Utilizing health analytics in improving the performance of hospitals and healthcare services: promises and challenges

Mohamed Khalifa, Mowafa Househ

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

2 Citations (Scopus)


Health informatics is heading towards utilizing big data analytics, business intelligence, and artificial intelligence in exploring current and potential healthcare challenges and recommending evidence-based solutions to enhance strategic effectiveness and improve operational efficiency. We need to explore various advantages and potential gains of utilizing health analytics in addition to discussing different types of challenges and methods of overcoming these challenges in implementing and utilizing such resources. We conducted a focused review of literature to classify the advantages of implementing and utilizing health analytics. Health analytics challenges and critical success factors were also examined and categorised based on qualitative thematic analysis. Through examining sixty eligible studies, our focused review of literature identified three ways to classify advantages and potential gains of utilizing health analytics; based on healthcare levels, aspects, and dimensions. We also identified three main categories of challenges of health analytics: human, technological, and organisational. Using health analytics, several healthcare aspects can be improved, such as patient safety, healthcare effectiveness, efficiency, and timeliness. Health analytics implementation is faced with various technology, human, and organization related challenges. The non-technological challenges are more difficult and need more time to be resolved, including the development of a clear vision to guide implementation projects.
Original languageEnglish
Title of host publicationMultiple perspectives on artificial intelligence in healthcare
Subtitle of host publicationopportunities and challenges
EditorsMowafa Househ, Elizabeth Borycki, Andre Kushniruk
Place of PublicationCham, Switzerland
Number of pages17
ISBN (Electronic)9783030673031
ISBN (Print)9783030673024
Publication statusPublished - 1 Jun 2021

Publication series

NameLecture Notes in Bioengineering
ISSN (Print)2195-271X
ISSN (Electronic)2195-2728


  • Health analytics
  • Big data
  • Business intelligence
  • Artificial intelligence
  • Healthcare performance improvement
  • Hospitals


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