Titlebook: Impact Analysis of Solutions for Chronic Disease Prevention and Management; 10th International C Mark Donnelly,Cristiano Paggetti,Mounir Mo

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書目名稱Impact Analysis of Solutions for Chronic Disease Prevention and Management讀者反饋




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羅盤

Insubordinate

無辜

978-3-642-30778-2Springer-Verlag Berlin Heidelberg 2012

抗原

Impact Analysis of Solutions for Chronic Disease Prevention and Management978-3-642-30779-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

健談的人

A Robot-Environment Cooperation Architecture for the Safety of Elderly People at Homeforeseen situations so that the robot can move reliably in the home. It is necessary also to take into account two constraints, at first the degree of urgency of the service and secondly the degree of discomfort caused by the presence of a robot which is able to act near the person and see the person in her/his privacy.

Feckless

Medical Expert Support Tool (MEST): A Person-Centric Approach for Healthcare Managementn of the patient. The tool has been designed along with the clinician involved in the project and it will be fully tested and evaluated during the observational study (100 patients) starting on June 2012.

聲音刺耳

The Integration of e-health into the Clinical Workflow – Electronic Health Record and Standardizatioinformation transmission and storage within an internal repository during the monitoring period. This solution represents an example of care continuum concretization completely integrated with the European Health System directives.

nascent

Challenges of User-Centred Research in the Development of Ambient Assisted Living Systemshe SOPRANO project involved users at all stages in the iterative development of an AAL system. This paper presents the main findings from the study, reflects on the key challenges in adopting a user-centred approach, and identifies some of the barriers to the widespread implementation of AAL systems within the spectrum of care for older people.

lipoatrophy

User Adoption of Mobile Apps for Chronic Disease Management: A Case Study Based on myFitnessCompanioners in adopting mobile health apps and are willing to pay for it. Most users choose to enter data manually instead of using automated wireless Bluetooth sensors. Users prefer to store the collected data on the phone rather than exporting it to Personal Health Record Systems.