19

COVID-19 전후 의료 진단 특허 출원 동향 분석

  • Han, Yoojin (School of Global Service, Sookmyung Women's University) ;
  • Park, Sunju (Department of Preventive Medicine, College of Korean Medicine, Daejeon University)
  • 한유진 (숙명여자대학교 글로벌서비스학부) ;
  • 박선주 (대전대학교 한의과대학 예방의학교실)
  • Received : 2022.07.16
  • Accepted : 2022.07.30
  • Published : 2022.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

Objectives : This study aims to analyze the patents filed in the clinical diagnosis sector where technologies have been actively developed since the advent of the 4th industrial revolution. Methods : The analysis has been conducted in two ways - the period from 2016 to 2021 and the time points before and after COVID-19 - by visualizing based on the word cloud method. Results : Over two thirds of patents has been filed in the A61B sector (71.8%) and cure, sensor, self diagnosis, control, and breakdown have been observed in the period above. During the overall period (2016~2021), 'ultrasound'(7.5%), 'image'(5.1%), 'skin'(4.0%), 'treatment'(3.4%), and 'artificial intelligence(2.5%)' were the frequently patent applications technologies. In addition, 'ultrasound'(6.2%), 'image'(5.5%), 'skin'(4.0%), 'treatment' (3.7%), and 'portable'(1.7%) appeared most frequently before COVID-19 whereas 'ultrasound(5.5%)', 'artificial intelligence(4.2%)', 'diagnostic device'(1.9%), 'dimentia'(1.6%), and 'diagnostic kit'(1.4%) emerged the most after COVID-19. Conclusion : This study is meaningful in that it showed the technological development trend in the digital diagnosis sector and it was found that the Korean medicine field should contribute to this field more actively in the future.

Keywords

Acknowledgement

이 논문은 2021학년도 대전대학교 교내학술연구비 지원에 의해 연구되었음

References

  1. Marketsandmarkets. In-Vitro Diagnostics/IVD Market by Product and Service (Instrument, Kits), Technology (Immunoassay, MDx, Hematology, Urinalysis), Application (Diabetes, Oncology, Cardiology, Nephrology, Infectious Diseases) End User (Hospitals) - Global Forecast to 2026. 2022.
  2. Frost&Sullivan. Analysis of the Global In Vitro Diagnostics Market. 2014.
  3. Schwab, K. The fourth Industrial Revolution, NY: Currency Books. 2016.
  4. National Institute of Medical Device Safety Information, 2020 In Vitro Diagnostic Devices Policy Report. 2020.
  5. Korean Intellectual Property Strategy. COVID-19 Patent Information Navigation 2022. [Available from: https://www.kipo.go.kr/ncov/sub0102.html.
  6. Act on In Vitro Diagnostic Medical Devices Article 2, (2020).
  7. Lee SH, Jung S, Lee JH, Kang JY. Digital Diagnosis Technologies and Trend Analysis. Korea Evaluation Institute of Industrial Technology. 2018.
  8. Korea Technology and Information Promotion Agency for SMEs. In Vitro Diagnosis Industry Trend and Market Forecast. 2020.
  9. Reasrach and Markets. In Vitro Diagnostics (IVD) Market Insights, 2020-2027: Market Size & Share, Trends, Opportunities, Players, and More: Research and Markets; 2020 [Available from: https://www.globenewswire.com/news-release/2020/02/27/1991604/0/en/In-Vitro-Diagnostics-IVD-Market-Insights-2020-2027-Market-Size-Share-Trends-Opportunities-Players-and-More.html.
  10. National Institute of Food and Drug Safety Evaluation. R&D Issue Report in Food and Medicine-COVID-19 Diagnostic Devices Market and Development Trend. 2021.
  11. Korea Health Industry Development Institute (KHIDI). COVID-19 Diagnostic Devices Industry Analysis and Export Forecast. KHIDI: KHIDI; 2020.
  12. Reasrach and Markets. $926.6 Million Worldwide In Vitro Diagnostics (IVD) Quality Control Industry to 2027 - Impact of COVID-19 on the Market: Research and Markets; 2021 [Available from: https://www.globenewswire.com/newsrelease/2021/06/01/2239298/28124/en/926-6-Million-Worldwide-In-Vitro-Diagnostics-IVD-Quality-Control-Industry-to-2027-Impact-of-COVID-19-on-the-Market.html.
  13. Jin HJ, Lee YS, Yoo HN, Lee SW, Analyzing Patent Trend of Mibyeong. Society of Preventive Korean Medicine 2015;19(3):; 21-28.
  14. Han YJ, Park S. An analysis of natural products patents. Society of Preventive Korean Medicine 2016;20(2):77-86
  15. Son YB, Kim S, Choi Y. ICT Trend Analysis Based on Research Papers and Patents Journal of the Korea Convergence Society 2021; 12(2):1-18. https://doi.org/10.15207/JKCS.2021.12.2.001
  16. Kim D, Cho SH, Lee J, Kim MS, Kim N-H. A Study on the Competitive Analysis of Digital Healthcare in Korea through Patent Analysis. Journal of Digital Convergence. 2018;16(9):229-37. https://doi.org/10.14400/JDC.2018.16.9.229
  17. Narin F, Noma E, Perry R. Patents as indicators of corporate technological strength. Research Policy. 1987;16(2-4), 143-155. https://doi.org/10.1016/0048-7333(87)90028-X
  18. Shim R. A study on the patent information analysis on electronic commerce(G06Q) based on the International Patent Classification (IPC) code: Focusing on the patent applications by 'N', the biggest Internet company in Korea. Journal of the Korea Institute of Information and Communication Engineering. 2013;19(6):1499-1505. https://doi.org/10.6109/JKIICE.2015.19.6.1499
  19. Ernst H. Patent portfolios for strategic R&D planning. Journal of Engineering and Technology Management. 1998;15(4):279-308. https://doi.org/10.1016/S0923-4748(98)00018-6
  20. Huang H, Chiang, LY, Chen DZ. Constructing a patent citation map using bibliographic coupling: A Study of Taiwan's high-tech companies. Scientometrics. 2003;58(3):489-506. https://doi.org/10.1023/B:SCIE.0000006876.29052.bf
  21. Kay N, Newman N, Youtle J, Porter AL, Rafols I. Patent overlay mapping: Visualizing technological distance," Journal of the Association for Information Science and Technology. 2014;65(12):2432-2443. https://doi.org/10.1002/asi.23146
  22. Kim D, Cho Y, Lee S, Song J. Technology-Based Reading Intervention Trends Analysis: Focused on patent documents. CNU Journal of Educational Studies. 2021;42(3);237-266. https://doi.org/10.18612/CNUJES.2021.42.3.237
  23. Korean Intellectual Property Office. Industry (KSIC) - Patent(IPC) Concordance Table. 2021.
  24. Korean Intellectual Property Office. Patent Application Trend. 2019.
  25. Viegas FB, Wattenberg M. Timelines tag clouds and the case for vernacular visualization. 2008;15(4):49-52.
  26. Lee E, Chu K, Lee D. A study on recent trend analysis in consumer research applying Word Cloud. Journal of product Research. 2019;37(1):1-7. https://doi.org/10.36345/KACST.2019.37.1.001
  27. Wu Y, Provan T, Wei F, Liu S, Ma KL. Semantic-preserving word clouds by seam carving. Computer Graphics Forum. 2011;30(3):741-750. https://doi.org/10.1111/j.1467-8659.2011.01923.x
  28. Buchin K, Creemers D, Lazzarotto A, Speckmann B, Wulms J. Geo word clouds. Proceedings of the IEEE Pacific Visualization Symposium. 2016;141-151
  29. Collins C, Viegas FB, Wattenberg M, Parallel tag clouds to explore and analyze faceted text corpora. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology. 2009;91-98.
  30. Lee B, Riche NH, Karlson AK, Carpendale S. Sparkclouds: Visualizing trends in tag clouds. IEEE Transactions on Visualization and Computer Graphic. 2010;16(6):1182-1189. https://doi.org/10.1109/TVCG.2010.194
  31. Chi W, Wu Y, Liu S, Wei F, Zhou MX, Qu H. Context preserving dynamic word cloud visualization. Proceedings of the IEEE Pacific Visualization Symposium. 2010;121-128.
  32. Philip R. Word cloud analysis and single word summarisation as a new paediatric educational tool: Results of a neonatal application. Journal of Paediatrics and Child Health. 2020;56:873-877. https://doi.org/10.1111/jpc.14760
  33. Kim M. A Study on the Relationships between the Communication and Performance of Airbnb Properties. Journal of Hotel & Resort. 2020;19(6):5-23.
  34. Yoon J, Seo C. Research trend analysis by using text-mining techniques on the convergence studies of AI and healthcare technologies. Journal of Information Technology Services. 2019;18(2):123-141. https://doi.org/10.9716/KITS.2019.18.2.123