The issues of confidentiality and privacy have become increasingly important as Grid technology is being adopted in public sectors such as healthcare. This paper discusses the importance of protecting the confidentiality and privacy of patient health/medical records, and the challenges exhibited in enforcing this protection in a Grid environment. It proposes a novel algorithm to allow traceable/linkable identity privacy in dealing with de-identified medical records. Using the algorithm, de-identified health records associated to the same patient but generated by different healthcare providers are given different pseudonyms. However, these pseudonymised records of the same patient can still be linked by a trusted entity such as the NHS trust or HealthGrid manager. The paper has also recommended a security architecture that integrates the proposed algorithm with other data security measures needed to achieve the desired security and privacy in the HealthGrid context.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning.
Heliyon
December 2024
Department of Computer Science & Engineering, K L E F Deemed To Be University, Green Fields, Vaddeswaram, Guntur (dt), Andhra Pradesh, 521230, India.
Real-time monitoring and anomaly detection are essential in healthcare to ensure safe conditions for patients and maintain the integrity of medical data samples. The majority of existing systems, despite improvements in healthcare technologies, cannot capture the spatial and temporal patterns of multimodal data simultaneously, process high Volume data in real-time, and ensure the privacy of patients' identity effectively. In this work, we handle these limitations by proposing a complete approach that uses state-of-the-art deep learning and data processing architectures to realize resilient anomaly detection in healthcare systems.
View Article and Find Full Text PDFAn Unusual Finding in a Patient with Dysphagia.
Dysphagia
January 2025
Department of Pathology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
The privacy protection of the internet of vehicles resource transaction details based on blockchain.
PLoS One
January 2025
Yunnan Tengjian Technology Co., Ltd, Kunming, China.
The rapid development of Internet of Things technology has promoted the popularization of Internet of Vehicles, and its safety and reliability have become the focus of intelligent transportation system research. Vehicle-road collaboration relies on the collaborative computing and storage resources of the vehicle on-board unit (OBU), which are usually limited. When the vehicle in the edge area needs to do computing tasks such as intelligent driving, but its own computing resources are insufficient.
View Article and Find Full Text PDFPsychometric evaluation of the chinese version of transgender congruence scale.
BMC Psychol
January 2025
Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Background: In China, research on the mental health of transgender populations is increasingly prevalent; however, there is a lack of localized psychological measurement tools that align with the characteristics of this population. The Transgender Congruence Scale (TCS) is widely used internationally. This study aims to assess the reliability, validity, and psychometric characteristics of the Chinese version of the TCS among the Chinese transgender sample.
View Article and Find Full Text PDFVertebral level in pregnancy according to the posterior superior iliac spine: an observational study.
BMC Pregnancy Childbirth
December 2024
Department of Anesthesiology, West China Second University Hospital, Sichuan University, 20#, Section 3 Renmin Nan Road, Chengdu, Sichuan, 610041, PR China.
Background: While the line joining the posterior superior iliac spine (PSIS) intersects a relatively stable sacral vertebra, it does not directly facilitate the localization of lumbar interspace or assist in the positioning for neuraxial anesthesia. Our study aimed to explore the potential of the PSIS line as a reference point and to determine its practical applicability in clinical settings.
Methods: We consecutively enrolled pregnant women with gestational ages ranging from 24 to 38 weeks scheduled for magnetic resonance imaging (MRI) examination.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!