Optimizing data security and utility in healthcare: a role-based encryption framework for EMRs

Strong privacy-preserving procedures should be used to protect sensitive patient data since one of the biggest difficulties in healthcare is the secure exchange of Electronic Medical Records (EMRs). Through a comparative study of well-known privacy-preserving strategies such data de-identification and anonymisation, completely homomorphic encryption, and differential privacy, this study aims to enhance the present methods of safely exchanging EMR data. The literature review also highlights existing methods and their shortcomings. As a result, a framework has been developed to enhance the privacy and security of exchanging EMR data.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-06-27
DOI
https://doi.org/10.1049/icp.2025.1661
Primary Topic
Access Control and Trust
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing data security and utility in healthcare: a role-based encryption framework for EMRs

S. Hariharasitaraman, Bhushan Pravin Jadhav
IET conference proceedings.
Access Control and Trust
article

Optimizing data security and utility in healthcare: a role-based encryption framework for EMRs

S. Hariharasitaraman, Bhushan Pravin Jadhav
article en

Abstract

Strong privacy-preserving procedures should be used to protect sensitive patient data since one of the biggest difficulties in healthcare is the secure exchange of Electronic Medical Records (EMRs). Through a comparative study of well-known privacy-preserving strategies such data de-identification and anonymisation, completely homomorphic encryption, and differential privacy, this study aims to enhance the present methods of safely exchanging EMR data. The literature review also highlights existing methods and their shortcomings. As a result, a framework has been developed to enhance the privacy and security of exchanging EMR data.

IET conference proceedings.Vol. 2025(7)
Barkatullah University (IN)
Openalex Percentile: Top 80%
Access Control and Trust
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.