Healthcare Analytics: A Comprehensive Review

  • A. Alghamdi College of Computer and Information Systems, Umm Al Qura University, Saudi Arabia
  • T. Alsubait College of Computer and Information Systems, Umm Al Qura University, Saudi Arabia
  • A. Baz College of Computer and Information Systems, Umm Al Qura University, Saudi Arabia
  • H. Alhakami College of Computer and Information Systems, Umm Al Qura University, Saudi Arabia https://orcid.org/0000-0002-4908-5573
Volume: 11 | Issue: 1 | Pages: 6650-6655 | February 2021 | https://doi.org/10.48084/etasr.3965

Abstract

Big data have attracted significant attention in recent years, as their hidden potentials that can improve human life, especially when applied in healthcare. Big data is a reasonable collection of useful information allowing new breakthroughs or understandings. This paper reviews the use and effectiveness of data analytics in healthcare, examining secondary data sources such as books, journals, and other reputable publications between 2000 and 2020, utilizing a very strict strategy in keywords. Large scale data have been proven of great importance in healthcare, and therefore there is a need for advanced forms of data analytics, such as diagnostic data and descriptive analysis, for improving healthcare outcomes. The utilization of large-scale data can form the backbone of predictive analytics which is the baseline for future individual outcome prediction.

Keywords: healthcare, big data, healthcare analytics, descriptive analytics, diagnostic analytics

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