Smart and Connected Health Projects: Characteristics and Research Challenges

Author(s):  
Jiangping Chen ◽  
Minghong Chen ◽  
Jingye Qu ◽  
Haihua Chen ◽  
Juncheng Ding
2018 ◽  
Vol 73 (3) ◽  
pp. 215-229 ◽  
Author(s):  
Wendy S. Grolnick ◽  
David J. Schonfeld ◽  
Merritt Schreiber ◽  
Judith Cohen ◽  
Valerie Cole ◽  
...  
Keyword(s):  

2016 ◽  
Vol 24 (1) ◽  
pp. 101
Author(s):  
Shijiang ZUO ◽  
Niwen HUANG ◽  
Fang WANG ◽  
Pan CAI

2018 ◽  
Author(s):  
Ram Dixit ◽  
Sahiti Myneni

BACKGROUND Connected Health technologies are a promising solution for chronic disease management. However, the scope of connected health systems makes it difficult to employ user-centered design in their development, and poorly designed systems can compound the challenges of information management in chronic care. The Digilego Framework addresses this problem with informatics methods that complement quantitative and qualitative methods in system design, development, and architecture. OBJECTIVE To determine the accuracy and validity of the Digilego information architecture of personal health data in meeting cancer survivors’ information needs. METHODS We conducted a card sort study with 9 cancer survivors (patients and caregivers) to analyze correspondence between the Digilego information architecture and cancer survivors’ mental models. We also analyzed participants’ card sort groups qualitatively to understand their conceptual relations. RESULTS We observed significant correlation between the Digilego information architecture and cancer survivors’ mental models of personal health data. Heuristic analysis of groups also indicated informative discordances and the need for patient-centric categories relating health tracking and social support in the information architecture. CONCLUSIONS Our pilot study shows that the Digilego Framework can capture cancer survivors’ information needs accurately; we also recognize the need for larger studies to conclusively validate Digilego information architectures. More broadly, our results highlight the importance of complementing traditional user-centered design methods and innovative informatics methods to create patient-centered connected health systems.


Author(s):  
Michele Micheletti ◽  
Didem Oral

Typically, political consumerism is portrayed in straightforward, unproblematic ways. This chapter discusses how and why political consumerism—and particularly boycotts—can be confusing and problematic. Theoretically it focuses on moral dilemmas within political consumerism and the key role of overriding moral claims in the motivations for and actions of political consumer causes. An ideal type model, constructed for analyzing unproblematic and problematic political consumerism, is applied to cases of more unproblematic political consumerism (e.g., the Nestlé, Nike, and South African boycotts) and more problematic political consumerism (e.g., the Disney boycott and the movement against Israeli settlements in the occupied Palestine territories). The chapter also addresses why other forms of political consumerism (buycotts and discursive actions) seem less vulnerable to moral dilemmas as well as the research challenges in studying more problematic cases of political consumerism.


Author(s):  
Roger Moussa ◽  
Bruno Cheviron

Floods are the highest-impact natural disasters. In agricultural basins, anthropogenic features are significant factors in controlling flood and erosion. A hydrological-hydraulic-erosion diagnosis is necessary in order to choose the most relevant action zones and to make recommendations for alternative land uses and cultivation practices in order to control and reduce floods and erosion. This chapter first aims to provide an overview of the flow processes represented in the various possible choices of model structure and refinement. It then focuses on the impact of the spatial distribution and temporal variation of hydrological soil properties in farmed basins, representing their effects on the modelled water and sediment flows. Research challenges and leads are then tackled, trying to identify the conditions in which sufficient adequacy exists between site data and modelling strategies.


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