Clinical Research
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BJWT-EHR: A novel JWT based Blockchain System for Electronic Health Records

Year 2023, , 23 - 29, 30.12.2023
https://doi.org/10.46572/naturengs.1398733

Abstract

Since most transactions in the world now take place digitally, it is crucial to maintain data integrity, share data securely, and provide quick access to it. Our reliance on computers in our daily lives is growing, and new data will inevitably be generated to meet this need. Providing for safe data exchange is becoming increasingly crucial every day. Maintaining and safeguarding the security of this data is crucial. Recently, the term "blockchain" has been used extensively for data security. A decentralized digital ledger called blockchain is in charge of preserving data integrity and facilitating safe data sharing. Blockchain transfers data by the principle of transparency, records data one way, and prevents reverse engineering. According to reports, blockchain is the general term for the technology that promotes common data sharing of these recorded data and reduces access times, essential for preserving data security. There are several risks to patients' privacy when information from medical records is stolen or altered. The damage caused by malicious people with this information causes serious harm to both the patient and the financing institution. Therefore, cloud-based EHR (electronic health records) is becoming a focal point in many areas. Storing patient data, ensuring data accuracy, protecting data confidentiality, and ensuring fast data transmission in the cloud system is a significant concerns in the healthcare industry. In this study, the layered architecture structure is also addressed in addition to the blockchain for sharing health data with the help of cloud service providers while providing data access control and auditing for EHR records. To enter this layered architectural system, new solutions are proposed by applying JWT (JSON web token) and hashing function of patient information. This proposed method manages and controls the patient's health records electronically. Therefore, these technologies used in the blockchain platform open new doors to more secure and sustainable solutions.

References

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  • Fatokun, T., Nag, A., & Sharma, S. (2021). Towards a block chain assisted patient owned system for electronic health records. Electronics, 10(5), 580.
  • Xia, Q., Sifah, E. B., Smahi, A., Amofa, S., and Zhang, X. (2017). BBDS: Block chain-based data sharing for electronic medical records in cloud environments. Information, 8(2), 44.
  • Wang, H., and Song, Y. (2018). Secure cloud-based EHR system using attribute-based cryptosystem and block chain. Journal of medical systems, 42(8), 152.
  • Ferdous, M. S., Margheri, A., Paci, F., Yang, M., and Sassone, V. (2017, June). Decentralised runtime monitoring for access control systems in cloud federations. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) (pp. 2632-2633). IEEE.
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  • Azaria, A., Ekblaw, A., Vieira, T., and Lippman, A. (2016, August). Medrec: Using block chain for medical data access and permission management. In 2016 2nd international conference on open and big data (OBD) (pp. 25-30). IEEE.
  • Kakavand, H., Kost De Sevres, N., & Chilton, B. (2017). The blockchain revolution: An analysis of regulation and technology related to distributed ledger technologies. Available at SSRN 2849251.
  • Kasım, Ö. (2020). Blok Zinciri Mimarisi ile Elektronik Tıp Kayıtlarının Modellenmesi Üzerine Bir Araştırma. Gumushane University Journal of Science, 10(1), 35-42.
  • Mizrak, H., and Aslan, S. (2023). Hastaların Elektronik Sağlık Kayıt (ESK) Sistemleri için Güvenli Blok Zincir Destekli Bulut Sistemi. Fırat University Journal of Engineering Sciences, 35(2), 517-526.
  • Jones, M., Bradley, J., and Sakimura, N. (2015). Json web token (jwt) (No. rfc7519).
Year 2023, , 23 - 29, 30.12.2023
https://doi.org/10.46572/naturengs.1398733

Abstract

References

  • Raghupathi, W., and Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health information science and systems, 2, 1-10.
  • Krumholz, H. M., and Waldstreicher, J. (2016). The Yale Open Data Access (YODA) project--a mechanism for data sharing. The New England journal of medicine, 375(5), 403-405.
  • Taichman, D. B., Backus, J., Baethge, C., Bauchner, H., De Leeuw, P. W., Drazen, J. M., and Wu, S. (2016). Sharing clinical trial data: a proposal from the International Committee of Medical Journal Editors. Annals of internal medicine, 164(7), 505-506.
  • Longo, D. L., and Drazen, J. M. (2016). Data sharing. New England Journal of Medicine, 374(3), 276-277.
  • Fernandes, L. M., O'Connor, M., and Weaver, V. (2012). Big data, bigger outcomes. Journal of AHIMA, 83(10), 38-43.
  • Grozev, N., and Buyya, R. (2014). Inter‐Cloud architectures and application brokering: taxonomy and survey. Software: Practice and Experience, 44(3), 369-390.
  • UNC (2013) Healthcare relies on “Analytics to better manage medical data and improve patient care” IBM.
  • Burghard, C. (2012). Big data and analytics key to accountable care success. IDC health insights, 1, 1-9.
  • Khezr, S., Moniruzzaman, M., Yassine, A., and Benlamri, R. (2019). Block chain technology in healthcare: A comprehensive review and directions for future research. Applied sciences, 9(9), 1736.
  • Begoyan, A. (2007). An overview of interoperability standards for electronic health records. USA: society for design and process science.
  • Ying, Z., Wei, L., Li, Q., Liu, X., and Cui, J. (2018). A lightweight policy preserving EHR sharing scheme in the cloud. IEEE Access, 6, 53698-53708.
  • Azarm, M., Backman, C., Kuziemsky, C., & Peyton, L. (2017). Breaking the healthcare interoperability barrier by empowering and engaging actors in the healthcare system. Procedia computer science, 113, 326-333.
  • Yue, X., Wang, H., Jin, D., Li, M., and Jiang, W. (2016). Healthcare data gateways: found healthcare intelligence on block chain with novel privacy risk control. Journal of medical systems, 40, 1-8.
  • Fatokun, T., Nag, A., & Sharma, S. (2021). Towards a block chain assisted patient owned system for electronic health records. Electronics, 10(5), 580.
  • Xia, Q., Sifah, E. B., Smahi, A., Amofa, S., and Zhang, X. (2017). BBDS: Block chain-based data sharing for electronic medical records in cloud environments. Information, 8(2), 44.
  • Wang, H., and Song, Y. (2018). Secure cloud-based EHR system using attribute-based cryptosystem and block chain. Journal of medical systems, 42(8), 152.
  • Ferdous, M. S., Margheri, A., Paci, F., Yang, M., and Sassone, V. (2017, June). Decentralised runtime monitoring for access control systems in cloud federations. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) (pp. 2632-2633). IEEE.
  • Ramani, V., Kumar, T., Bracken, A., Liyanage, M., and Ylianttila, M. (2018, December). Secure and efficient data accessibility in block chain based healthcare systems. In 2018 IEEE Global Communications Conference (GLOBECOM) (pp. 206-212). IEEE.
  • Azaria, A., Ekblaw, A., Vieira, T., and Lippman, A. (2016, August). Medrec: Using block chain for medical data access and permission management. In 2016 2nd international conference on open and big data (OBD) (pp. 25-30). IEEE.
  • Kakavand, H., Kost De Sevres, N., & Chilton, B. (2017). The blockchain revolution: An analysis of regulation and technology related to distributed ledger technologies. Available at SSRN 2849251.
  • Kasım, Ö. (2020). Blok Zinciri Mimarisi ile Elektronik Tıp Kayıtlarının Modellenmesi Üzerine Bir Araştırma. Gumushane University Journal of Science, 10(1), 35-42.
  • Mizrak, H., and Aslan, S. (2023). Hastaların Elektronik Sağlık Kayıt (ESK) Sistemleri için Güvenli Blok Zincir Destekli Bulut Sistemi. Fırat University Journal of Engineering Sciences, 35(2), 517-526.
  • Jones, M., Bradley, J., and Sakimura, N. (2015). Json web token (jwt) (No. rfc7519).
There are 23 citations in total.

Details

Primary Language English
Subjects Computer Software, Software Engineering (Other)
Journal Section Research Articles
Authors

Hamit Mızrak 0009-0009-7394-7469

Serpil Aslan 0000-0001-8009-063X

Muhammed Yıldırım 0000-0003-1866-4721

Early Pub Date December 28, 2023
Publication Date December 30, 2023
Submission Date December 1, 2023
Acceptance Date December 24, 2023
Published in Issue Year 2023

Cite

APA Mızrak, H., Aslan, S., & Yıldırım, M. (2023). BJWT-EHR: A novel JWT based Blockchain System for Electronic Health Records. NATURENGS, 4(2), 23-29. https://doi.org/10.46572/naturengs.1398733