Cloud-based service for secure Electronic Medical Record exchange

Salama

Proceedings of the 5th International Conference on Digital Health 2015

2015

E-health is defined as the use of information and communications technologies (ICT) in supporting health and health-related fields.The goal of this review is to survey efforts and accomplishments performed on e-health systems in Egypt, assess their potential impact, and guide future implementations and evaluations. The review shows that Egypt has still a long way to go in realizing a fully integrated efficient e-health system, but there is an undeniable hope that it has started on the long tedious journey towards e-health system.

Section: Secondary Health Carementioning

confidence: 99%

E-Health in Egypt

Salama

Proceedings of the 5th International Conference on Digital Health 2015

2015

“…For example, Fernández-Cardeñosa et al [59] proposed two solutions for electronic health record systems based on cloud computing. Radwan et al [60] also presented a cloud-based platform that provides developers, health care providers, and organizations with a framework for retrieving and managing medical records and personal health records. In Phase III, "big data" was the most frequent sudden word.…”

Section: Sudden Word Analysismentioning

confidence: 99%

Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis

Gu¹,

Yang²,

Deng³

et al. 2020

J Med Internet Res

Background With the continuous development of the internet and the explosive growth in data, big data technology has emerged. With its ongoing development and application, cloud computing technology provides better data storage and analysis. The development of cloud health care provides a more convenient and effective solution for health. Studying the evolution of knowledge and research hotspots in the field of cloud health care is increasingly important for medical informatics. Scholars in the medical informatics community need to understand the extent of the evolution of and possible trends in cloud health care research to inform their future research. Objective Drawing on the cloud health care literature, this study aimed to describe the development and evolution of research themes in cloud health care through a knowledge map and common word analysis. Methods A total of 2878 articles about cloud health care was retrieved from the Web of Science database. We used cybermetrics to analyze and visualize the keywords in these articles. We created a knowledge map to show the evolution of cloud health care research. We used co-word analysis to identify the hotspots and their evolution in cloud health care research. Results The evolution and development of cloud health care services are described. In 2007-2009 (Phase I), most scholars used cloud computing in the medical field mainly to reduce costs, and grid computing and cloud computing were the primary technologies. In 2010-2012 (Phase II), the security of cloud systems became of interest to scholars. In 2013-2015 (Phase III), medical informatization enabled big data for health services. In 2016-2017 (Phase IV), machine learning and mobile technologies were introduced to the medical field. Conclusions Cloud health care research has been rapidly developing worldwide, and technologies used in cloud health research are simultaneously diverging and becoming smarter. Cloud–based mobile health, cloud–based smart health, and the security of cloud health data and systems are three possible trends in the future development of the cloud health care field.

Section: Introductionmentioning

confidence: 99%

“…It enables a patient to create, manage and control their health details in a seamless platform through the web, subsequently providing smooth transfer, storage, retrieval and sharing of patient's personal and health records with medical personnel. 1,2 The EHR system is also beneficial to the medical facility, as it allows the medical personnel to remotely access accurate and up-to-date patient's records without the need to meet the patient on a regular face-to-face basis. Furthermore, the EHR system has proven very useful in providing coordinated and efficient care, for instance, in cases where a patient needs an emergency treatment and as the ambulance is conveying the patient to the clinic, the doctor is accessing their data to check drugs they may be allergic to and their medical history to avoid the adverse effect of administering the wrong treatment and reducing medical errors.…”

Section: Introductionmentioning

confidence: 99%

HoneyDetails: A prototype for ensuring patient’s information privacy and thwarting electronic health record threats based on decoys

Omolara¹,

Jantan

Abiodun

et al. 2020

Health Informatics J

Advancements in electronic health record system allow patients to store and selectively share their medical records as needed with doctors. However, privacy concerns represent one of the major threats facing the electronic health record system. For instance, a cybercriminal may use a brute-force attack to authenticate into a patient’s account to steal the patient’s personal, medical or genetic details. This threat is amplified given that an individual’s genetic content is connected to their family, thus leading to security risks for their family members as well. Several cases of patient’s data theft have been reported where cybercriminals authenticated into the patient’s account, stole the patient’s medical data and assumed the identity of the patients. In some cases, the stolen data were used to access the patient’s accounts on other platforms and in other cases, to make fraudulent health insurance claims. Several measures have been suggested to address the security issues in electronic health record systems. Nevertheless, we emphasize that current measures proffer security in the short-term. This work studies the feasibility of using a decoy-based system named HoneyDetails in the security of the electronic health record system. HoneyDetails will serve fictitious medical data to the adversary during his hacking attempt to steal the patient’s data. However, the adversary will remain oblivious to the deceit due to the realistic structure of the data. Our findings indicate that the proposed system may serve as a potential measure for safeguarding against patient’s information theft.