IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-030-94252-6_1.html
   My bibliography  Save this book chapter

The Role of Big Data Technologies in Geographically Distributed Medical Organizations’ IT Service Architecture

In: Digitalization of Society, Economics and Management

Author

Listed:
  • Alissa Dubgorn

    (Peter the Great St. Petersburg Polytechnic University)

  • Alena Ershova

    (Peter the Great St. Petersburg Polytechnic University)

Abstract

The paper presents an analysis of how big data technologies can be applied to the business activities of geographically distributed medical organizations. Characteristics of geographically distributed medical organizations are analyzed in the context of information requirements and opportunities of big data matching these requirements. A case study is presented, describing a Russian geographically distributed organization’s functional structure and enterprise architecture model presenting, how IT applications and big data technologies interact when realizing analytics IT services.

Suggested Citation

  • Alissa Dubgorn & Alena Ershova, 2022. "The Role of Big Data Technologies in Geographically Distributed Medical Organizations’ IT Service Architecture," Lecture Notes in Information Systems and Organization, in: Evgeny Zaramenskikh & Alena Fedorova (ed.), Digitalization of Society, Economics and Management, pages 1-13, Springer.
  • Handle: RePEc:spr:lnichp:978-3-030-94252-6_1
    DOI: 10.1007/978-3-030-94252-6_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:lnichp:978-3-030-94252-6_1. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.