Challenges of health analytics utilization: a review of literature

Mohamed Khalifa*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)


The last four decades witnessed a huge progress in digitizing health information, representing an unmatched opportunity for utilizing health analytics in improving the quality of healthcare and reducing its costs. To learn more about different challenges facing the successful utilization of health analytics, a careful review of literature was conducted, and a qualitative analysis was used to explore and classify these challenges. Three main categories of challenges were identified. 1) Technological challenges; hardware, software, and data content, 2) Human challenges; knowledge, experiences, beliefs and attitudes, and end user behaviors, and 3) Organizational challenges; managerial, financial, and legal barriers to optimal utilization of health analytics. The non-technological problems seem to be harder to solve as well as more time consuming, including the existence of a specific business need and a clear vision to guide the project. In addition, health analytics should always be built with the end users in mind.

Original languageEnglish
Title of host publicationHealth informatics vision
Subtitle of host publicationfrom data via information to knowledge
EditorsJohn Mantas, Arie Hasman, Parisis Gallos, Aikaterini Kolokathi, Mowafa S. Househ, Joseph Liaskos
Place of PublicationAmsterdam
PublisherIOS Press
Number of pages4
ISBN (Electronic)9781614999874
ISBN (Print)9781614999867
Publication statusPublished - 1 Jan 2019
Event17th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2019 - Atherns, Greece
Duration: 5 Jul 20197 Jul 2019

Publication series

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


Conference17th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2019


  • Big Data
  • Business Intelligence
  • Health Analytics
  • Hospitals


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