The mHealth Stack

2012 ◽  
pp. 1-17
Author(s):  
Benjamin Falchuk ◽  
David Famolari ◽  
Russell Fischer ◽  
Shoshana Loeb ◽  
Euthimios Panagos
Keyword(s):  
Mobile Devices ◽  
Mobile Phones ◽  
Healthcare Services ◽  
Cloud Services ◽  
Healthcare Applications ◽  
Patient Centered ◽  
Mobile Healthcare ◽  
Care Givers ◽  
Current Usage

Applications accessible through mobile devices, such as mobile phones, are playing an increasingly important part in the delivery of high quality and personalized healthcare services. In this paper, we examine current usage of mobile devices and networks by mobile healthcare applications, and present our views on how mobile devices and networks could be used for creating patient-centered healthcare applications. The patient-centered healthcare paradigm allows for increased quality of care and quality of life for patients while increasing personal freedom to move about and be always connected to care-givers and healthcare services. The structure of our discussion is analogous to layered protocol stack in communications, progressing from the network and radio technologies, servicing middleware, cloud services, health sensors, mobile smartphones, and applications. All these layers come into play to support future mobile healthcare services.

The mHealth Stack

2010 ◽  
Vol 1 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Benjamin Falchuk ◽  
David Famolari ◽  
Russell Fischer ◽  
Shoshana Loeb ◽  
Euthimios Panagos
Keyword(s):  
Mobile Devices ◽  
Healthcare Services ◽  
Cloud Services ◽  
Protocol Stack ◽  
Healthcare Applications ◽  
Patient Centered ◽  
Mobile Healthcare ◽  
Care Givers ◽  
Current Usage

Applications accessible through mobile devices, such as mobile phones, are playing an increasingly important part in the delivery of high quality and personalized healthcare services. In this paper, we examine current usage of mobile devices and networks by mobile healthcare applications, and present our views on how mobile devices and networks could be used for creating patient-centered healthcare applications. The patient-centered healthcare paradigm allows for increased quality of care and quality of life for patients while increasing personal freedom to move about and be always connected to care-givers and healthcare services. The structure of our discussion is analogous to layered protocol stack in communications, progressing from the network and radio technologies, servicing middleware, cloud services, health sensors, mobile smartphones, and applications. All these layers come into play to support future mobile healthcare services.

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).

The relationship between patient donation and satisfaction with online healthcare service quality

2019 ◽  
Vol 47 (12) ◽  
pp. 1-10
Author(s):  
Yuanrong Hu ◽  
Shengkang Lu ◽  
Zhongming Tang
Keyword(s):  
Patient Satisfaction ◽  
Healthcare Service ◽  
Outcome Quality ◽  
Healthcare Applications ◽  
Mobile Healthcare ◽  
Process And Outcome ◽  
Patient Consultation ◽  
The Impact ◽  
The Relationship

We explored how donation relates to patient satisfaction with the quality of process and outcome in an online healthcare service. Using a dataset of 496,723 patient consultation records collected from ChunyuDoctor, which is among the largest of the Chinese mobile healthcare applications, we conducted a multiple regression and found that patient satisfaction with both process and outcome jointly influenced their donation. We also found that higher quality satisfaction levels meant paying patients were more likely to donate than were free patients. Our results also showed satisfaction with the quality of the process and the outcome had an equal impact on patient donation for the free patients, but the impact of process quality was greater than that of outcome quality for the paying patients, suggesting the importance of enhancing the quality of the process in an online healthcare service. Implications of the findings are discussed.

A Mobile Cloud Middleware to Support Mobility and Cloud Interoperability

2016 ◽  
Vol 7 (1) ◽  
pp. 41-58 ◽  
Author(s):  
Khadija Akherfi ◽  
Hamid Harroud ◽  
Michael Gerndt
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Storage ◽  
Mobile Cloud Computing ◽  
Relevant Information ◽  
Cloud Services ◽  
Mobile Cloud ◽  
Computing Power ◽  
Cloud Interoperability

With the recent advances in cloud computing and the improvement in the capabilities of mobile devices in terms of speed, storage, and computing power, Mobile Cloud Computing (MCC) is emerging as one of important branches of cloud computing. MCC is an extension of cloud computing with the support of mobility. In this paper, the authors first present the specific concerns and key challenges in mobile cloud computing. They then discuss the different approaches to tackle the main issues in MCC that have been introduced so far, and finally focus on describing the proposed overall architecture of a middleware that will contribute to providing mobile users data storage and processing services based on their mobile devices capabilities, availability, and usage. A prototype of the middleware is developed and three scenarios are described to demonstrate how the middleware performs in adapting the provision of cloud web services by transforming SOAP messages to REST and XML format to JSON, in optimizing the results by extracting relevant information, and in improving the availability by caching. Initial analysis shows that the mobile cloud middleware improves the quality of service for mobiles, and provides lightweight responses for mobile cloud services.

scholarly journals THE ACCURACY OF ALGORITHMS FOR WLAN INDOOR POSITIONING AND THE STANDARDIZATION OF SIGNAL RECEPTION FOR DIFFERENT MOBILE DEVICES

2014 ◽  
pp. 103-109
Author(s):  
Uwe Grossmann ◽  
Markus Schauch ◽  
Syuzanna Hakobyan
Keyword(s):  
Mobile Devices ◽  
Mobile Phones ◽  
Indoor Positioning ◽  
Base Station ◽  
Personal Digital Assistants ◽  
Strength Index ◽  
Average Accuracy ◽  
Different Types ◽  
Seminar Room

Often mobile devices like mobile phones or personal digital assistants (PDA) are equipped with IEEE 802.11 WLAN adapters. Furthermore, within many buildings a WLAN infrastructure is available. The aim of this work is to investigate the quality of different indoor positioning methods based on values of WLAN received signal strength index (RSSI) using commercially available devices (mobile phones, PDA). Three positioning algorithms were considered: minimal Euclidian distance, intersections of RSSI-Isolines and a stochastic model based on Bayes' theorem. Two measuring testbeds, a museum's exhibition room and an empty seminar room, four different types of PDA (Dell, Fujitsu, HP, T-Mobile) and two types of access points (Netgear, Lancom) were used. Results show that positioning can be achieved with an average accuracy of approx. 2-3 metres. WLAN capable mobile devices behave differently in receiving RSSI values of a base station. For reasons of standardization a linear correlation between different receiving levels of PDA was investigated.

A Risk-Based Classification of Mobile Applications in Healthcare

2011 ◽  
Vol 3 (2) ◽  
pp. 28-39
Author(s):  
Josh Feiser ◽  
Vijay V. Raghavan ◽  
Teuta Cata
Keyword(s):  
Mobile Devices ◽  
Mobile Applications ◽  
Chronic Care ◽  
Risk Profile ◽  
Healthcare Applications ◽  
Term Care ◽  
Mobile Healthcare ◽  
Wide Range

Mobile devices and applications are becoming popular in today’s society. The number of applications available to both the patient and the healthcare provider is changing the way healthcare is being delivered and consumed. The integration of mobile devices into every-day lives is driving the changes in healthcare. While all areas of medicine are being impacted, changes are mostly of chronic care, long term care and any place that causes a need for constant data, monitoring or training. The acceptance of mobile devices by healthcare consumers within wide range of age and socioeconomic circumstances is reason to look at mobile technology as the future of healthcare. While increased use of mobile applications are welcomed by most providers and consumers alike, there is a need to systematize the study of its use. The authors provide a framework for considering mobile applications in healthcare, based on their risk-profile. They accomplish this by first identifying and classifying the mobile healthcare applications.

A Survey of Mobile Computing Devices and Sensors in Healthcare Applications

2018 ◽  
pp. 51-57
Author(s):  
Narayana Moorthi M. ◽  
Manjula R.
Keyword(s):  
Mobile Computing ◽  
Mobile Devices ◽  
Mobile Phones ◽  
Healthcare Industry ◽  
Integrated Sensors ◽  
Healthcare Applications ◽  
Care And Treatment

Mobile devices are continuously improving, adding integrated sensors, which are of value to the healthcare industry. Sensor-enabled mobile phones collect data from patients, which is useful for doctors in providing immediate care and treatment. As smartphones become ubiquitous, their use as health monitors should become commonplace. This chapter surveys mobile computing devices and sensors in healthcare applications.

Cloud-Based Service Delivery Architecture with Service-Populating and Mobility-Aware Mechanisms

2014 ◽  
pp. 183-199
Author(s):  
Fragkiskos Sardis ◽  
Glenford Mapp ◽  
Jonathan Loo
Keyword(s):  
Service Delivery ◽  
Mobile Devices ◽  
Cloud Services ◽  
Network Resources ◽  
Internet Backbone ◽  
High Bandwidth ◽  
Processing And Storage ◽  
Cloud Technologies ◽  
And Storage

Advances in Mobile and Cloud technologies have redefined the way we perceive and use computers. Mobile devices now rely on Cloud technology for storage and applications. Furthermore, recent advances in network technology ensure that mobile devices in the future will have high-bandwidth connectivity at all times. This drives the incentive of doing all the processing and storage in the Cloud and using mobile devices to access the services. In this chapter, the authors argue that always-on connectivity along with increased demand of Cloud services will contest the Internet backbone and create problems in the management of Cloud resources. Client mobility is also a factor that should be taken into account when providing Cloud services to mobile devices. The authors therefore propose a new service delivery architecture that takes into account client mobility as well as the distance between clients and services in order to manage Cloud and network resources more efficiently and provide a better Quality of Experience for the user.

scholarly journals Can We Rely on Mobile Devices and Other Gadgets to Assess the Postural Balance of Healthy Individuals? A Systematic Review

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2972 ◽  
Author(s):  
Alexandre S. Pinho ◽  
Ana P. Salazar ◽  
Ewald M. Hennig ◽  
Barbara C. Spessato ◽  
Antoinette Domingo ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mobile Devices ◽  
Mobile Phones ◽  
Postural Balance ◽  
Inertial Sensors ◽  
Cost Benefit ◽  
Healthy Adults ◽  
Discriminatory Power ◽  
Healthy Individuals

The consequences of falls, costs, and complexity of conventional evaluation protocols have motivated researchers to develop more effective balance assessments tools. Healthcare practitioners are incorporating the use of mobile phones and other gadgets (smartphones and tablets) to enhance accessibility in balance evaluations with reasonable sensitivity and good cost–benefit. The prospects are evident, as well as the need to identify weakness and highlight the strengths of the different approaches. In order to verify if mobile devices and other gadgets are able to assess balance, four electronic databases were searched from their inception to February 2019. Studies reporting the use of inertial sensors on mobile and other gadgets to assess balance in healthy adults, compared to other evaluation methods were included. The quality of the nine studies selected was assessed and the current protocols often used were summarized. Most studies did not provide enough information about their assessment protocols, limiting the reproducibility and the reliability of the results. Data gathered from the studies did not allow us to conclude if mobile devices and other gadgets have discriminatory power (accuracy) to assess postural balance. Although the approach is promising, the overall quality of the available studies is low to moderate.

scholarly journals Introducing mobile cloud technology into m-health to deliver better care/support in case of emergencies

2015 ◽  
pp. 20-26
Author(s):  
Hazzaa Naif Alshareef
Keyword(s):  
Mobile Devices ◽  
Healthcare Services ◽  
Physical Activities ◽  
Ease Of Use ◽  
Medical Professionals ◽  
The Public ◽  
Laboratory Results ◽  
Access Services ◽  
Care Support

Recent years have seen an increase in the use of mobile devices such as smartphones, tablets, and smart-bands in people’s lives. Features offered by these types of devices, such as ease of use and being wireless enabled, allow people to access services that can improve their quality of life. One of the most important aspects of life that can be accessed through mobile devices is health services, whereby users have the ability to track their health status ‘on the move’, such as by tracking physical activities (e.g., walking and running) and monitoring body status (e.g., heartbeats rate). On the other side, medical professionals and centres can use mobile devices to provide better healthcare services to the public, as doctors, for example, can access patients’ records and laboratory results on the move instead of looking at printed charts or files. This reduces the time needed to deliver healthcare to patients. Furthermore, ...

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