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The widespread use of digital data, storage and sharing for data mining has given data snoopers a big opportunity to collect and match records from multiple sources for identity theft and other privacy-invasion activities. While most healthcare organizations do a good job in protecting their data in their databases, very few organizations take enough precautions to protect data that is shared with...
We propose a novel model-driven application-level encryption solution to protect the privacy and confidentiality of health data in response to the growing public concern about the privacy of health data. Domain experts specify sensitive data which are to be protected by encryption in the application's domain model. Security experts specify the cryptographic parameters used for the encryption in a...
As the volume of data that is electronically available promliferates, the health-care industry is identifying better ways to use this data for patient care. Ideally, these data are collected in real time, can support point-of-care clinical decisions, and, by providing instantaneous quality metrics, can create the opportunities to improve clinical practice as the patient is being cared for. The business-world...
While there is an increasing need to share medical information for public health research, such data sharing must preserve patient privacy without disclosing any information that can be used to identify a patient. A considerable amount of research in data privacy community has been devoted to formalizing the notion of identifiability and developing techniques for anonymization but are focused exclusively...
In this era of data digitization, data mining is essential for getting valuable information. However, privacy and security issues remain major barriers during this process. Since medical records are related to human subjects, privacy protection is taken more seriously than other data mining tasks. As required by the Health Insurance Portability and Accountability Act (HIPAA), it is necessary to protect...
In the past, only the security and confidentiality of data in medical information systems was a contentious issue, and privacy was not a real issue. Lately, much has been done to preserve the privacy of information of the individual, especially when this resulted in giving the individual more control over his/her personal information. The problem that we are faced with now, is the following: From...
Patient-controlled Personal Health Record (PHR) systems may facilitate a patient not only to share her health records with healthcare professionals but also to control her health privacy, in a convenient and easy way. Governed by privacy protection laws, explicit consent/permission of the respective patient is a prerequisite for sharing personal health records. However, in emergency situations, when...
Privacy is one of the fundamental issues in health care today. Although, it is a fundamental right of every individual to demand privacy and a variety of laws were enacted that demand the protection of patientspsila privacy, approaches for protecting privacy often do not comply with legal requirements or basic security requirements. This paper highlights research directions currently pursued for privacy...
Safeguarding patientspsila private information is one of the most challenging issues in the design and implementation of modern e-Health systems. Recent advances in Hippocratic Databases (HDB) show a promising direction towards the enforcement of privacy policies in e-Health systems. This paper tackles issues in applying the HDB design to e-Health systems. More specifically, we design an architecture...
Information privacy typically concerns the confidentiality of personal identifiable information (PII) and protected health information (PHI) such as electronic medical records. Thus, the information access control mechanism for e-health services must be embedded with privacy-enhancing technologies. Role-based access control (RBAC) model has been widely investigated and applied to various applications...
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