ArticleJournal of medical systems2016
Analysis of Security Protocols for Mobile Healthcare.
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 5 papers.
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
5 citing papers in PubMed.
- Authentication Schemes for Healthcare Applications Using Wireless Medical Sensor Networks: A Survey.SN computer science · 2022Article
- A Comprehensive Survey on Security and Privacy for Electronic Health Data.International journal of environmental research and public health · 2021Review
- A Robust and Efficient ECC-based Mutual Authentication and Session Key Generation Scheme for Healthcare Applications.Journal of medical systems · 2018Article
- Development of a Modular Research Platform to Create Medical Observational Studies for Mobile Devices.JMIR research protocols · 2017Article
- A Mutual Authentication Framework for Wireless Medical Sensor Networks.Journal of medical systems · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mobile Healthcare (mHealth) continues to improve because of significant improvements and the decreasing costs of Information Communication Technologies (ICTs). mHealth is a medical and public health practice, which is supported by mobile devices (for example, smartphones) and, patient monitoring devices (for example, various types of wearable sensors, etc.). An mHealth system enables healthcare experts and professionals to have ubiquitous access to a patient's health data along with providing any ongoing medical treatment at any time, any place, and from any device. It also helps the patient requiring continuous medical monitoring to stay in touch with the appropriate medical staff and healthcare experts remotely. Thus, mHealth has become a major driving force in improving the health of citizens today. First, we discuss the security requirements, issues and threats to the mHealth system. We then present a taxonomy of recently proposed security protocols for mHealth system based on features supported and possible attacks, computation cost and communication cost. Our detailed taxonomy demonstrates the strength and weaknesses of recently proposed security protocols for the mHealth system. Finally, we identify some of the challenges in the area of security protocols for mHealth systems that still need to be addressed in the future to enable cost-effective, secure and robust mHealth systems.
Indexed as
Identifiers
27640159What 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.