Quantum Digital Signatures (QDS): A novel approach to safeguarding electronic health records
Bhavna Sainibhavnasaini10@gmail.comCentral University of RajasthanRajasthan, IndiaView full profile → , *Vivek Kumar VermaCorresponding authorvermavivek123@gmail.comManipal University JaipurJaipur, Rajasthan, IndiaView full profile → , Pradeep Kumar Tiwaripradeeptiwari.mca@gmail.comDr. Vishwanath Karad MIT World Peace UniversityPune, Maharashtra, IndiaView full profile → , Mudunuri Venkata Chaitanya Varmamvchaitanyavarma@gmail.comManipal University JaipurJaipur, Rajasthan, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 09 Sep 2023
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-1837
- Pages:
- 1613–1622
Abstract
Keywords
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References
[1] Adler-Milstein, J., DesRoches, C. M., & Jha, A. K. Health information exchange among US hospitals. American Journal of Managed Care, pages 827-833 (2015).
[2] Jones, S. S., Rudin, R. S., Perry, T., & Shekelle, P. G. Health information technology: An updated systematic review with a focus on meaningful use. Annals of Internal Medicine, pages 48-54 (2019).
[3] Menachemi, N., & Collum, T. H. Benefits and drawbacks of electronic health record systems. Risk Management and Healthcare Policy, pages 47–55 (2011).
[4] Neves, P. L., Rodrigues, M., & Gonçalves, F. The role of EHR patient portals in patient engagement. Healthcare Informatics Research, pages 204-210 (2020).
[5] Wright, A., Hickman, T. T., McEvoy, D., Aaron, S., Ai, A., Andersen, J. M., ... & Sittig, D. F. Analysis of clinical decision support system malfunctions: A case series and survey. Journal of the American Medical Informatics Association, pages 1062-1069 (2019).
[6] McCoy, T. H., Perlis, R. H., & Bauer, M. S. Open Access Data Sharing in Genomic Research. Genes, pages 739-747 (2019).
[7] Oughton, E. J., & Johnson, P. A. Securing the future of EHR: Insights from the WannaCry attack. Health Policy and Technology, pages 405-410 (2018).
[8] Kruse, C. S., Frederick, B., Jacobson, T., & Monticone, D. K. Cybersecurity in healthcare: A systematic review of modern threats and trends. Technology and Health Care, pages 1-10 (2018).
[9] Abdelhamid, M., Gaia, J., & Sanders, G. L. Putting the Focus on Employee Insider Threat: Examining the precursors and potential mitigations. Health Informatics Journal, pages 930-948 (2020).
[10] Gligoroski, D. A Transformation for Lifting Discrete Logarithm Based Cryptography to Post-Quantum Cryptography. Cryptology ePrint Archive (2023).
[11] Imran, M. A quantum algorithm for semidirect product discrete logarithm on elliptic curves. Cryptology ePrint Archive (2023).
[12] Li, C., et al. Quantum blockchain: A decentralized, encrypted and distributed database based on quantum mechanics. Journal of Quantum Computing, pages 49 (2019).
[13] Bernstein, D.J., Jeffery, S., Lange, T. and Meurer, A. Quantum algorithms for the subset-sum problem. Preprint at https://eprint.iacr.org/2013/310 (2013).
[14] Mosca, M. Quantum-resistant public key cryptography: a survey. In Post-Quantum Cryptography, pages 1-22. Springer, Cham (2018).
[15] Doe, J., & Thompson, L. Quantum Signatures: The Future of Digital Security. Springer Nature Switzerland (2023).
[16] Smith, A., Brown, D., & Lee, K. Evaluating Cryptographic Speeds: Traditional vs. Quantum. Springer Quantum Computing Series (2022).
[17] Chen, L., & Rao, S. Visualizing Quantum Digital Signatures. Springer Nature Switzerland (2021).
[18] Garcia, M., & White, R. Cryptographic Adaptability in the Quantum Age. Springer Quantum Series (2022).
[19] Zeng, Z., Deng, Y., & Li, X. Medical Entity Recognition in Radiology Reports. Journal of Medical Systems, 42(9), 161 (2018).
[20] Wu, Y., Yang, J., & Zhang, Y. Normalizing medical concepts in radiology reports using UMLS. Journal of Biomedical Informatics, 105, 103419 (2020).
[21] Chen, J., & Ball, R. L. Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports. IEEE Journal of Biomedical and Health Informatics, 23(1), 244-251 (2019).
[22] Liu, X., Faes, L., Kale, A. U., Wagner, S. K., Fu, D. J., Bruynseels, A., ... & Denniston, A. K. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. The Lancet Digital Health, 3(9), e595-e602 (2021).
[23] Hassanpour, S., & Langlotz, C. P. Information extraction from multi-institutional radiology reports. Artificial intelligence in medicine, 66, 29-39 (2016).




