ArticleJournal of medical systems2016
Data Privacy in Cloud-assisted Healthcare Systems: State of the Art and Future Challenges.
Article in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Security challenges and solutions using healthcare cloud computing.Journal of medicine and lifePooled it
- Towards a secure cloud repository architecture for the continuous monitoring of patients with mental disorders.Frontiers in digital health · 2025Article
- Patient-Generated Health Data (PGHD): Understanding, Requirements, Challenges, and Existing Techniques for Data Security and Privacy.Journal of personalized medicine · 2024Review
- Implementation of cloud computing in the German healthcare system.NPJ digital medicine · 2024Review
- Privacy-Aware Architectures for NFC and RFID Sensors in Healthcare Applications.Sensors (Basel, Switzerland) · 2022Article
- Vehicular networks for combating a worldwide pandemic: Preventing the spread of COVID-19.Smart health (Amsterdam, Netherlands) · 2022Article
- Key Challenges and Opportunities for Cloud Technology in Health Care: Semistructured Interview Study.JMIR human factors · 2022Article
- Fog-based healthcare systems: A systematic review.Multimedia tools and applications · 2021Article
- Artificial Intelligence in Health Care: Current Applications and Issues.Journal of Korean medical science · 2020Review
- Improving Individual Acceptance of Health Clouds through Confidentiality Assurance.Applied clinical informatics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The widespread deployment and utility of Wireless Body Area Networks (WBAN's) in healthcare systems required new technologies like Internet of Things (IoT) and cloud computing, that are able to deal with the storage and processing limitations of WBAN's. This amalgamation of WBAN-based healthcare systems to cloud-based healthcare systems gave rise to serious privacy concerns to the sensitive healthcare data. Hence, there is a need for the proactive identification and effective mitigation mechanisms for these patient's data privacy concerns that pose continuous threats to the integrity and stability of the healthcare environment. For this purpose, a systematic literature review has been conducted that presents a clear picture of the privacy concerns of patient's data in cloud-assisted healthcare systems and analyzed the mechanisms that are recently proposed by the research community. The methodology used for conducting the review was based on Kitchenham guidelines. Results from the review show that most of the patient's data privacy techniques do not fully address the privacy concerns and therefore require more efforts. The summary presented in this paper would help in setting research directions for the techniques and mechanisms that are needed to address the patient's data privacy concerns in a balanced and light-weight manner by considering all the aspects and limitations of the cloud-assisted healthcare systems.
Indexed as
Identifiers
27155893What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.