IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v18y2016i2d10.1007_s10796-016-9641-2.html
   My bibliography  Save this article

Big data and analytics in healthcare: Introduction to the special section

Author

Listed:
  • Atreyi Kankanhalli

    (National University of Singapore)

  • Jungpil Hahn

    (National University of Singapore)

  • Sharon Tan

    (National University of Singapore)

  • Gordon Gao

    (University of Maryland)

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:infosf:v:18:y:2016:i:2:d:10.1007_s10796-016-9641-2
    DOI: 10.1007/s10796-016-9641-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-016-9641-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10796-016-9641-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chang-Gyu Yang & Hee-Jun Lee, 2016. "A study on the antecedents of healthcare information protection intention," Information Systems Frontiers, Springer, vol. 18(2), pages 253-263, April.
    2. Prem Timsina & Jun Liu & Omar El-Gayar, 2016. "Advanced analytics for the automation of medical systematic reviews," Information Systems Frontiers, Springer, vol. 18(2), pages 237-252, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Lei, Yunliang, 2024. "Enhancing environmental management through big data: spatial analysis of urban ecological governance and big data development," LSE Research Online Documents on Economics 122571, London School of Economics and Political Science, LSE Library.
    12. 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.
    13. 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.
    14. Justin M. Johnson & Taghi M. Khoshgoftaar, 2020. "The Effects of Data Sampling with Deep Learning and Highly Imbalanced Big Data," Information Systems Frontiers, Springer, vol. 22(5), pages 1113-1131, October.
    15. Bendik Bygstad & Egil Øvrelid & Thomas Lie & Magnus Bergquist, 2020. "Developing and Organizing an Analytics Capability for Patient Flow in a General Hospital," Information Systems Frontiers, Springer, vol. 22(2), pages 353-364, April.
    16. Xuan Wang & Jun Sun & Ying Wang & Yi Liu, 2022. "Deepen electronic health record diffusion beyond breadth: game changers and decision drivers," Information Systems Frontiers, Springer, vol. 24(2), pages 537-548, April.
    17. 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.
    18. Justin M. Johnson & Taghi M. Khoshgoftaar, 0. "The Effects of Data Sampling with Deep Learning and Highly Imbalanced Big Data," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
    19. 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.
    20. Saba Bashir & Usman Qamar & Farhan Hassan Khan, 0. "WebMAC: A web based clinical expert system," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    21. 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.
    22. 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.

    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. Saba Bashir & Usman Qamar & Farhan Hassan Khan, 0. "WebMAC: A web based clinical expert system," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    2. 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.
    3. Yoon Sang Lee & Chulhwan Chris Bang, 2022. "Framework for the Classification of Imbalanced Structured Data Using Under-sampling and Convolutional Neural Network," Information Systems Frontiers, Springer, vol. 24(6), pages 1795-1809, December.
    4. Robert E. Crossler & France Bélanger & Dustin Ormond, 2019. "The quest for complete security: An empirical analysis of users’ multi-layered protection from security threats," Information Systems Frontiers, Springer, vol. 21(2), pages 343-357, April.
    5. Eunkyung Kweon & Hansol Lee & Sangmi Chai & Kyeongwon Yoo, 2021. "The Utility of Information Security Training and Education on Cybersecurity Incidents: An empirical evidence," Information Systems Frontiers, Springer, vol. 23(2), pages 361-373, April.
    6. Aaron W. Baur, 0. "Harnessing the social web to enhance insights into people’s opinions in business, government and public administration," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    7. Amita Goyal Chin & Mark A. Harris & Robert Brookshire, 2022. "An Empirical Investigation of Intent to Adopt Mobile Payment Systems Using a Trust-based Extended Valence Framework," Information Systems Frontiers, Springer, vol. 24(1), pages 329-347, February.
    8. Victoria Kisekka & Sanjay Goel, 2023. "An Investigation of the Factors that Influence Job Performance During Extreme Events: The Role of Information Security Policies," Information Systems Frontiers, Springer, vol. 25(4), pages 1439-1458, August.
    9. Aaron W. Baur, 2017. "Harnessing the social web to enhance insights into people’s opinions in business, government and public administration," Information Systems Frontiers, Springer, vol. 19(2), pages 231-251, April.
    10. Xuan Wang & Jun Sun & Ying Wang & Yi Liu, 2022. "Deepen electronic health record diffusion beyond breadth: game changers and decision drivers," Information Systems Frontiers, Springer, vol. 24(2), pages 537-548, April.
    11. 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.
    12. Margareta Heidt & Jin P. Gerlach & Peter Buxmann, 2019. "Investigating the Security Divide between SME and Large Companies: How SME Characteristics Influence Organizational IT Security Investments," Information Systems Frontiers, Springer, vol. 21(6), pages 1285-1305, December.

    More about this item

    Statistics

    Access and download statistics

    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:spr:infosf:v:18:y:2016:i:2:d:10.1007_s10796-016-9641-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.