Healthcare analytics-A literature review and proposed research agenda

Front Big Data. 2023 Oct 5:6:1277976. doi: 10.3389/fdata.2023.1277976. eCollection 2023.

Abstract

This research addresses the demanding need for research in healthcare analytics, by explaining how previous studies have used big data, AI, and machine learning to identify, address, or solve healthcare problems. Healthcare science methods are combined with contemporary data science techniques to examine the literature, identify research gaps, and propose a research agenda for researchers, academic institutions, and governmental healthcare organizations. The study contributes to the body of literature by providing a state-of-the-art review of healthcare analytics as well as proposing a research agenda to advance the knowledge in this area. The results of this research can be beneficial for both healthcare science and data science researchers as well as practitioners in the field.

Keywords: AI; big data; data analytics; data science; healthcare; literature review; machine learning.

Publication types

  • Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by Luleå University of Technology (LTU) under grant number 383211.