Health analytics types, functions and levels: a review of literature

Mohamed Khalifa*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Citations (Scopus)

Abstract

Health analytics is a business-driven term that encompasses a wide spectrum of aspects and dimensions of business intelligence applications and big data analysis. Healthcare organizations recently are eager to know whether they are getting the full value from the massive amounts of data and information they already have, to achieve their strategic effectiveness goals and operational efficiency objectives. It is very crucial to learn more about the diverse functions, types and levels through which health analytics can support such tasks. A careful review of literature was conducted, and a qualitative analysis was used to classify health analytics. Five main types of analytics could be identified; these are descriptive, diagnostic, predictive, prescriptive and discovery analytics, each has its own distinct role in improving healthcare. In addition to the five types, health analytics could also be classified into three levels of performance and engagement, these are the operational, tactical and strategic health analytics.

Original languageEnglish
Title of host publicationData, informatics and technology
Subtitle of host publicationan inspiration for improved healthcare
EditorsArie Hasman, Parisis Gallos, Joseph Liaskos, Mowafa S. Househ, John Mantas
Place of PublicationNetherlands
PublisherIOS Press
Pages137-140
Number of pages4
ISBN (Electronic)9781614998808
ISBN (Print)9781614998792
DOIs
Publication statusPublished - 1 Jan 2018
Event16th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2018 - Athens, Greece
Duration: 6 Jul 20188 Jul 2018

Publication series

NameStudies in Health Technology and Informatics
Volume251
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference16th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2018
CountryGreece
CityAthens
Period6/07/188/07/18

Keywords

  • Big Data
  • Business Intelligence
  • Health Analytics
  • Hospitals

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