Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
권호 표지
DOI QR코드

DOI QR Code

Design of Service Provision Framework using Medical Big Data

의료 빅 데이터를 활용한 서비스 제공 프레임워크 설계

  • Received : 2018.12.13
  • Accepted : 2019.02.20
  • Published : 2019.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

In this article, we have presented a framework, designed to create new services for businesses, which use large sets of medical data. It is not a simple data analysis step, but it clarifies the purpose of data utilization, analyses it, extracts value from it, and designs a process from actual business or service to an operation. The designed frame work covers the basic architecture and social system model. It was designed, using basic data, which was focused on large sets of medical data, and to be applied to a social system with reference to the designed framework. We are looking forward to create various medical business alliances and services applying the designed framework to the available sets of basic medical data.

본 논문에서는 의료용 빅 데이터를 활용하여 비즈니스와 연계하여 새로운 서비스를 창출하기 위한 프레임 워크를 설계하였다. 단순한 데이터 분석 단계를 나타내는 것이 아니라 데이터의 활용 목적을 명확히 하고, 이에 대한 분석을 수행하여 그 속에서 가치를 추출하고 실제 사업이나 서비스를 운용할 때까지의 과정을 설계한다. 설계된 프레임워크는 기본 아키텍처, 사회 시스템 모델까지 커버할 수 있도록 하였다. 설계된 프레임 워크를 참조하여 사회 시스템에 적용될 수 있도록 디자인하였으며, 기본 데이터로는 의료용 빅 데이터를 중심으로 하였다. 의료용 기본 데이터를 적용한 프레임 워크 설계로 여러 의료용 사업 제휴 및 서비스 창출을 실현할 수 있을 것으로 기대하고 있다.

Keywords

JKOHBZ_2019_v9n2_1_f0001.png 이미지

Fig. 1. Analysis of data and creation of value

JKOHBZ_2019_v9n2_1_f0002.png 이미지

Fig. 2. Appropriate model for business

JKOHBZ_2019_v9n2_1_f0003.png 이미지

Fig. 3. Data utilization process

JKOHBZ_2019_v9n2_1_f0004.png 이미지

Fig. 4. Leverage data across health and healthcare

Table 1. Data bank function1

JKOHBZ_2019_v9n2_1_t0001.png 이미지

Table 2. Data bank function2

JKOHBZ_2019_v9n2_1_t0002.png 이미지

References

  1. K. S. Kim.(2015.08.12). Little and often fills the purse. www.ablenews.co.kr
  2. Y. S. Jeong. (2015). U-healthcare Service Management Scheme for Big Data of Patient Infomation. Journal of Convergence Society for SMB, 5(1), 1-6
  3. T. M. Song.(2013). Korea's Health and Welfare Big Data Trend and Utilization Plan. Science and Technology Policy Institute, 23(3).
  4. J. S. Hwang. (2013). Big data, how to balance privacy and social values. The Journal of Digital Policy & Management, 11(11), 143-153.
  5. M. G. Song. (2016). The suggestion of new big data platform for the strengthening of privacy and enabled of big data. Journal of Digital Convergence, 14(12), 155-164. https://doi.org/10.14400/JDC.2016.14.12.155
  6. Y. Lee, C. H. Song & C. R. Park. (2016). A Study of Guidelines for Coverage in Dangerous Areas. The Case of Japan. Japanese Cultural Studies, 58, 227-252.
  7. J. B. Yi, C. K. Lee & K. J. Cha. (2015). An Analysis of IT Trends Using Tweet Data. Journal of Intelligence and Information Systems, 21(1), 143-159. https://doi.org/10.13088/jiis.2015.21.1.143
  8. D. W. Kim. (2013). Big Data Use Cases of the Sector. Dong-A University Business Research Center, 34, 39-52.
  9. J. J. Hong. (2017). The Improvement Plans of Legal Framework and Regulations of IoT Healthcare Service. KANGWON LAW REVIEW, 50, 801-837. https://doi.org/10.18215/kwlr.2017.50..801
  10. O. H. Kwan, S. H. Nam & C. H. Lee. (2001). A Study on Practical Analyzing and Improving Disaster Management Organization of Korean Government. Korea Institute of Fire Science and Engineering, 15(1), 127-138.
  11. S. H. Oh & S. H. Shin. (2016) Correlation Analysis of Gyeongju Earthquake Waveform and Structural Damage Scale. JOURNAL OF THE ARCHITECTURAL INSTITUTE OF KOREA Structure & Construction, 32(12), 33-44. https://doi.org/10.5659/JAIK_SC.2016.32.12.33