Location Privacy Protection in Smart Health Care System

2019 ◽  
Vol 6 (2) ◽  
pp. 3055-3069 ◽  
Author(s):  
Iynkaran Natgunanathan ◽  
Abid Mehmood ◽  
Yong Xiang ◽  
Longxiang Gao ◽  
Shui Yu
Author(s):  
Balaji V R ◽  
Dinesh Kumar J R ◽  
A. Arivarasan ◽  
J. Karthick Raja ◽  
P. Chidambaram

Author(s):  
Subasish Mohapatra ◽  
Prashanta Kumar Patra ◽  
Subhadarshini Mohanty ◽  
Bhagyashree Pati

2018 ◽  
Vol 25 (6) ◽  
pp. 1883-1902 ◽  
Author(s):  
Jawahitha Sarabdeen ◽  
Immanuel Azaad Moonesar

Purpose The move toward e-health care in various countries is envisaged to reduce the cost of provision of health care, improve the quality of care and reduce medical errors. The most significant problem is the protection of patients’ data privacy. If the patients are reluctant or refuse to participate in health care system due to lack of privacy laws and regulations, the benefit of the full-fledged e-health care system cannot be materialized. The purpose of this paper is to investigate the available e-health data privacy protection laws and the perception of the people using the e-health care facilities. Design/methodology/approach The researchers used content analysis to analyze the availability and comprehensive nature of the laws and regulations. The researchers also used survey method. Participants in the study comprised of health care professionals (n=46) and health care users (n=187) who are based in the Dubai, United Arab Emirates. The researchers applied descriptive statistics mechanisms and correlational analysis to analyze the data in the survey. Findings The content analysis revealed that the available health data protection laws are limited in scope. The survey results, however, showed that the respondents felt that they could trust the e-health services systems offered in the UAE as the data collected is protected, the rights are not violated. The research also revealed that there was no significance difference between the nationality and the privacy data statements. All the nationality agreed that there is protection in place for the protection of e-health data. There was no significance difference between the demographic data sets and the many data protection principles. Originality/value The findings on the users’ perception could help to evaluate the success in realizing current strategies and an action plan of benchmarking could be introduced.


Smart City has become increasingly important worldwide since the last decade. It is the advanced system for communication among people with smart infrastructure ingrained in the smart city. In the smart city, the infrastructure will track and manage all basic facilities, health care, law implementation, water supply, traffic, and transport. Improvement in smart sensor networks, ubiquitous computing, mobile cloud computing, and intellectual services for the communication of information among the sensors, all these facilities built the base for the smart city. The smart health care system will perform an important part in transforming old cities into smart cities. Telecommunication engineering scientists have prepared smarter health services which are improving the standards of living of the society. These health care services significantly develop the quality of health care services in hospitals and also decrease the burden of health care professionals and paramedical staff. This research article presents the applications of a smart health care system which will benefit everyone in the society by providing easy telecommunication access to health care professionals and patients. This system will also track the patient's health online using wearable and implantable devices.


2017 ◽  
Author(s):  
Amaryllis Mavragani ◽  
Alexia Sampri ◽  
Karla Sypsa ◽  
Konstantinos P Tsagarakis

Author(s):  
Mir Hassan ◽  
Remigijus Paulavicius ◽  
Ernestas Filatovas ◽  
Adnan Iftekhar

Blockchain and Machine Learning gives the best solutions together in performing various tasks in the Smart Health care system. With these two new emerging technologies, that have materialized in the last decade. In this paper, we proposed secure, transparent and intelligent methods in the Internate of medical things industry using Machine learning models and blockchain technology to enhance security level and train our models to improve diagnostic, prevention, treatment of the patient, patient rights, patient autonomy and equality in the health care system.


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