Secure and Privacy-Preserving Referral Framework for E-Health System

Oladayo Olakanmi; Ismail Kamil; Sunday Ogundoyin

Secure and Privacy-Preserving Referral Framework for E-Health System

Abstract

Doctors have a crucial role in promoting the physical wellbeing of patients and ensuring that they are given the safest and effective treatments that meet their medical needs and preferences. To achieve this, doctors need adequate health information of the patients and a broad medical knowledge about their health conditions. However, due to an extensive area of the field of medicine, doctors do not have complete knowledge about a patient diagnosis and the special tools required, hence referral is indispensable. Referral requires the transfer of patient and her relevant medical information to a specialist in order for the specialist to develop a tailored treatment or suggestion for a better healthcare. Therefore, it is imperative to search for a specialist in that area of specialization who will not only have access to the patients relevant health information but able to proffer solutions to her health challenges. There is need for an effective referral system that is capable of selecting a specialist and preserving both the specialistâ€™s and general practitionerâ€™s privacy. In this paper, we proposed a referral framework with efficient schemes for achieving anonymous authentication during the referral process and a trust model for efficient rating and selection of specialist. To preserve privacy of the physicians, we leverage pseudonyms for anonymous authentication of physicians. A time-bound group signature was proposed by modifying an existing group signatures for a robust grouping of physicians based on their specialisations and a trust model for determining the competency of specialist.

Keywords

Time-bound, Group signature, Referral, Trust value, Specialist

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Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Oladayo Olakanmi This is me

Ismail Kamil This is me

Sunday Ogundoyin This is me

Publication Date

June 1, 2017

Submission Date

-

Acceptance Date

-

Published in Issue

Year 2017 Volume: 6 Number: 2

IZ

https://izlik.org/JA83SW35GN

Cite

RIS / Bibtex

APA

Olakanmi, O., Kamil, I., & Ogundoyin, S. (2017). Secure and Privacy-Preserving Referral Framework for E-Health System. International Journal of Information Security Science, 6(2), 11-25. https://izlik.org/JA83SW35GN

AMA

1.Olakanmi O, Kamil I, Ogundoyin S. Secure and Privacy-Preserving Referral Framework for E-Health System. IJISS. 2017;6(2):11-25. https://izlik.org/JA83SW35GN

Chicago

Olakanmi, Oladayo, Ismail Kamil, and Sunday Ogundoyin. 2017. “Secure and Privacy-Preserving Referral Framework for E-Health System”. International Journal of Information Security Science 6 (2): 11-25. https://izlik.org/JA83SW35GN.

EndNote

Olakanmi O, Kamil I, Ogundoyin S (June 1, 2017) Secure and Privacy-Preserving Referral Framework for E-Health System. International Journal of Information Security Science 6 2 11–25.

IEEE

[1]O. Olakanmi, I. Kamil, and S. Ogundoyin, “Secure and Privacy-Preserving Referral Framework for E-Health System”, IJISS, vol. 6, no. 2, pp. 11–25, June 2017, [Online]. Available: https://izlik.org/JA83SW35GN

ISNAD

Olakanmi, Oladayo - Kamil, Ismail - Ogundoyin, Sunday. “Secure and Privacy-Preserving Referral Framework for E-Health System”. International Journal of Information Security Science 6/2 (June 1, 2017): 11-25. https://izlik.org/JA83SW35GN.

JAMA

1.Olakanmi O, Kamil I, Ogundoyin S. Secure and Privacy-Preserving Referral Framework for E-Health System. IJISS. 2017;6:11–25.

MLA

Olakanmi, Oladayo, et al. “Secure and Privacy-Preserving Referral Framework for E-Health System”. International Journal of Information Security Science, vol. 6, no. 2, June 2017, pp. 11-25, https://izlik.org/JA83SW35GN.

Vancouver

1.Oladayo Olakanmi, Ismail Kamil, Sunday Ogundoyin. Secure and Privacy-Preserving Referral Framework for E-Health System. IJISS [Internet]. 2017 Jun. 1;6(2):11-25. Available from: https://izlik.org/JA83SW35GN