| Applied Sciences | |
| Multilevel Privacy Assurance Evaluation of Healthcare Metadata | |
| Faiza Allah Bukhsh1  Maurice van Keulen1  Syeda Amna Sohail1  | |
| [1] Data Management and Biometrics (DMB) Department, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Zilverling, P.O. Box 217, AE 7500 Enschede, The Netherlands; | |
| 关键词: healthcare; privacy; privacy–utility tradeoff; process mining; REA ontology; e3-value modeling; | |
| DOI : 10.3390/app112210686 | |
| 来源: DOAJ | |
【 摘 要 】
Healthcare providers are legally bound to ensure the privacy preservation of healthcare metadata. Usually, privacy concerning research focuses on providing technical and inter-/intra-organizational solutions in a fragmented manner. In this wake, an overarching evaluation of the fundamental (technical, organizational, and third-party) privacy-preserving measures in healthcare metadata handling is missing. Thus, this research work provides a multilevel privacy assurance evaluation of privacy-preserving measures of the Dutch healthcare metadata landscape. The normative and empirical evaluation comprises the content analysis and process mining discovery and conformance checking techniques using real-world healthcare datasets. For clarity, we illustrate our evaluation findings using conceptual modeling frameworks, namely e
【 授权许可】
Unknown