Abstract
The Covid-19 pandemic catalyzed many exciting forms of health data sharing. Aside from the institution-to-institution health data sharing among cooperating institutions for research and discovery of insights in healthcare, individual-to-many and individual-to-individual health data sharing also came to the fore. However, the security risks involved here are substantial since health data disclosures can lead to privacy and security breaches or complications. In this research, we present a scheme to enable individuals to share details of medical experiences with other individuals or interested groups. Our system provides the sharing entities with anonymity and thus, facilitates rapid dissemination of empirical insights during public health emergencies like Covid-19.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Aggarwal, R., et al.: Patient perceptions on data sharing and applying artificial intelligence to health care data: cross-sectional survey. J. Med. Internet Res. 23(8), e26162 (2021)
Ahmed, N., et al.: A survey of COVID-19 contact tracing apps. IEEE Access 8, 134577–134601 (2020)
Albesher, A.A.: IoT in health-care: recent advances in the development of smart cyber-physical ubiquitous environments. IJCSNS 19(2), 181 (2019)
Amofa, S., Gao, J., Amankona, I.O., Qi, X., Su, X.: Complementary blockchain-based privacy protection for COVID-19 contact tracing. In: 2021 IEEE 21st International Conference on Communication Technology (ICCT), pp. 1455–1460. IEEE (2021)
Amofa, S., et al.: A blockchain-based architecture framework for secure sharing of personal health data. In: 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), pp. 1–6. IEEE (2018)
Cao, B., Zhang, L., Peng, M., Imran, M.A.: Wireless blockchain: principles, technologies and applications. John Wiley & Sons (2021)
Chandrasekaran, R., et al.: Topics, trends, and sentiments of tweets about the COVID-19 pandemic: temporal infoveillance study. J. Med. Internet Res. 22(10), e22624 (2020)
Ciminelli, G., Garcia-Mandicó, S.: COVID-19 in Italy: an analysis of death registry data. J. Public Health 42(4), 723–730 (2020)
Dagliati, A., Malovini, A., Tibollo, V., Bellazzi, R.: Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview. Brief. Bioinform. 22(2), 812–822 (2021)
Douglas, M., Katikireddi, S.V., Taulbut, M., McKee, M., McCartney, G.: Mitigating the wider health effects of COVID-19 pandemic response. BMJ 369, m1557 (2020)
Goh, E.J.: Encryption schemes from bilinear maps. In: CiteSeer (2007)
Gursoy, D., Chi, C.G.: Effects of COVID-19 pandemic on hospitality industry: review of the current situations and a research agenda. J. Hospitality Mark. Manage. 29(5), 527–529 (2020)
Haleem, A., Javaid, M., Vaishya, R.: Effects of COVID-19 pandemic in daily life. Curr. Med. Res. Pract. 10(2), 78 (2020)
Hulsen, T.: Sharing is caring-data sharing initiatives in healthcare. Int. J. Environ. Res. Public Health 17(9), 3046 (2020)
Kalkman, S., van Delden, J., Banerjee, A., Tyl, B., Mostert, M., van Thiel, G.: Patients and public views and attitudes towards the sharing of health data for research: a narrative review of the empirical evidence. J. Med. Ethics 48(1), 3–13 (2022)
Libert, B.: New secure applications of bilinear maps in cryptography, Ph. D. thesis, CiteSeer (2006)
Mennemeyer, S.T., Menachemi, N., Rahurkar, S., Ford, E.W.: Impact of the hitech act on physicians adoption of electronic health records. J. Am. Med. Inform. Assoc. 23(2), 375–379 (2016)
Okamoto, T.: Cryptography based on bilinear maps. In: Fossorier, M.P.C., Imai, H., Lin, S., Poli, A. (eds.) AAECC 2006. LNCS, vol. 3857, pp. 35–50. Springer, Heidelberg (2006). https://doi.org/10.1007/11617983_3
Phillips, M.: International data-sharing norms: from the OECD to the general data protection regulation (GDPR). Hum. Genet. 137(8), 575–582 (2018)
Rahman, F.I., Ether, S.A., Islam, M.R.: The delta plus COVID-19 variant has evolved to become the next potential variant of concern: mutation history and measures of prevention. J. Basic Clinical Physiol. Pharmacol. 33(1), 109–112 (2022)
Raskar, R., Pahwa, D., Beaudry, R.: Contact tracing: holistic solution beyond bluetooth. IEEE Data Eng. Bull. 43(2), 67–70 (2020)
Rume, T., Islam, S.D.U.: Environmental effects of COVID-19 pandemic and potential strategies of sustainability. Heliyon 6(9), e04965 (2020)
Solove, D.J.: HIPAA turns 10: analyzing the past, present, and future impact (2013)
Sri, P.A., Bhaskari, D.L.: Blockchain technology for secure medical data sharing using consensus mechanism. Mater. Today Proc. 2020, 2214-7853 (2020)
Thakur, V., et al.: Waves and variants of SARS-CoV-2: understanding the causes and effect of the COVID-19 catastrophe. Infection 50(2), 309–325 (2021). https://doi.org/10.1007/s15010-021-01734-2
Vujičić, D., Jagodić, D., Ranić, S.: Blockchain technology, bitcoin, and Ethereum: a brief overview. In: 2018 17th international symposium infoteh-jahorina (infoteh), pp. 1–6. IEEE (2018)
Wen, H., Zhao, Q., Lin, Z., Xuan, D., Shroff, N.: A study of the privacy of COVID-19 contact tracing apps. In: Park, N., Sun, K., Foresti, S., Butler, K., Saxena, N. (eds.) SecureComm 2020. LNICST, vol. 335, pp. 297–317. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-63086-7_17
Xia, Q., Sifah, E.B., Smahi, A., Amofa, S., Zhang, X.: BBDS: blockchain-based data sharing for electronic medical records in cloud environments. Information 8(2), 44 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Amofa, S., Gao, J., Asante-Mensah, M.G., Haruna, C.R., Qi, X. (2022). Blockchain-Based Patient-to-Patient Health Data Sharing. In: Ahene, E., Li, F. (eds) Frontiers in Cyber Security. FCS 2022. Communications in Computer and Information Science, vol 1726. Springer, Singapore. https://doi.org/10.1007/978-981-19-8445-7_13
Download citation
DOI: https://doi.org/10.1007/978-981-19-8445-7_13
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-8444-0
Online ISBN: 978-981-19-8445-7
eBook Packages: Computer ScienceComputer Science (R0)