scholarly journals What They Gain Depends on What They Do: An Exploratory Empirical Research on Effective Use of Mobile Healthcare Applications

2019 ◽  
Author(s):  
Yao Yu ◽  
Xiangda Yan ◽  
Xi Zhang ◽  
Shuling Zhou
Keyword(s):  
Empirical Research ◽  
Healthcare Applications ◽  
Mobile Healthcare ◽  
Effective Use

The Impact of Visual Feedback Type on the Mastery of Visuo-Motor Transformations

2012 ◽  
Vol 220 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Sandra Sülzenbrück
Keyword(s):  
Empirical Research ◽  
Visual Feedback ◽  
Closed Loop ◽  
Motor Planning ◽  
Visual Input ◽  
Closed Loop Control ◽  
Loop Control ◽  
Feedback Type ◽  
Effective Use ◽  
The Impact

For the effective use of modern tools, the inherent visuo-motor transformation needs to be mastered. The successful adjustment to and learning of these transformations crucially depends on practice conditions, particularly on the type of visual feedback during practice. Here, a review about empirical research exploring the influence of continuous and terminal visual feedback during practice on the mastery of visuo-motor transformations is provided. Two studies investigating the impact of the type of visual feedback on either direction-dependent visuo-motor gains or the complex visuo-motor transformation of a virtual two-sided lever are presented in more detail. The findings of these studies indicate that the continuous availability of visual feedback supports performance when closed-loop control is possible, but impairs performance when visual input is no longer available. Different approaches to explain these performance differences due to the type of visual feedback during practice are considered. For example, these differences could reflect a process of re-optimization of motor planning in a novel environment or represent effects of the specificity of practice. Furthermore, differences in the allocation of attention during movements with terminal and continuous visual feedback could account for the observed differences.

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

Attitudes and Tourists’ Sustainable Behavior: An Overview of the Literature and Discussion of Some Theoretical and Methodological Issues

2019 ◽  
Vol 59 (4) ◽  
pp. 579-601 ◽  
Author(s):  
Paola Passafaro
Keyword(s):  
Empirical Research ◽  
Environmental Psychology ◽  
Methodological Issues ◽  
Tourism Studies ◽  
Different Types ◽  
Sustainable Behavior ◽  
Effective Use ◽  
Theoretical Foundations

The article reports an overview of studies that have investigated the role of attitudes in understanding tourists’ sustainable choices. The literature is discussed in the light of theories and empirical research in social and environmental psychology. The aim is to show how past and present work in these disciplines can help tourism scholars to deal with the complex functioning of the attitude concept when this is applied to sustainability issues. Particular attention has been paid to the theoretical and methodological distinctions between the different types of attitudes as they relate to sustainability. Suggestions for improving the effective use of attitudes in sustainability related tourism studies are made together with a discussion of the possible research avenues directed to consolidate as well as to broaden the theoretical foundations of the use of the attitude concept in this field.

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
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