International Journal of Advanced Computer Research (IJACR) ISSN (P): 2249-7277 ISSN (O): 2277-7970 Vol - 9, Issue - 40, January 2019
  1. 1
    Google Scholar
  2. 4
    Impact Factor
An empirical analysis on medical information sharing model based on blockchain

Sung-Hwa Han, Ju-Hyung Kim, Won-Seok Song and Gwang-Yong Gim

Abstract

As the use of medical information improves, medical research is stepping up and legal disputes are rapidly increasing due to the broadening medical accidents. At the same time, there are security threats against the distribution of medical information by non - medical personnel, the forgery, and the difficulty of tracking. Blockchain based medical information sharing model is proposed to cope with such security threats. In this paper, the medical information sharing model based on blockchain is verified its effectiveness by actual implementation for it can or can't satisfy the security requirements for medical information. As a result, it has been confirmed that the blockchain based medical information sharing model can provide the reliability and traceability of medical information, and provide a data recovery function for the prevention of forgery and alteration of medical information.

Keyword

Medical information, Forgery prevention, Integrity, Information sharing service model, Blockchain.

Cite this article

Han S, Kim J, Song W, Gim G

Refference

[1][1]Sweeney L. K-anonymity: a model for protecting privacy. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 2002; 10(5):557-70.

[2][2]Heart T, Ben-Assuli O, Shabtai I. A review of PHR, EMR and EHR integration: a more personalized healthcare and public health policy. Health Policy and Technology. 2017; 6(1):20-5.

[3][3]Walker J, Pan E, Johnston D, Adler-Milstein J, Bates DW, Middleton B. The value of health care information exchange and interoperability: there is a business case to be made for spending money on a fully standardized nationwide system. Health Affairs. 2005; 24(Suppl 1):10-8.

[4][4]Gibaud B. The DICOM standard: a brief overview. In molecular imaging: computer reconstruction and practice 2008 (pp. 229-38). Springer, Dordrecht.

[5][5]Dolin RH, Alschuler L, Beebe C, Biron PV, Boyer SL, Essin D, et al. The HL7 clinical document architecture. Journal of the American Medical Informatics Association. 2001; 8(6):552-69.

[6][6]Soni J, Ansari U, Sharma D, Soni S. Predictive data mining for medical diagnosis: an overview of heart disease prediction. International Journal of Computer Applications. 2011; 17(8):43-8.

[7][7]Appari A, Johnson ME. Information security and privacy in healthcare: current state of research. International Journal of Internet and Enterprise Management. 2010; 6(4):279-314.

[8][8]Greer BJ. Cybersecurity for healthcare medical devices (Doctoral dissertation, Utica College). 2018.

[9][9]Palmer S, Raftery J. Economics notes: opportunity cost. BMJ: British Medical Journal. 1999; 318(7197):1551-2.

[10][10]Kim YY, Shin SS. A study on reliable electronic medical record systems. Journal of Digital Convergence. 2012; 10(2):193-200.

[11][11]Thompson LA, Black E, Duff WP, Black NP, Saliba H, Dawson K. Protected health information on social networking sites: ethical and legal considerations. Journal of Medical Internet research. 2011; 13(1):1-11.

[12][12]Anderson RJ. A security policy model for clinical information systems. IEEE; 1996.

[13][13]Farzandipour M, Sadoughi F, Ahmadi M, Karimi I. Security requirements and solutions in electronic health records: lessons learned from a comparative study. Journal of Medical Systems. 2010; 34(4):629-42.

[14][14]Rowan S, Clear M, Gerla M, Huggard M, Goldrick CM. Securing vehicle to vehicle communications using blockchain through visible light and acoustic side-channels. arXiv preprint arXiv:1704.02553. 2017.

[15][15]Preuveneers D, Joosen W, Ilie-Zudor E. Trustworthy data-driven networked production for customer-centric plants. Industrial Management & Data Systems. 2017; 117(10):2305-24.

[16][16]Xia Q, Sifah EB, Asamoah KO, Gao J, Du X, Guizani M. MeDShare: trust-less medical data sharing among cloud service providers via blockchain. IEEE Access. 2017; 5:14757-67.

[17][17]Xia Q, Sifah EB, Smahi A, Amofa S, Zhang X. BBDS: blockchain-based data sharing for electronic medical records in cloud environments. Information. 2017; 8(2):1-16.

[18][18]Ekblaw A, Azaria A, Halamka JD, Lippman A. A case study for blockchain in healthcare:“MedRec” prototype for electronic health records and medical research data. In proceedings of open & big data conference 2016 (p.13). IEEE.