scholarly journals Building Standardized and Secure Mobile Health Services Based on Social Media

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2208
Author(s):  
Jesús D. Trigo ◽  
Óscar J. Rubio ◽  
Miguel Martínez-Espronceda ◽  
Álvaro Alesanco ◽  
José García ◽  
...  
Keyword(s):  
Social Media ◽  
Mobile Devices ◽  
Mobile Health ◽  
Healthcare Services ◽  
Small Scale ◽  
Proof Of Concept ◽  
Privacy And Security ◽  
Health Level 7 ◽  
Information Embedding ◽  
Android Applications

Mobile devices and social media have been used to create empowering healthcare services. However, privacy and security concerns remain. Furthermore, the integration of interoperability biomedical standards is a strategic feature. Thus, the objective of this paper is to build enhanced healthcare services by merging all these components. Methodologically, the current mobile health telemonitoring architectures and their limitations are described, leading to the identification of new potentialities for a novel architecture. As a result, a standardized, secure/private, social-media-based mobile health architecture has been proposed and discussed. Additionally, a technical proof-of-concept (two Android applications) has been developed by selecting a social media (Twitter), a security envelope (open Pretty Good Privacy (openPGP)), a standard (Health Level 7 (HL7)) and an information-embedding algorithm (modifying the transparency channel, with two versions). The tests performed included a small-scale and a boundary scenario. For the former, two sizes of images were tested; for the latter, the two versions of the embedding algorithm were tested. The results show that the system is fast enough (less than 1 s) for most mHealth telemonitoring services. The architecture provides users with friendly (images shared via social media), straightforward (fast and inexpensive), secure/private and interoperable mHealth services.

Pervasive Mobile Health

2018 ◽  
pp. 5908-5917
Author(s):  
Muhammad Anshari ◽  
Mohammad Nabil Almunawar
Keyword(s):  
Mobile Devices ◽  
Mobile Health ◽  
Healthcare Providers ◽  
Healthcare Services ◽  
Holistic View ◽  
Web Technologies ◽  
Health Decision Making ◽  
Health Decision ◽  
Healthcare Processes ◽  
Smart Mobile

Pervasive mobile health is mobile health that provides healthcare services accessible regardless of time and place with patients can continuously be connected through their smart mobile devices. It offers healthcare providers a more comprehensive perspective of patients' condition and thus aid in achieving complex healthcare goal(s) such as building lasting relationships with patients. The service can be further extended to accommodate customers' participation in health and healthcare processes to improve healthcare services by extending roles of patients. The advancement of the Web technologies, especially social networks, push eHealth to embrace mobile devices (mHealth) and personalize customers centric services with a possibility to extend and improve services by enabling active participation of patients, patient's families, and the community at large in healthcare processes and personal health decision making. This chapter addresses some important concepts of mHealth, challenges, future trends, and some related terminologies to provide a holistic view of mHealth.

Pervasive Mobile Health

2019 ◽  
pp. 428-438
Author(s):  
Muhammad Anshari ◽  
Mohammad Nabil Almunawar
Keyword(s):  
Mobile Devices ◽  
Mobile Health ◽  
Healthcare Providers ◽  
Healthcare Services ◽  
Holistic View ◽  
Web Technologies ◽  
Health Decision Making ◽  
Health Decision ◽  
Healthcare Processes ◽  
Smart Mobile

Pervasive mobile health is mobile health that provides healthcare services that are accessible regardless of time and place where patients can continuously be connected through their smart mobile devices. It offers healthcare providers a more comprehensive perspective of patients' conditions and thus aids in achieving complex healthcare goal(s) such as building lasting relationships with patients. The service can be further extended to accommodate customers' participation in health and healthcare processes to improve healthcare services by extending roles of patients. The advancement of the web technologies, especially social networks, push e-health to embrace mobile devices (m-health) and personalize customer-centric services with a possibility to extend and improve services by enabling active participation of patients, patients' families, and the community at large in healthcare processes and personal health decision making. This chapter addresses some important concepts of m-health, challenges, future trends, and some related terminologies to provide a holistic view of m-health.

mHealth

2013 ◽  
pp. 99-109 ◽  
Author(s):  
Barbara L. Ciaramitaro ◽  
Marilyn Skrocki
Keyword(s):  
Health Care ◽  
Mobile Devices ◽  
Mobile Health ◽  
Healthcare Services ◽  
Diagnosis And Treatment ◽  
Healthcare Applications ◽  
Mobile Healthcare ◽  
Care Services ◽  
The World ◽  
Health Care Applications

Mobile Healthcare, or mHealth, involves the use of mobile devices in healthcare. It is considered a revolutionary approach to delivering health care services such as diagnosis and treatment, research, and patient monitoring. Much of its revolutionary reach is due to the widespread adoption of mobile devices such as mobile smart phones and tablets such as the Apple Ipad. It is estimated that there are over five billion mobile devices in use throughout the world. In terms of demographics, in the United States, it is estimated that five out of seven Medicaid patients carry a mobile smart phone. One result of this mobile reach is the ability to provide healthcare services to people nonambulatory and isolated in their homes, and in underdeveloped and emerging countries, in ways that were previously cost prohibitive. mHealth is also seen as a way to emphasize prevention through mobile monitoring devices and thereby reduce the overall cost of healthcare. mHealth is viewed as changing the healthcare landscape by changing the relationship between the patient, healthcare provider, and between healthcare providers. “A new generation of eHealth products and services, based on wireless and mobile technology, is putting diagnosis and treatment management into the hands of the patient” (The Mobile Health Crowd, 2010). There is clearly a growing interest in, and emphasis on, mobile healthcare applications in the world today by vendors, physicians and patients. It is predicted that the mobile health application market alone will be worth over $84 million, and that by the year 2015, more than 500 million people will be actively using mobile health care applications (Merrill, 2011; Merrill, 2011b).

Survey of Cloud Computing in Healthcare Sector

2017 ◽  
Vol 7 (7) ◽  
pp. 337
Author(s):  
S. Karthiga Devi ◽  
B. Arputhamary
Keyword(s):  
Cloud Computing ◽  
Healthcare Providers ◽  
High Volume ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Cloud Infrastructure ◽  
Healthcare Organizations ◽  
Privacy And Security ◽  
Healthcare Data ◽  
Number Of Patients

Today the volume of healthcare data generated increased rapidly because of the number of patients in each hospital increasing.  These data are most important for decision making and delivering the best care for patients. Healthcare providers are now faced with collecting, managing, storing and securing huge amounts of sensitive protected health information. As a result, an increasing number of healthcare organizations are turning to cloud based services. Cloud computing offers a viable, secure alternative to premise based healthcare solutions. The infrastructure of Cloud is characterized by a high volume storage and a high throughput. The privacy and security are the two most important concerns in cloud-based healthcare services. Healthcare organization should have electronic medical records in order to use the cloud infrastructure. This paper surveys the challenges of cloud in healthcare and benefits of cloud techniques in health care industries.

Do doctors care? Validating a tool for the assessment of health information security in Spanish-speaking countries (Preprint)

2020 ◽  
Author(s):  
Jorge Andres Delgado-Ron ◽  
Daniel Simancas-Racines
Keyword(s):  
Social Media ◽  
Information Security ◽  
Mobile Devices ◽  
Media Use ◽  
Medical Doctors ◽  
Spanish Translation ◽  
Social Media Use ◽  
Attitudes And Practices ◽  
Human Aspects ◽  
Password Management

BACKGROUND Healthcare has increased its use of information technology over the last few years. A trend followed higher usage of Electronic Health Record in low-and-middle-income countries where doctors use non-medical applications and websites for healthcare-related tasks. Information security awareness and practices are essential to reduce the risk of breaches. OBJECTIVE To assess the internal reliability of the Spanish translation of three areas of the Human Aspects of Information Security Questionnaire (HAIS-Q), and to assess the knowledge, attitudes, and practices of medical doctors around information security. METHODS This is a cross-sectional descriptive study designed as a questionnaire-based. We used focus areas (Password management, social media use, and mobile devices use) from the Human Aspects of Information Security Questionnaire (HAIS-Q). Medical doctors in Ecuador answered an online survey between December 2017 and January 2018. RESULTS A total of 434 health professionals (response rate: 0.65) completed all the questions in our study. Scores were 37.4 (SD 5.9) for Password Management, 35.4 (SD 5.0) for Social Media Use and 35.9 (SD 5.7) for Mobile Devices. Cronbach’s alpha coefficient (α) was 0.78 (95% CI: 0.75, 0.81) for password management, 0.73 (95%CI: 0.69, 0.77) for mobile devices and 0.77 (95% CI: 0.73, 0.78) for Social Media Use. CONCLUSIONS Our study shows that three components of the Spanish translation of the HAIS-Q questionnaire were internally reliable when applied in medical doctors. Medical doctors with eagerness to receive infosec training scored higher in social media use and mobile device use categories.

scholarly journals Detecting Colluding Inter-App Communication in Mobile Environment

2020 ◽  
Vol 10 (23) ◽  
pp. 8351
Author(s):  
Rosangela Casolare ◽  
Fabio Martinelli ◽  
Francesco Mercaldo ◽  
Antonella Santone
Keyword(s):  
Model Checking ◽  
Mobile Devices ◽  
Private Information ◽  
End Users ◽  
Home Automation ◽  
Mobile Environment ◽  
Data Support ◽  
Bank Transfer ◽  
Android Applications

The increase in computing capabilities of mobile devices has, in the last few years, made possible a plethora of complex operations performed from smartphones and tablets end users, for instance, from a bank transfer to the full management of home automation. Clearly, in this context, the detection of malicious applications is a critical and challenging task, especially considering that the user is often totally unaware of the behavior of the applications installed on their device. In this paper, we propose a method to detect inter-app communication i.e., a colluding communication between different applications with data support to silently exfiltrate sensitive and private information. We based the proposed method on model checking, by representing Android applications in terms of automata and by proposing a set of logic properties to reduce the number of comparisons and a set of logic properties automatically generated for detecting colluding applications. We evaluated the proposed method on a set of 1092 Android applications, including different colluding attacks, by obtaining an accuracy of 1, showing the effectiveness of the proposed method.

Social media engagement tactics in U.S. community policing: Potential privacy and security concerns

2020 ◽  
pp. 0032258X2096858
Author(s):  
Alexander E Carter ◽  
Mariea Hoy ◽  
Betsy Byrne DeSimone
Keyword(s):  
Social Media ◽  
Law Enforcement ◽  
Health Information ◽  
Community Policing ◽  
Future Research ◽  
Online Relationships ◽  
Privacy And Security ◽  
Research Directions ◽  
Personally Identifiable Information ◽  
Future Research Directions

Despite law enforcement’s best efforts to use social media as a means of community policing, some engagement tactics may lead citizens to disclose personally identifiable information (PII). We coded 200 tweets with the popular #9PMRoutine that tagged @PascoSheriff (Florida) for participant PII. We found numerous postings of adults’ and children’s PII that are problematic including pictures, health information and security-related comments about their routines or vacations. Implications for law enforcement to protect their communities are discussed as well as opportunities to continue to cultivate their online relationships in a more secure forum. We also provide future research directions.

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