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Int. J. Environ. Res. Public Health 2014, 11(4), 4262-4279; doi:10.3390/ijerph110404262

Design of a Real-Time and Continua-Based Framework for Care Guideline Recommendations

Department of Computer Science and Information Engineering, National Cheng Kung University, No.1, University Road, Tainan City 701, Taiwan
Institute of Medical Informatics, National Cheng Kung University, Tainan City 701, Taiwan
Department of Family Medicine, National Cheng Kung University Hospital, No.138, Sheng Li Road, Tainan City 704, Taiwan
Author to whom correspondence should be addressed.
Received: 1 March 2014 / Revised: 3 April 2014 / Accepted: 4 April 2014 / Published: 16 April 2014
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Telehealth is an important issue in the medical and healthcare domains. Although a number of systems have been developed to meet the demands of emerging telehealth services, the following problems still remain to be addressed: (1) most systems do not monitor/predict the vital signs states so that they are able to send alarms to caregivers in real-time; (2) most systems do not focus on reducing the amount of work that caregivers need to do, and provide patients with remote care; and (3) most systems do not recommend guidelines for caregivers. This study thus proposes a framework for a real-time and Continua-based Care Guideline Recommendation System (Cagurs) which utilizes mobile device platforms to provide caregivers of chronic patients with real-time care guideline recommendations, and that enables vital signs data to be transmitted between different devices automatically, using the Continua standard. Moreover, the proposed system adopts the episode mining approach to monitor/predict anomalous conditions of patients, and then offers related recommended care guidelines to caregivers so that they can offer preventive care in a timely manner. View Full-Text
Keywords: telehealth; care guideline recommendation; continua health alliance; episode mining; personalized care telehealth; care guideline recommendation; continua health alliance; episode mining; personalized care

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Lin, Y.-F.; Shie, H.-H.; Yang, Y.-C.; Tseng, V.S. Design of a Real-Time and Continua-Based Framework for Care Guideline Recommendations. Int. J. Environ. Res. Public Health 2014, 11, 4262-4279.

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