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Data Privacy in E-Healthcare: A Systematic Review of Frameworks and Approaches

by Punam Prabha, Kakali Chatterjee
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 130
Year of Publication: 2026
Authors: Punam Prabha, Kakali Chatterjee
10.5120/ijca45d7e536906f

Punam Prabha, Kakali Chatterjee . Data Privacy in E-Healthcare: A Systematic Review of Frameworks and Approaches. International Journal of Computer Applications. 187, 130 ( Jul 2026), 1-20. DOI=10.5120/ijca45d7e536906f

@article{ 10.5120/ijca45d7e536906f,
author = { Punam Prabha, Kakali Chatterjee },
title = { Data Privacy in E-Healthcare: A Systematic Review of Frameworks and Approaches },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2026 },
volume = { 187 },
number = { 130 },
month = { Jul },
year = { 2026 },
issn = { 0975-8887 },
pages = { 1-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number130/data-privacy-in-e-healthcare-a-systematic-review-of-frameworks-and-approaches/ },
doi = { 10.5120/ijca45d7e536906f },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-08-01T02:11:43.512440+05:30
%A Punam Prabha
%A Kakali Chatterjee
%T Data Privacy in E-Healthcare: A Systematic Review of Frameworks and Approaches
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 130
%P 1-20
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

E-Healthcare Systems (EHS) are transforming medical service delivery by enabling real-time data sharing, remote diagnostics, and integrated care via IoT and cloud infrastructures. However, the increasing volume of sensitive medical data being transmitted over distributed systems creates serious privacy and security concerns. This article reviews several papers on the EHS Data Privacy Framework, addressing critical issues such as illegal data access, identity exposure, and data integrity breaches. This review examines the existing data privacy frameworks used in EHS, focusing on four domains: traditional EHS, cloud-based EHS, IoT-based EHS and blockchain-based EHS with an emphasis on author, year, objective, and limitation. This framework provides a scalable and interoperable approach to protecting privacy for future healthcare systems.

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Index Terms

Computer Science
Information Sciences

Keywords

Data privacy framework e-healthcare system (EHS) security survey

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