The Role of Big Data Technologies in Geographically Distributed Medical Organizations’ IT Service Architecture
Alissa Dubgorn () and
Alena Ershova
Additional contact information
Alissa Dubgorn: Peter the Great St. Petersburg Polytechnic University
Alena Ershova: Peter the Great St. Petersburg Polytechnic University
A chapter in Digitalization of Society, Economics and Management, 2022, pp 1-13 from Springer
Abstract:
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.
Keywords: Medical organizations; Geographically distributed medical organizations; IT service architecture; Big data in health care (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-94252-6_1
Ordering information: This item can be ordered from
http://www.springer.com/9783030942526
DOI: 10.1007/978-3-030-94252-6_1
Access Statistics for this chapter
More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().