Design of a real-time and Continua-based framework for Care Guideline Recommendations

Yu Feng Lin, Hsin Han Shie, Yi Ching Yang, Vincent S. Tseng

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)4262-4279
Number of pages18
JournalInternational journal of environmental research and public health
Volume11
Issue number4
DOIs
Publication statusPublished - 2014 Apr 16

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All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

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