DOI QR코드

DOI QR Code

Analyzing Core Tehnology and Technological Convergence in Healthcare Using Topic Modeling and Network Analysis: Focus on Patent Information

토픽모델링과 네트워크분석을 활용한 헬스케어 분야의 핵심기술과 기술융합 분석 연구: 특허정보를 중심으로

  • Kim, Eun-Jung (Electronics and Telecommunications Research Institute) ;
  • Choi, Hee-Jin (Electronics and Telecommunications Research Institute)
  • Received : 2022.02.25
  • Accepted : 2022.03.10
  • Published : 2022.05.31

Abstract

In this study we aim to identify the core technologies that play central roles along with the peripheral technologies that contribute to the technology convergence in digital healthcare. A total of 376 korean-patents related to healthcare were gathered from 2011 to 2020, and a topic modeling technique and a network analysis were conducted on the collected data. Six major topics were derived through the topic modeling procedure which are "data collection", "signal measurement", "health management", "data transmission", "diagnostic treatment", and "measurement device". Each of the six topics were analyzed to depict relations among technologies, specify the convergence characteristics, and identify the core-technology through centrality analysis. The study illustrates the present status of digital healthcare technology development and the technological convergence in South Korea and is anticipated to help establish policies to foster healthcare industry.

본 연구는 융합산업으로 각광받고 있는 헬스케어 분야를 중심으로 기술융합을 이루는 요소기술과 핵심기술을 파악하여 기술융합 현상을 분석하고자 하였으며, 이를 위해 2011년부터 2020년까지의 국내 특허 중 헬스케어와 관련 있는 특허 총 376개를 수집하여 토픽모델링과 네트워크 분석을 수행하였다. 첫째, 토픽모델링 분석 결과 "데이터수집·분석", "생체신호측정", "건강관리", "디지털정보 수집 및 전송", "진단·치료", "측정 진단장치" 총 6개의 주요 토픽이 도출되었다. 둘째, 앞서 분석한 토픽별로 네트워크 분석을 수행하여 기술간 연결망 구조를 파악한 후 기술융합 특성을 확인하고, 중심성 지표를 통해 핵심기술을 도출하였다. 본 연구의 핵심인 국내 헬스케어의 핵심·요소기술동향 및 기술융합도 분석결과는, 기업의 신규 가치창출을 위한 제품·서비스개발 방향성을 수립하거나, 학계 및 정부의 헬스케어 산업을 육성·지원하기 위한 전략 및 정책적인 방향성을 수립하는데 기초자료로 활용될 수 있을 것이다.

Keywords

Acknowledgement

This work was supported by Electronics and Telecommunications Research Institute (ETRI) grant funded by the Korean government [22ZV1100]

References

  1. S. I. Chang, "The direction of industrial structure change and policy tasks in the era of the 4th industrial revolution," Planning and Policy, vol. 424, pp. 22-30, Feb. 2017.
  2. E. O'Day, "Top 10 Emerging Technologies of 2020 Geneva Switzerland: Special Report," World Economic Forum, Nov. 2020.
  3. Korean Venture Capital Association, Venture Capital Market Brief [Internet]. Available: http://www.kvca.or.kr/Program/board/listbody.html?a_gb=board&a_cd=15&a_item=0&sm=4_1&page=1&po_no=5495
  4. IRS Global, Digital healthcare Global trend and future strategy, IRS Global, Sep. 2020.
  5. Government of Republic of Korea, The Korean New Deal [Internet]. Available: https://english.moef.go.kr/pc/selectTbPressCenterDtl.do?boardCd=N0001&seq=4948
  6. K. H. Baek, "Issues of Civil Law on the Industrialization of Healthcare," The Jounal of Comparative Private Law, vol. 27, no. 3, pp. 31-63, Aug. 2020.
  7. Y. R. Cho and E. S. Kim, "A Corporate Strategy on Technological Convergence through Analyzing Patent Networks and Strategic Indicators," The Journal of Intellectual Property, vol. 9, no. 4, pp. 191-221, Dec. 2014. https://doi.org/10.34122/jip.2014.12.9.4.191
  8. J. P. Lee and S. Y. Yoo, "Taking a leap forward as an innovator by utilizing technology convergence trends," LG Economic Research Institute Knowledge Report, no. 1, Nov. 2013.
  9. E. -J. Kim, D. -H. Roh, and H. -Y. Park, "Analysis of Influential Factors in the Relationship between Innovation Efforts Based on the Company's Environment and Company Performance: Focus on Small and Medium-sized ICT Companies," Journal of Technology Innovation, vol. 25, no. 4, pp. 107-143, Nov. 2017. https://doi.org/10.14383/SIME.2017.25.4.107
  10. K. H. Choi and E. S. Yang, "A Study on the Trend of Healthcare Device Technology by Biometric Signal," Journal of the Korea Entertainment Industry Association, vol. 14, no. 2, pp. 165-176, Feb. 2020. https://doi.org/10.21184/jkeia.2020.2.14.2.165
  11. T. K. Lee, "Digtal Healthcare Research Trend based on Social Media Data," Journal of The Korea Contents Association, vol. 20, no. 3, pp. 515-526, Mar. 2020. https://doi.org/10.5392/JKCA.2020.20.03.515
  12. A. Park, J. Song, and S. B. Lee, "Healthcare service analysis using big data," Journal of The Korea Society of Computer and Information, vol. 25, no.4, pp. 149-156, Apr. 2020. https://doi.org/10.9708/JKSCI.2020.25.04.149
  13. S. -H. Ha, and Y. J. Geum, "Categorizing Sub -Categories of Mobile Application Services using Network Analysis: A Case of Healthcare Applications," The Jounal of Society for e-Business Studies, vol. 25, no. 3, pp. 15-40, Aug. 2020.
  14. Y. E. Yoon and G. J. Suh, "Research Trend Analysis on Smart healthcare by using Topic Modeling and Ego Network Analysis," Journal of Digital Contents Society, vol. 19, no. 5, pp. 981-993, May. 2018. https://doi.org/10.9728/dcs.2018.19.5.981
  15. H. Park, K. Kim, S. Choi, and J. Yoon, "A patent intelligence system for strategic technology planning," Expert Systems with Applications, vol. 40, no. 7, pp. 2373-2390, Jun. 2013. https://doi.org/10.1016/j.eswa.2012.10.073
  16. I. Um, "Analysis of the Dynamics of Korea's Technological Competitiveness Using U.S. Patent Grants," Science & Technology Policy, vol. 3, no. 1, pp. 87-126, Jun. 2020.
  17. T. K. Kim, H. R. Choi, and H. C. Lee, "A Study on the Research Trends in Fintech using Topic Modeling," Korea Academy Industrial Cooperation Society, vol. 17, no. 11 pp. 670-681, Nov. 2016.
  18. S. Baek, H. Lee, and H. Kim, "Analysis of Artificial Intelligence's Technology Innovation and Diffusion Pattern: Focusing on USPTO Patent Data," Journal of the Korea Contents Association, vol. 20, no. 4, pp. 86-98, Apr. 2020. https://doi.org/10.5392/JKCA.2020.20.04.086
  19. Y. W. Sawng, D. H. Lim, and M. S. Kim, "Technology Commercialization Strategy of Eco-friendly Convergence Technology: Based on Patent Analysis and Business Ecosystem of Electric Vehicle," Journal of Korea Technology Innovation Society, vol. 22, no. 5, pp. 780-804, Oct. 2019. https://doi.org/10.35978/jktis.2019.10.22.5.780
  20. Korean Intellectual Property Office, "2020 CPC Manual," KKPrint, 2020.
  21. D. M. Blei, A. Y. Ng, and M. I. Jordan,rdan, M. I., "Latent dirichlet allocation," Journal ofmachine Learning research, vol. 3, pp. 993-1022, Jan. 2003.
  22. J. H. Park, and H. J. Oh, "Comparison of Topic Modeling Methods for Analyzing Research Trends of Archives Management in Korea: focused on LDA and HDP," Journal of Korean Library and Information Science Society, vol. 48, no. 4, pp. 235-258, Dec. 2017. https://doi.org/10.16981/kliss.48.4.201712.235
  23. K. Y. Kwahk, Social Network Analysis, South Korea, Seoul: Cheonglam Pub., 2017.