Multilevel Privacy Assurance Evaluation of Healthcare Metadata

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 (technica...

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Autores principales:	Syeda Amna Sohail, Faiza Allah Bukhsh, Maurice van Keulen
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	healthcare privacy privacy–utility tradeoff process mining REA ontology e<sup>3</sup>-value modeling Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/ce504c19ff7c424880e480590d250708
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spelling	oai:doaj.org-article:ce504c19ff7c424880e480590d2507082021-11-25T16:35:13ZMultilevel Privacy Assurance Evaluation of Healthcare Metadata10.3390/app1122106862076-3417https://doaj.org/article/ce504c19ff7c424880e480590d2507082021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10686https://doaj.org/toc/2076-3417Healthcare 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<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mrow></mrow><mn>3</mn></msup></semantics></math></inline-formula>-value modeling and REA ontology. The conceptual modeling frameworks highlight the financial aspect of metadata share with a clear description of vital stakeholders, their mutual interactions, and respective exchange of information resources. The frameworks are further verified using experts’ opinions. Based on our empirical and normative evaluations, we provide the multilevel privacy assurance evaluation with a level of privacy increase and decrease. Furthermore, we verify that the privacy utility trade-off is crucial in shaping privacy increase/decrease because data utility in healthcare is vital for efficient, effective healthcare services and the financial facilitation of healthcare enterprises.Syeda Amna SohailFaiza Allah BukhshMaurice van KeulenMDPI AGarticlehealthcareprivacyprivacy–utility tradeoffprocess miningREA ontologye<sup>3</sup>-value modelingTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10686, p 10686 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	healthcare privacy privacy–utility tradeoff process mining REA ontology e<sup>3</sup>-value modeling Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	healthcare privacy privacy–utility tradeoff process mining REA ontology e<sup>3</sup>-value modeling Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Syeda Amna Sohail Faiza Allah Bukhsh Maurice van Keulen Multilevel Privacy Assurance Evaluation of Healthcare Metadata
description	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<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mrow></mrow><mn>3</mn></msup></semantics></math></inline-formula>-value modeling and REA ontology. The conceptual modeling frameworks highlight the financial aspect of metadata share with a clear description of vital stakeholders, their mutual interactions, and respective exchange of information resources. The frameworks are further verified using experts’ opinions. Based on our empirical and normative evaluations, we provide the multilevel privacy assurance evaluation with a level of privacy increase and decrease. Furthermore, we verify that the privacy utility trade-off is crucial in shaping privacy increase/decrease because data utility in healthcare is vital for efficient, effective healthcare services and the financial facilitation of healthcare enterprises.
format	article
author	Syeda Amna Sohail Faiza Allah Bukhsh Maurice van Keulen
author_facet	Syeda Amna Sohail Faiza Allah Bukhsh Maurice van Keulen
author_sort	Syeda Amna Sohail
title	Multilevel Privacy Assurance Evaluation of Healthcare Metadata
title_short	Multilevel Privacy Assurance Evaluation of Healthcare Metadata
title_full	Multilevel Privacy Assurance Evaluation of Healthcare Metadata
title_fullStr	Multilevel Privacy Assurance Evaluation of Healthcare Metadata
title_full_unstemmed	Multilevel Privacy Assurance Evaluation of Healthcare Metadata
title_sort	multilevel privacy assurance evaluation of healthcare metadata
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ce504c19ff7c424880e480590d250708
work_keys_str_mv	AT syedaamnasohail multilevelprivacyassuranceevaluationofhealthcaremetadata AT faizaallahbukhsh multilevelprivacyassuranceevaluationofhealthcaremetadata AT mauricevankeulen multilevelprivacyassuranceevaluationofhealthcaremetadata
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Multilevel Privacy Assurance Evaluation of Healthcare Metadata

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