IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-319-65455-3_17.html
   My bibliography  Save this book chapter

Health Informatics

In: Operations Research Applications in Health Care Management

Author

Listed:
  • I. Burak Parlak

    (Galatasaray University)

  • A. Cağrı Tolga

    (Galatasaray University)

Abstract

Multidisciplinary medical applications allow us to fill the gap between the engineering and the medicine. The new era in those applications leads to develop new tasks where engineering methods are reinterpreted with the medical point of view. Optimization is a critical tool in medical informatics where the data size is relatively higher and the decision time is relatively limited than other disciplines. Algorithmic developments integrate new problems within this topic using the optimization theory. In addition, decision making theory provides a better knowledge to tackle with macro level medical problems. Even if medical informatics is a broad topic, our focus is limited with the most challenging problems in this chapter. First of all, a brief survey of the related optimization procedures is introduced within the scope of medicine and engineering. The multidisciplinary tasks in medicine provides a complex follow up using the optimization theory. For this purpose, our study in medical informatics uses a development from the micro level; bioinformatics to the macro level; medical investments and hospital engineering. Furthermore, the sequence alignment problem is introduced through global and local techniques. Medical imaging is considered at the crucial level of preprocessing; segmentation and registration. Strategic medical unit reorganization is reviewed by multi criteria decision method. Finally, another cutting edge problem; medical device selection is resolved using favorable decision making. We concluded our study with future aspects and new trends.

Suggested Citation

  • I. Burak Parlak & A. Cağrı Tolga, 2018. "Health Informatics," International Series in Operations Research & Management Science, in: Cengiz Kahraman & Y. Ilker Topcu (ed.), Operations Research Applications in Health Care Management, chapter 0, pages 423-460, Springer.
  • Handle: RePEc:spr:isochp:978-3-319-65455-3_17
    DOI: 10.1007/978-3-319-65455-3_17
    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:isochp:978-3-319-65455-3_17. 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.