Structured patient data like Electronic Health Records (EHRs) are a valuable source for
clinical research. However, the sensitive nature of such information requires some …

Electronic Health Record (EHR) is the key to an efficient healthcare service delivery system.
The publication of healthcare data is highly beneficial to healthcare industries and …

Abstract The dissemination of Electronic Health Records (EHRs) can be highly beneficial for
a range of medical studies, spanning from clinical trials to epidemic control studies, but it …

The introduction and rapid growth of the Internet of Medical Things (IoMT), a subset of the
Internet of Things (IoT) in the medical and healthcare systems, has brought numerous …

Nominal attributes are very common in data sets about individuals, specifically medical data
like patient healthcare records. Attributes of this type tend to be sensitive due to their …

Data privacy in e-health deals with the protection of sensitive medical information that is
collected, stored, and analyzed in electronic health systems. Several organizations publish …

Anonymization of Electronic Medical Records to Support Clinical Analysis closely examines
the privacy threats that may arise from medical data sharing, and surveys the state-of-the-art …

Although data protection is compulsory when personal data is shared, there is no systematic
method available to evaluate to what extent each individual is at risk of a privacy breach. We …

Background Publishing raw electronic health records (EHRs) may be considered as a
breach of the privacy of individuals because they usually contain sensitive information. A …

Objective With the ARX data anonymization tool structured biomedical data can be de-
identified using syntactic privacy models, such as k-anonymity. Data is transformed with two …