DOI QR코드

DOI QR Code

Personal Health Record/Electronic Medical Record Data Trading Model for Medical My Data Environments

마이데이터 환경에서 개인의 전자 건강/의료 데이터 활용을 위한 데이터 거래모델

  • Oh, Hyeon-Taek (Intelligent Tech Team, KAIST Institute for IT Convergence) ;
  • Yang, Jin-Hong (Department of Healthcare IT, INJE University)
  • Received : 2020.06.15
  • Accepted : 2020.06.24
  • Published : 2020.06.30

Abstract

Today, data subjects should be considered to utilize various personal data. To support this paradigm, the concept of "My Data" has proposed and has realized in various industrial sectors, including medial sectors. Based on the concept of the medical My Data, this paper proposes a personal health record (PHR) and an electronic medical record (EMR) data trading model. Particularly, this paper proposes a system model to support the medical My Data environment and relevant procedure among stakeholders for PHR/EMR data trading that ensures the rights of data subjects. Based on the proposed system model, this paper also proposes various mathematical models to analyze the behavior of stakeholders and shows the feasibility of the proposed data trading model that satisfies the requirements of both data subjects and data consumers.

개인정보를 포함한 다양한 데이터를 활용하기 위해서는 정보주체의 권리를 보장하며 데이터 활용을 할 수 있는 모델이 필요하다. 정보주체를 고려하는 개인정보 활용 패러다임의 변화는 마이데이터를 기반으로 하는 다양한 데이터 활용 모델을 만들어내고 있으며, 다양한 개인정보가 생겨나고 다뤄지는 의료분야에서도 이러한 움직임이 진행되고 있다. 이번 논문에서는 마이데이터 기반 개인 건강/의료 데이터 활용 생태계가 확산되었을 때, 생겨날 수 있는 이해관계자들 간의 데이터 거래모델을 제안하였고 다양한 실험 결과를 기반으로 한 수학적 모델링을 통해 정보주체와 데이터 활용자 모두의 요구사항을 만족할 수 있는 개인 건강/의료 데이터 거래모델이 성립할 수 있음을 보였다.

Keywords

References

  1. KISDI, "A Study on the Internet Policy Framework in the era of 4th Industrial Revolution", Report 2018-0-00373, Oct. 2018.
  2. World Economic Forum, Rethinking Personal Data: A New Lens for Strengthening Trust, 2014.
  3. E. Ramirez, J. Brill, M. K. Ohlhausen, J. D. Wright, and T. McSweeny, "Data Brokers: A Call for Transparency and Accountability", Federal Trade Commission, May 2014.
  4. A. Rieke, H. Yu, D. Robinson, and J. von Hoboken, "Data Brokers in An Open Society", Open Society Foundations, November 2016.
  5. M. Little, "Personal Data Futures: The Disrupted Ecosystem - How user-control of personal data could 'game-change' Big Data and reconfigure the Internet", OVUM, January 2014.
  6. Regulation (EU) 2016/679 of the European Parliament and of the Council on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation), OJ 2016/L 119/1, 27 April 2016.
  7. Y. Lee, "A Study on the Revision Trend of Data 3 Act", The Journal of Comparative Private Law, vol. 27, no. 2, pp. 423-463, May 2020.
  8. pde.cc. Personal data ecosystem consortium - empowering people with their personal data. [Online]. Available: https://pde.cc/
  9. P. Kumaraguru and L. F. Cranor, "Privacy Indexes: A Survey of Westin's Studies," in CMU-ISRI-5-138. Institute for Software Research International, School of Computer Science, Carnegie Mellon University, December 2005.
  10. M. Karampela, S. Ouhbi, and M. Isomursu, "Connected Health User Willingness to Share Personal Health Data: Questionnaire Study", J Med Internet Res, vol. 21, no. 11, November 2019.
  11. E. F. Franklin, H. M. Nichols, L. House, J. Buzaglo, and K. Thiboldeaux, "Cancer Patient Perspectives on Sharing of Medical Records and Mobile Device Data for Research Purposes." Journal of Patient Experience, May 2020.
  12. Ponemon Institute, "Privacy and Security in a Connected Life : A Study of European Consumers". Trend Micro and Ponemon Institute, 2015.
  13. Z. Su, Q. Qi, Q. Xu, S. Guo, and X. Wang, "Incentive scheme for cyber physical social systems based on user behaviors," IEEE Transactions on Emerging Topics in Computing, 2018.
  14. Tian, J. Li, W. Li, B. Ramesh, and Z. Cai, "Optimal contract-based mechanisms for online data trading markets," IEEE Internet of Things Journal, vol. 6, October 2019.
  15. X.-B. Li and S. Raghunathan, "Pricing and disseminating customer data with privacy awareness," Decision Support Systems, vol. 59, pp. 63-73, 2014. https://doi.org/10.1016/j.dss.2013.10.006
  16. J. Parra-Arnau, "Optimized, direct sale of privacy in personal data marketplaces," Information Sciences, vol. 424, pp. 354-384, 2018. https://doi.org/10.1016/j.ins.2017.10.009
  17. H. Oh, S. Park, G. M. Lee, H. Heo and J. K. Choi, "Personal Data Trading Scheme for Data Brokers in IoT Data Marketplaces," IEEE Access, vol. 7, pp. 40120-40132, 2019. https://doi.org/10.1109/ACCESS.2019.2904248
  18. H. Oh, S. Park, G. M. Lee, J. K. Choi and S. Noh, "Competitive Data Trading Model With Privacy Valuation for Multiple Stakeholders in IoT Data Markets," IEEE Internet of Things Journal, vol. 7, no. 4, pp. 3623-3639, April 2020. https://doi.org/10.1109/JIOT.2020.2973662
  19. Vijay Krishna, "Auction Theory", Academic Press, 2002.
  20. W. Zhang, S. Yuan, and J. Wang, "Optimal real-time bidding for display advertising", In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '14). ACM, New York, NY, USA, 2014.
  21. V. Benndorf and H.-T. Normann, "The willingness to sell personal data,"The Scandinavian Journal of Economics, vol. 120, no. 4, pp. 1260-1278, 2018. https://doi.org/10.1111/sjoe.12247