2020
DOI: 10.3390/electronics9030452
|View full text |Cite
|
Sign up to set email alerts
|

A Systematic Literature Review on Privacy by Design in the Healthcare Sector

Abstract: In this digital age, we are observing an exponential proliferation of sophisticated hardware- and software-based solutions that are able to interact with the users at almost every sensitive aspect of our lives, collecting and analysing a range of data about us. These data, or the derived information out of it, are often too personal to fall into unwanted hands, and thus users are almost always wary of the privacy of such private data that are being continuously collected through these digital mediums. To furth… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
41
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
5

Relationship

0
10

Authors

Journals

citations
Cited by 42 publications
(41 citation statements)
references
References 63 publications
(94 reference statements)
0
41
0
Order By: Relevance
“…Hathaliya and Tanwar [ 23 ] offered a detailed literature review and investigation on the privacy and security problems in healthcare. Similarly, Semantha et al [ 35 ] studied the current literature on privacy design in the healthcare industry and classified the limitations of the designs in the healthcare sector. They also provided crucial development directions for future study.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Hathaliya and Tanwar [ 23 ] offered a detailed literature review and investigation on the privacy and security problems in healthcare. Similarly, Semantha et al [ 35 ] studied the current literature on privacy design in the healthcare industry and classified the limitations of the designs in the healthcare sector. They also provided crucial development directions for future study.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Furthermore, “privacy-by-design” technologies that aim to integrate privacy concepts in the design phase of an AI application, are increasingly being used ( 24 ). For example, at the institutional level, a health insurance system in Romania developed a GDPR compliant cloud-based AI application using a “SwarmESB-based” architecture with advanced data protection features.…”
Section: Resultsmentioning
confidence: 99%
“…To address the privacy challenge, solutions like Privacy by-Design [30] , software defined privacy [31] have to be deployed with 5G health applications already at the design phase. Privacy-by-Design relies on the notion that that data controllers and processors should be proactive in addressing the privacy implications of any new or upgraded system, procedure, policy or data-sharing initiative, not at the later stages of its life-cycle, but starting from its planning phase [32] .…”
Section: Implementation Challengesmentioning
confidence: 99%