IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i15p9064-d870414.html
   My bibliography  Save this article

An Empirical Study for Senior Citizens Using a Customized Medical Informatics System for Dementia Diagnosis and Analysis

Author

Listed:
  • Hsu-Hua Ho

    (Neurology Department, Catholic St. Joseph’s Hospital, Yunlin 63241, Taiwan)

  • Jien-Jou Lin

    (Department of Business Administration, Soochow University, Taipei City 100, Taiwan)

  • Jia-Qiao Gong

    (Department of Information Management, National Chi Nan University, Nantou 54561, Taiwan)

  • Tzu-Yi Yu

    (Department of Information Management, National Chi Nan University, Nantou 54561, Taiwan)

Abstract

The treatment of dementia-related diseases is a global issue. Taiwan is facing a more serious dementia problem due to the combination of an aging society and a declining birthrate. A great portion of healthcare resources has been utilized for dementia among the aged population. In order to understand how dementia develops in rural areas in Taiwan, a cooperated effort between the university and a regional hospital was formed to develop a customized medical information system to collect and track dementia patients. This efficient customized system compiled information on 768 patients with dementia-released diseases. Big data technology and data mining approaches were then applied to analyze the relevant information. Using statistical analysis, we then extracted useful medical findings from the large amounts of collected medical data. Some of the findings indicate that the patients’ education level and care practices have a major effect on the dementia severity in these local senior populations.

Suggested Citation

  • Hsu-Hua Ho & Jien-Jou Lin & Jia-Qiao Gong & Tzu-Yi Yu, 2022. "An Empirical Study for Senior Citizens Using a Customized Medical Informatics System for Dementia Diagnosis and Analysis," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9064-:d:870414
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/15/9064/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/15/9064/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Atreyi Kankanhalli & Jungpil Hahn & Sharon Tan & Gordon Gao, 2016. "Big data and analytics in healthcare: Introduction to the special section," Information Systems Frontiers, Springer, vol. 18(2), pages 233-235, April.
    2. Kato, Ryuta Ray, 2022. "Population aging and labor mobility in Japan," Japan and the World Economy, Elsevier, vol. 62(C).
    3. Agüero-Torres, H. & Fratiglioni, L. & Guo, Z. & Viitanen, M. & Von Strauss, E. & Winblad, B., 1998. "Dementia is the major cause of functional dependence in the elderly: 3- year follow-up data from a population-based study," American Journal of Public Health, American Public Health Association, vol. 88(10), pages 1452-1456.
    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. Bram Klievink & Bart-Jan Romijn & Scott Cunningham & Hans Bruijn, 2017. "Big data in the public sector: Uncertainties and readiness," Information Systems Frontiers, Springer, vol. 19(2), pages 267-283, April.
    2. Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
    3. Powdthavee, Nattavudh & Oswald, Andrew J., 2020. "Is there a link between air pollution and impaired memory? Evidence on 34,000 english citizens," Ecological Economics, Elsevier, vol. 169(C).
    4. Saba Bashir & Usman Qamar & Farhan Hassan Khan, 2018. "WebMAC: A web based clinical expert system," Information Systems Frontiers, Springer, vol. 20(5), pages 1135-1151, October.
    5. Ashish Gupta & Amit Deokar & Lakshmi Iyer & Ramesh Sharda & Dave Schrader, 2018. "Big Data & Analytics for Societal Impact: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(2), pages 185-194, April.
    6. Mary Beth Landrum & Kate A. Stewart & David M. Cutler, 2009. "Clinical Pathways to Disability," NBER Chapters, in: Health at Older Ages: The Causes and Consequences of Declining Disability among the Elderly, pages 151-187, National Bureau of Economic Research, Inc.
    7. Qizhi Tao & Yizhe Dong & Ziming Lin, 2017. "Who can get money? Evidence from the Chinese peer-to-peer lending platform," Information Systems Frontiers, Springer, vol. 19(3), pages 425-441, June.
    8. Yiğit Kazançoğlu & Muhittin Sağnak & Çisem Lafcı & Sunil Luthra & Anil Kumar & Caner Taçoğlu, 2021. "Big Data-Enabled Solutions Framework to Overcoming the Barriers to Circular Economy Initiatives in Healthcare Sector," IJERPH, MDPI, vol. 18(14), pages 1-21, July.
    9. Saba Bashir & Usman Qamar & Farhan Hassan Khan, 0. "WebMAC: A web based clinical expert system," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    10. Prabhsimran Singh & Surleen Kaur & Abdullah M. Baabdullah & Yogesh K. Dwivedi & Sandeep Sharma & Ravinder Singh Sawhney & Ronnie Das, 2023. "Is #SDG13 Trending Online? Insights from Climate Change Discussions on Twitter," Information Systems Frontiers, Springer, vol. 25(1), pages 199-219, February.
    11. Qizhi Tao & Yizhe Dong & Ziming Lin, 0. "Who can get money? Evidence from the Chinese peer-to-peer lending platform," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    12. Yogesh K. Dwivedi & Marijn Janssen & Emma L. Slade & Nripendra P. Rana & Vishanth Weerakkody & Jeremy Millard & Jan Hidders & Dhoya Snijders, 2017. "Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling," Information Systems Frontiers, Springer, vol. 19(2), pages 197-212, April.
    13. Yogesh K. Dwivedi & Marijn Janssen & Emma L. Slade & Nripendra P. Rana & Vishanth Weerakkody & Jeremy Millard & Jan Hidders & Dhoya Snijders, 0. "Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    14. Bram Klievink & Bart-Jan Romijn & Scott Cunningham & Hans Bruijn, 0. "Big data in the public sector: Uncertainties and readiness," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    15. Bonsang, Eric & Adam, Stéphane & Perelman, Sergio, 2012. "Does retirement affect cognitive functioning?," Journal of Health Economics, Elsevier, vol. 31(3), pages 490-501.
    16. Mamoun T. Mardini & Zbigniew W. Raś, 2022. "Discovering Primary Medical Procedures and their Associations with Other Procedures in HCUP Data," Information Systems Frontiers, Springer, vol. 24(1), pages 133-147, February.
    17. Bag, Surajit & Dhamija, Pavitra & Singh, Rajesh Kumar & Rahman, Muhammad Sabbir & Sreedharan, V. Raja, 2023. "Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study," Journal of Business Research, Elsevier, vol. 154(C).
    18. Bendik Bygstad & Egil Øvrelid & Thomas Lie & Magnus Bergquist, 0. "Developing and Organizing an Analytics Capability for Patient Flow in a General Hospital," Information Systems Frontiers, Springer, vol. 0, pages 1-12.
    19. Davit Marikyan & Savvas Papagiannidis & Eleftherios Alamanos, 2023. "Cognitive Dissonance in Technology Adoption: A Study of Smart Home Users," Information Systems Frontiers, Springer, vol. 25(3), pages 1101-1123, June.
    20. Dominic Trépel, 2011. "Informal Cost of Dementia Care – A Proxy-Good Valuation in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 42(4), pages 479-503.

    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:jsusta:v:14:y:2022:i:15:p:9064-:d:870414. 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.