Accepted for/Published in: JMIR Formative Research
Date Submitted: Mar 30, 2022
Open Peer Review Period: Mar 30, 2022 - May 25, 2022
Date Accepted: Jan 24, 2023
(closed for review but you can still tweet)
Privacy, security and legal issues in the health cloud: A TAXONOMY
ABSTRACT
Privacy in digital health due to its multidimensional contexture should be reconstructed and redesigned to harmonize with the other technological achievements. Cloud computing in the health domain has markedly included other technologies such as the mobile health, health IoT, Sensors, the increasing number of applications as the social networks and newly introduced technologies which suffer from the privacy transparency lack which has made policy-making difficult It is understandable that privacy is a complex and multidimensional concept which sometimes is referred to as legal, philosophical or even technical. A taxonomy serves to bring conceptual clarity to the bargaining set of alternatives to in-person health care delivery. The main concept of this paper is to conduct a comprehensive taxonomy for privacy in the health cloud and also it illustrates how it provides a privacy perspective landscape for related technologies. Related concepts such as privacy, security, confidentiality, legal issues are categorized by their expansion and distinctive boundaries defined for them here. The published English papers from databases like Web of Science, IEEE Digital Library, Google scholar, Scopus, and PubMed were selected. among which 2042 were related to the health cloud privacy concept which rely on predefined keywords and search strings. Then taxonomy designing was performed by qualitative content analysis methodology. This taxonomy developed into three layers, which its first layer has four main dimensions like cloud, data, device, legal then in the second layer it has 15 components and in the final layer it has related subcategories as well as fifty-seven in overall. The main merits of this taxonomy are defined as its ability to clarify the privacy term for different scenarios and signalized the privacy multidisciplinary objectification in eHealth. If this antecedent effort in the taxonomy proves, useful subject matter experts could enhance the expense of privacy in the health cloud by verifying, evaluating and revising this taxonomy.
Citation
The author of this paper has made a PDF available, but requires the user to login, or create an account.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.