Patient Privacy Protection Maturity Evaluation Framework DOI Open Access
Güney Gürsel, Nükhet BAYER, Ömer Turunç

et al.

Published: May 22, 2024

Background: With the rapid improvement of healthcare technologies, security and privacy most sensitive data, health data is at risk. Protecting patient has many components, even though are in electronic format. Although thoroughly discussed literature, there no study presenting all components protection. Methods: In this study, a complete evaluation framework presented, as an tool, inventory developed, reliability validity examined. Study conducted three phases: Conceptual development, development case study. evaluation, fuzzy conjoint analysis employed to handle subjectivity am-biguity. As result institution given protection ma-turity grade, between 1 5, where worst 5 best grade. Results: XXX’s biggest hospital, employing 800 nurses, evaluated. Half 400, have partici-pated Literature tells institutions do not invest enough protect privacy, results support finding. Institution’s maturity grade resulted level 2, which bad. Conclusion: The measures he with com-ponents. Result explains patients public if their safe or not. idea about choose, can conclude institutions’ terms privacy.

Language: Английский

Zero-Trust Blockchain-Based Digital Twin 6G AI-Native Conceptual Framework Against Cyber Attacks for e-Healthcare DOI

B. Chowdhury,

Hamid Jahankhani,

Sangar Subramaniam

et al.

Advanced sciences and technologies for security applications, Journal Year: 2025, Volume and Issue: unknown, P. 453 - 479

Published: Jan. 1, 2025

Language: Английский

Citations

0
An Evaluation of Patient Privacy Protection with Fuzzy Conjoint Analysis—A Case Study from Nurses’ Perspective DOI Open Access
Güney Gürsel, Nükhet BAYER, Ömer Turunç

et al.

Healthcare, Journal Year: 2024, Volume and Issue: 12(13), P. 1363 - 1363

Published: July 8, 2024

With the rapid improvement in healthcare technologies, security and privacy of most sensitive data are at risk. Patient has many components, even when electronic format. Although patient extensively been discussed literature, there is no study that presented all components privacy.

Language: Английский

Citations

1
Patient Privacy Protection Maturity Evaluation Framework DOI Open Access
Güney Gürsel, Nükhet BAYER, Ömer Turunç

et al.

Published: May 22, 2024

Background: With the rapid improvement of healthcare technologies, security and privacy most sensitive data, health data is at risk. Protecting patient has many components, even though are in electronic format. Although thoroughly discussed literature, there no study presenting all components protection. Methods: In this study, a complete evaluation framework presented, as an tool, inventory developed, reliability validity examined. Study conducted three phases: Conceptual development, development case study. evaluation, fuzzy conjoint analysis employed to handle subjectivity am-biguity. As result institution given protection ma-turity grade, between 1 5, where worst 5 best grade. Results: XXX’s biggest hospital, employing 800 nurses, evaluated. Half 400, have partici-pated Literature tells institutions do not invest enough protect privacy, results support finding. Institution’s maturity grade resulted level 2, which bad. Conclusion: The measures he with com-ponents. Result explains patients public if their safe or not. idea about choose, can conclude institutions’ terms privacy.

Language: Английский

Citations

1