Doctor search service. Using Geo2tag LBS platform for mobile healthcare applications

2012 ◽  
Author(s):  
Ivan Bezyazychnyy ◽  
Kirill Krinkin
Keyword(s):  
Healthcare Applications ◽  
Mobile Healthcare ◽  
Search Service

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.

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.

Data accuracy aware mobile healthcare applications

2018 ◽  
Vol 97 ◽  
pp. 54-66 ◽  
Author(s):  
Lamia Ben Amor ◽  
Imene Lahyani ◽  
Mohamed Jmaiel
Keyword(s):  
Data Accuracy ◽  
Healthcare Applications ◽  
Mobile Healthcare

A 48.6-to-105.2 µW Machine Learning Assisted Cardiac Sensor SoC for Mobile Healthcare Applications

2014 ◽  
Vol 49 (4) ◽  
pp. 801-811 ◽  
Author(s):  
Shu-Yu Hsu ◽  
Yingchieh Ho ◽  
Po-Yao Chang ◽  
Chauchin Su ◽  
Chen-Yi Lee
Keyword(s):  
Machine Learning ◽  
Healthcare Applications ◽  
Mobile Healthcare

Cybersecurity and privacy issues for socially integrated mobile healthcare applications operating in a multi-cloud environment

2017 ◽  
Vol 25 (2) ◽  
pp. 315-329 ◽  
Author(s):  
Jalal Al-Muhtadi ◽  
Basit Shahzad ◽  
Kashif Saleem ◽  
Wasif Jameel ◽  
Mehmet A Orgun
Keyword(s):  
Cloud Environment ◽  
Healthcare Applications ◽  
Mobile Healthcare ◽  
Privacy Issues ◽  
Multi Cloud

Low power sensor design for IoT and mobile healthcare applications

2015 ◽  
Vol 12 (5) ◽  
pp. 42-54 ◽  
Author(s):  
Xican Chen ◽  
Woogeun Rhee ◽  
Zhihua Wang
Keyword(s):  
Low Power ◽  
Sensor Design ◽  
Healthcare Applications ◽  
Mobile Healthcare ◽  
Power Sensor
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