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http://dx.doi.org/10.14400/JDC.2020.18.3.179

A Study On the Healthcare Technology Trends through Patent Data Analysis  

Han, Jeong-Hyeon (Division of Industrial Engineering, Ajou University)
Hyun, Young-Geun (Division of Industrial Engineering, Ajou University)
Chae, U-ri (Division of Industrial Engineering, Ajou University)
Lee, Gi-Hyun (Division of Industrial Engineering, Ajou University)
Lee, Joo-Yeoun (Division of Industrial Engineering, Ajou University)
Publication Information
Journal of Digital Convergence / v.18, no.3, 2020 , pp. 179-187 More about this Journal
Abstract
In a social environment where population aging is rapidly progressing, the healthcare service market is growing fast with the increasing interest in health and quality of life based on rising income levels and the evolution of technology. In this study, after keywords were extracted from Korean and US patent data published on KIPRIS from 2000 to October 2019, frequency analysis, time series analysis, and keyword network analysis were performed. Through this, the change of technology trends were identified, which keywords related to healthcare was shifted from traditional medical words to ICT words. In addition, although the keywords in Korean patents are 55% similar to those in the US, they show an absolute gap in patent production volume. In the next study, we will analyze various data such as domestic and international research and can obtain meaningful implications in the global market on the identified keywords.
Keywords
Healthcare; Digital Healthcare; Keyword Analysis; Keyword Network Analysis; Patent;
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Times Cited By KSCI : 10  (Citation Analysis)
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1 M. S. Chung & S. H. Jeong & J. Y. Lee. (2018). Analysis of major research trends in artificial intelligence based on domestic/international patent data. Journal of Digital Convergence, 16(6), 1-9 DOI : 10.14400/JDC.2018.16.6.000   DOI
2 Worldometers international team. (2019). Worldometers. https://www.worldometers.info/
3 J. K. Son. (2018). Smart Healthcare that changes future medical service. The Magazine of the IEEE, 45(11), 35-40
4 Y. J. Kim. (2017). Intelligent healthcare platform industry and international standardization trend. The Journal of The Korean Institute of Communication Sciences, 34(12), 57-63
5 KCERN (2017). Digital Healthcare National Strategy. Seoul : KCERN.
6 Y. C. Woo & S. Y. Lee & W. Choi & C.W. Ahn & O.K.Baek, (2019) Trend of Utilization of Machine Learning Technology for Digital Healthcare Data Analysis. Electronics and Telecommunications Trends, 34(1), 98-110 DOI: 10.22648/ETRI.2019.J.340109
7 E. H. Lee & W. Kim. (2018). Community public smart healthcare model for disease prevention and health extension. Issue&Analysis, (331), 1-25
8 Y. W. Son, (2017) New Concept Medical Device Forecast Analysis Report. Ministry of Food and Drug Safety, 3-121
9 H. Y Son (2018) Google 'Human Age 500 Project', Joongang Ilbo Https://news.joins.com/
10 J. K. Kim & S. J. Lee. (2016). ICT convergence medical industry strategy and implications of major countries. KIEP World Economy Today, 16(23), 1-15
11 Y. E. Kwon & J. S. Kim. (2018). Analysis of National R&D Patent Performance Network in Bio-Healthcare Sector. Journal of the Korea Convergence Society, 9(12), 17-24 DOI : 10.15207/JKCS.2018.9.12.017   DOI
12 M. K. Kim & J. H. Park & C. L. Joo & J. S. Oh. (2016). Industrial Ecosystem Analysis and Activation of Artificial Intelligence in Healthcare. The Korean Institute of Information Scientists and Engineers Conference Proceedings, 720-722
13 K. J. Song. (2019). Google acquires Fitbit... Wearable business reinforcement. Financial News https://www.fnnews.com/
14 S. N. Cho & Y. S. Jeong & C. S. Oh. (2018). An Efficient cryptography for healthcare data in the cloud environment. Journal of Convergence for Information Technology, 8(3), 63-69   DOI
15 S. Y. Shin. (2017). Current status and new research direction for healthcare big data in Korea. Communications of the Korean Institute of Information Scientists and Engineers, 35(5), 16-19
16 J. H. Kim & M. S. Lee & H. C. Kim. (2017). Healthcare in the Internet of Things Major Applications Trends : Focusing on Patient Analysis. Korea Technology Innovation Society Conference, 1507-1521
17 K. R. Cho & S. W. Youn. (2018). Blockchain Use Cases Research. Korea Information Science Society Conference Proceedings, 2062-2064
18 Y. H. Kim & Y. S. Kim. (2019). Trend Analysis of Healthcare Research in Korea using Topic Modeling. Journal of the Korean society for Wellness, 14(1), 253-262 DOI : 10.21097/ksw.2019.02.14.1.253   DOI
19 K. S. Song & K. W. Kim & S. J. Lee. (2018). Identifying Promising Technologies using Patents : A Retrospective Feature Analysis and a Prospective Needs Analysis on Outlier Patents. Technological Forecasting & Social Change, 128, 118-132   DOI
20 D. S. Kim & S. H. Cho & J. S. Lee & K. M. Seok & N. H. Kim. (2018). A Study on the Competitive Analysis of Digital Healthcare in Korea through Patent Analysis, Journal of Digital Convergence, 16(9), 229-237 DOI : 10.14400/JDC.2018.16.9.229   DOI