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London, United Kingdom

Hsu M.-S.,Health-Smart
Gerontechnology | Year: 2014

Purpose: Taiwan held a 'Senior U-Care Flagship Program' with the goal of promoting the development of Telehealth care services by encouraging hospitals, medical devices manufacturers, IT vendors, and health care providers to develop telehealth care solutions for the elderly and to create feasible business models1. This paper describes a case study of the Ming-Sheng telecare services founded by the U-care program. In order to expand the customer base, discharged patients and pregnant women have been included since 20092. Method: The Smart Care service, announced by the Ming-Sheng General Hospital in 2007, is a common telehealth care model in Taiwan. Figure 1 shows the service flowchart. The elderly or discharged patients can join the service on the recommendation of their doctors. Patients will be able to regularly measure vital signs at home according to the measurement prescription issued by their doctors. They then upload the measurement data and report their current health status and symptoms by home gateways or interactive voice response systems. The nursing team in the call center, which is composed of professional nurses and doctors, will phone patients in order to periodically assess patients' health status and address of their concerns. The nursing team will give suggestions and instructions to the patient or caregiver with assistance from information systems. Smart Care services serverd over 30,000 elderly and admission patients in 2009-2011. A telephone survey was created after applying Smart Care service for six-month to evaluate the effects of this research. Results & Discussion: The Ming-Sheng General Hospital experiment that developed the Smart Care service demonstrates the improvement of health status rate and saving of medical cost: (i) Improvement of health status: when 163 elderly with chronic diseases joined the smart care service in 2008, the average days in hospital fell by 21% (form 1.23 days to 0.97 days). (ii) Saving medical costs for discharged patients: During a six-month operation, days spent in the hospital fell by 12%, the medical costs decreased $151,912 USD (case number 2323, 1/2010-6/2010). The Smart Care service faces many challenges, such as willingness to pay, sustain ability, and legal restrictions. To further enhance the development of telehealth care in Taiwan, there is a need to amend the policies and regulations for the innovative service. Source


Pun S.-K.,Health-Smart
CIN - Computers Informatics Nursing | Year: 2016

Patients undergoing hemodialysis are highly susceptible to infections, which could lead to morbidity and mortality. One of the major sources of infections stems from the mishandling of hemodialysis access sites. Although healthcare workers receive training on how to aseptically handle hemodialysis catheters, the increasing number of blood infections associated with dialysis suggests that the conventional approach to training may not be sufficient to ensure a clear understanding of the necessary knowledge and skills. With advancements in digital technology, computer-assisted learning has been gaining popularity as an approach to teaching clinical skills. The purpose of this study was to evaluate the effectiveness of a computer-based training system developed to teach healthcare workers catheter-access hemodialysis management. Forty nurses were recruited and randomly assigned into two groups: the control group, which received conventional training only; and the experimental group, which received both conventional and computer-based training. A knowledge test and a skills competence test were administered to both groups before and after the intervention to evaluate their performance. The results show that the performance of the nurses in the experimental group was significantly better than that in the control group, indicating that the proposed training system is an effective tool for supplementing the learning of catheter-access hemodialysis management. Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved. Source


Deng Z.,Jiangnan University | Deng Z.,University of California at Davis | Choi K.-S.,Health-Smart | Jiang Y.,Jiangnan University | Wang S.,University of California at Davis
IEEE Transactions on Cybernetics | Year: 2014

Inductive transfer learning has attracted increasing attention for the training of effective model in the target domain by leveraging the information in the source domain. However, most transfer learning methods are developed for a specific model, such as the commonly used support vector machine, which makes the methods applicable only to the adopted models. In this regard, the generalized hidden-mapping ridge regression (GHRR) method is introduced in order to train various types of classical intelligence models, including neural networks, fuzzy logical systems and kernel methods. Furthermore, the knowledge-leverage based transfer learning mechanism is integrated with GHRR to realize the inductive transfer learning method called transfer GHRR (TGHRR). Since the information from the induced knowledge is much clearer and more concise than that from the data in the source domain, it is more convenient to control and balance the similarity and difference of data distributions between the source and target domains. The proposed GHRR and TGHRR algorithms have been evaluated experimentally by performing regression and classification on synthetic and real world datasets. The results demonstrate that the performance of TGHRR is competitive with or even superior to existing state-of-the-art inductive transfer learning algorithms. © 2014 IEEE. Source


Nolan-Clark D.,Landmark Nutrition Pty Ltd | Mathers E.,Dietitian | Probst Y.,Health-Smart | Batterham M.,Statistical Consulting Service | Tapsell L.C.,University of Wollongong
Journal of the Academy of Nutrition and Dietetics | Year: 2013

Replacing full-fat dairy products with reduced-fat varieties is a dietetic strategy for reducing energy intake while maintaining nutritional adequacy. This study aimed to explore the dietary outcomes of this recommendation in the context of weight loss. This study involved a secondary analysis of diet-history data for 86 adults (23 males and 63 females; body mass index=31.1±3.4) who had completed 3 months of a weight-loss trial in 2009, including advice to consume reduced-fat dairy products. Dairy food intake was categorized using the Australian 1995 National Nutrition Survey food hierarchy. Paired t tests and Wilcoxon signed rank tests determined dairy product consumption change after dietetic intervention. Total fat and energy per day from dairy products decreased significantly, from 14.1±1.2 g to 5.8±0.6 g and 283±20 kcal to 223±14 kcal, respectively, and total carbohydrate from dairy products increased significantly (P=0.04). Only 19.7% of participants met their dietary target of two to three servings of dairy foods per day at 3 months. When analyzed by sex, males decreased their intake of dairy products significantly, from 377.63±62.3 g/day to 357.3±46.7 g/day. Despite consuming less fat from dairy products, females did not significantly reduce energy intake from these foods (P=0.05). This study indicated that men and women responded differently to advice to change from regular to reduced-fat dairy products. Of more concern, however, is that in a weight-loss context, both men and women might choose to consume fewer servings of this food category with significant nutritional implications. Overall, this research highlights the need to consider the impact of sex and the background diet when recommending reduced-fat dairy products in the weight-loss context. © 2013 Academy of Nutrition and Dietetics. Source


Pelegris P.,Brunel University | Banitsas K.,Brunel University | Orbach T.,Health-Smart | Marias K.,Foundation for Research and Technology Hellas
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 | Year: 2010

Heart Beat Rate calculation has traditionally been conducted using specialized hardware most commonly in the form of pulse oximeters or Electrocardiogram devices. Even though these methods offer high reliability, they require the users to have special sensor to measure their heart rate. In this paper we propose a system capable of estimating the heart beat rate using just a camera from a commercially available mobile phone. The advantage of this method is that the user does not need specialized hardware and s/he can take a measurement in virtually any place under almost any circumstances. Moreover the measurement provided can be used as a tool for health coaching applications or effective telecare services aimed in enhancing the user's well being. © 2010 IEEE. Source

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