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Analysis and Application Methods of Patent Map for Performance Diffusion of Translational Research in Health Technology Research and Development

보건의료 R&D 연구성과 활용·확산을 위한 특허맵 분석 및 활용방안 연구

  • Cheon, Su-Hwan (Office for R&D promotion, Korea Health Industry Development Institute (KHIDI)) ;
  • Lee, Kyung-Min (Office for R&D promotion, Korea Health Industry Development Institute (KHIDI)) ;
  • Kim, Mi-Kyoung (Office for R&D promotion, Korea Health Industry Development Institute (KHIDI)) ;
  • Je, Young-Tae (Office for R&D promotion, Korea Health Industry Development Institute (KHIDI)) ;
  • Shin, Sang-Hun (Office for R&D promotion, Korea Health Industry Development Institute (KHIDI)) ;
  • Kim, Myung-Hwan (Office for R&D promotion, Korea Health Industry Development Institute (KHIDI)) ;
  • Kim, Dong-Seok (Office for R&D promotion, Korea Health Industry Development Institute (KHIDI)) ;
  • Park, Seong-Ho (Office for R&D promotion, Korea Health Industry Development Institute (KHIDI)) ;
  • Kim, Gi-Tae (Office for R&D promotion, Korea Health Industry Development Institute (KHIDI)) ;
  • Kwak, Jung-Ae (IP Valuation & Licensing Team, Commercialization Support Division, Korea Invention Promotion Association (KIPA)) ;
  • Jeon, Hye-Kyoung (School of Information and Communication Engineering, Inha University) ;
  • Kwon, Jun-Young (Department of Biological Engineering, Inha University) ;
  • Kim, Dong-Il (Department of Biological Engineering, Inha University) ;
  • Kim, Byung-Soo (Office for R&D promotion, Korea Health Industry Development Institute (KHIDI)) ;
  • Park, Noh-Hyun (Office for R&D promotion, Korea Health Industry Development Institute (KHIDI))
  • 전수환 (한국보건산업진흥원 R&D진흥본부) ;
  • 이경민 (한국보건산업진흥원 R&D진흥본부) ;
  • 김미경 (한국보건산업진흥원 R&D진흥본부) ;
  • 제영태 (한국보건산업진흥원 R&D진흥본부) ;
  • 신상훈 (한국보건산업진흥원 R&D진흥본부) ;
  • 김명환 (한국보건산업진흥원 R&D진흥본부) ;
  • 김동석 (한국보건산업진흥원 R&D진흥본부) ;
  • 박성호 (한국보건산업진흥원 R&D진흥본부) ;
  • 김기태 (한국보건산업진흥원 R&D진흥본부) ;
  • 곽정애 (한국발명진흥회 지식재산평가거래팀) ;
  • 전혜경 (인하대학교 컴퓨터정보공학과) ;
  • 권준영 (인하대학교 공과대학 생물공학과) ;
  • 김동일 (인하대학교 공과대학 생물공학과) ;
  • 김병수 (한국보건산업진흥원 R&D진흥본부) ;
  • 박노현 (한국보건산업진흥원 R&D진흥본부)
  • Received : 2013.09.30
  • Accepted : 2013.12.06
  • Published : 2013.12.30

Abstract

Translational research (TR) as high quality research can accelerate collaboration strongly between biotechnology-based researchers and clinical-research experts for overcoming diseases. TR facilitates basic science translated to clinical efficacy and effectiveness from bench (basic science) to bedside (clinical practice) for the enhancement of human health. Disease-oriented TR programs were defined as unilateral, bilateral and multilateral TR in this patent performance analysis. Patent performance was measured in a R&D project on Health and Medical Technology to enhance the productivity of R&D investment on disease-oriented TR in Health Technology (HT). Patent Map (PM) analysis and Bibliometrics were conducted to collect information for the assessment of research patents of TR programs. Futhermore, PIAS (Patent Information Analysis System) and Thinklear programs were applied for quantitative and qualitative analysis successfully. These indicate that multi-dimensional analysis of patent performance for disease-oriented TR could promote the connection of R&D-IP (Research and Development-Intellectural Property) and R&BD (Research and Business Development) supporting system significantly.

Keywords

References

  1. Bartlett, S., and M. Heilig (2013) Translational approaches to medication development. Current topics in behavioral neurosciences. 13: 543-582.
  2. Drolet, B. C., N. M. Lorenzi, R. I. Providence, and T. Nashville (2011) Translational research: understanding the continuum from bench to bedside. Transl. Res . 157: 1-5. https://doi.org/10.1016/j.trsl.2010.10.002
  3. Yu, D. (2011) Translational research: current status, challenges and future strategies. Am. J. Transl. Res. 3: 422-433
  4. Keramaris, N. C., N. K. Kanakaris, C. Tzioupis, G. Kontakis, and P. V. Giannoudis (2008) Translational research: from benchside to bedside. Injury. Int. J. Care Injured. 39: 643-650. https://doi.org/10.1016/j.injury.2008.01.051
  5. Khanna, I. (2012) Drug discovery in pharmaceutical industry: Productivity challenges and trends. Drug Discovery Today. 17: 1088-1102. https://doi.org/10.1016/j.drudis.2012.05.007
  6. Harvey, A., A. Brand, S. T. Holgate, L. V. Kristiansen, H. Lehrach, A. Palotie, and B. Prainsack (2012) The future of technologies for personalised medicine. New Biotechnology. 29: 625-633. https://doi.org/10.1016/j.nbt.2012.03.009
  7. Thornicroft, G., H. Lempp, and M. Tansella (2011) The place of implementation science in the translational medicine continuum. Psychol. Med. 41: 2015-2021. https://doi.org/10.1017/S0033291711000109
  8. Ogilvie, D., P. Craig, S. Griffin, S. Macintyre, and N. J. Wareham (2009) A translational framework for public health research. BMC Public Health. 9: 116. https://doi.org/10.1186/1471-2458-9-116
  9. Plebani, M. (2008) The changing scenario in laboratory medicine and the role of laboratory professionals in translational medicine. Clin. Chim. Acta. 393: 23-26. https://doi.org/10.1016/j.cca.2008.03.013
  10. Kotlan, B., D. F. Stroncek, and F. M. Marincola (2009) Turning laboratory findings into therapy: a marathon goal that has to be reached. Pol. Arch. Med. Wewn. 119: 586-594.
  11. Lee, S., B. Yoon, and Y. Park (2009) An approach to discovering new technology opportunities: Keyword-based patent map approach. Technovation. 29: 481-497. https://doi.org/10.1016/j.technovation.2008.10.006
  12. Kim, Y. G., J. H. Suh, and S. C. Park (2008) Visualization of patent analysis for emerging technology. Expert Systems with Applications. 34: 1804-1812. https://doi.org/10.1016/j.eswa.2007.01.033
  13. Wang, X., and Y. Tang (2012) A case study of technology innovation approach: The construction of technology forecasting system. International Conference on Information Management, Innovation Management and Industrial Engineering. 1: 150-153.
  14. Liu, C. Y. and S. Y. Luo (2007) Applying patent information to tracking a specific technology. Data Science Journal. 6: 114-120. https://doi.org/10.2481/dsj.6.114
  15. Tseng, Y. H., C. J. Lin, and Y. I. Lin (2007) Text mining techniques for patent analysis. Information Processing and Management. 43: 1216-1247. https://doi.org/10.1016/j.ipm.2006.11.011
  16. Hsu, F. C., A. J. C. Trappey, C. V. Trappey, J. L. Hou, and S. J. Liu (2006) Technology and knowledge document cluster analysis for enterprise R&D strategic planning. International Journal of Technology Management. 36: 336-353. https://doi.org/10.1504/IJTM.2006.010271
  17. Kang, K. N. and Y. S. Lee (2010) Patent activities and publication performance of academic scientists in the life science field: case of South Korea. Portland International Center for Management of Engineering and Technology. 2242-2245.
  18. Chen, D. Z., W. Y. C. Lin,, and M. H. Huang (2007) Using essential patent index and essential technological strength to evaluate industrial technological innovation competitiveness. Scientometrics. 71: 101-116. https://doi.org/10.1007/s11192-007-1655-6