IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-658-40232-7_36.html
   My bibliography  Save this book chapter

AI in the Health Market

In: Work and AI 2030

Author

Listed:
  • Stefan Knupfer

    (AOK PLUS)

  • Stefan Weigert

    (AOK PLUS)

Abstract

Originally developed to enable broad access to medical care in an equitable manner, health insurance companies in Germany are now attributed a very different role by their insured. Accordingly, health insurance companies redefine their purpose and business model and there is no way around artificial intelligence when attempting to better meet evolving customer needs. Potential lies in applications related to both the internal processes and products and services for customers. A desirable future vision is that health insurance companies are allowed to evaluate the data that has long been converging with them in such a way that they can give their insured even more individual recommendations thereby enabling them to achieve their optimal personal health level. But currently they are still stuck in a rather rigid corset, while globally operating corporations can already deal with health data in a very different way.

Suggested Citation

  • Stefan Knupfer & Stefan Weigert, 2023. "AI in the Health Market," Springer Books, in: Inka Knappertsbusch & Kai Gondlach (ed.), Work and AI 2030, pages 323-331, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-40232-7_36
    DOI: 10.1007/978-3-658-40232-7_36
    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.

    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:sprchp:978-3-658-40232-7_36. 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.