IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v11y2014i4p4262-4279d35170.html
   My bibliography  Save this article

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

Author

Listed:
  • Yu-Feng Lin

    (Department of Computer Science and Information Engineering, National Cheng Kung University, No.1, University Road, Tainan City 701, Taiwan)

  • Hsin-Han Shie

    (Institute of Medical Informatics, National Cheng Kung University, Tainan City 701, Taiwan)

  • Yi-Ching Yang

    (Department of Family Medicine, National Cheng Kung University Hospital, No.138, Sheng Li Road, Tainan City 704, Taiwan)

  • Vincent S. Tseng

    (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)

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.

Suggested Citation

  • Yu-Feng Lin & Hsin-Han Shie & Yi-Ching Yang & Vincent S. Tseng, 2014. "Design of a Real-Time and Continua-Based Framework for Care Guideline Recommendations," IJERPH, MDPI, vol. 11(4), pages 1-18, April.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:4:p:4262-4279:d:35170
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/11/4/4262/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/11/4/4262/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chuan-Jun Su & Chang-Yu Chiang, 2013. "IAServ: An Intelligent Home Care Web Services Platform in a Cloud for Aging-in-Place," IJERPH, MDPI, vol. 10(11), pages 1-25, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tuochen Li & Siran Wang, 2021. "How to Improve the Public Trust of the Intelligent Aging Community: An Empirical Study Based on the ACSI Model," IJERPH, MDPI, vol. 18(4), pages 1-14, February.
    2. Katrien Luijkx & Sebastiaan Peek & Eveline Wouters, 2015. "“Grandma, You Should Do It—It’s Cool” Older Adults and the Role of Family Members in Their Acceptance of Technology," IJERPH, MDPI, vol. 12(12), pages 1-16, December.
    3. Cristina Soguero-Ruiz & Inmaculada Mora-Jiménez & Javier Ramos-López & Teresa Quintanilla Fernández & Antonio García-García & Daniel Díez-Mazuela & Arcadi García-Alberola & José Luis Rojo-Álvarez, 2018. "An Interoperable System toward Cardiac Risk Stratification from ECG Monitoring," IJERPH, MDPI, vol. 15(3), pages 1-16, March.
    4. Luciana Cardoso & Fernando Marins & Filipe Portela & Manuel Santos & António Abelha & José Machado, 2014. "The Next Generation of Interoperability Agents in Healthcare," IJERPH, MDPI, vol. 11(5), pages 1-23, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:11:y:2014:i:4:p:4262-4279:d:35170. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.