**7. Conclusions**

There is no doubt that financial and human resources will be invested in the near future to improve health services through big data analytics. The number of problems solved through their use is enormous, and at present, there does not seem to be an alternative technology with comparable potential. For this reason, it is certain that the use of data on a large scale will concern not only "large" institutions and organizations in the future but that each clinic and doctor will have to use the technological tools available to them

in order to provide health services. This is optimal because large sums of money are wasted unnecessarily, either due to inefficient managemen<sup>t</sup> resulting from poor handling or incorrect treatment and diagnosis. More importantly, the human factor, i.e., the radical upgrade of health services that can usher in a new era, is the most important reason to dispel any doubts about the proliferation of big data analysis in the future. This paper demonstrates the abundance of opportunities to deliver more targeted, large-scale, and cost-effective healthcare by leveraging the available data and big data analytics. However, the healthcare sector has been shown to have specific characteristics and challenges that require additional research efforts in order to fully benefit from the opportunities. In our next work, we will propose a methodology to develop big data analysis in the health field and design a new flexible architecture that meets the challenges mentioned in this review.

**Author Contributions:** Methodology and Conceptualization, N.B.; validation and review, F.E.M. and Y.E.B.E.I.; writing—original draft preparation, N.B. and Y.F. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research received no external funding.

**Data Availability Statement:** Not applicable.

**Conflicts of Interest:** The authors declare no conflict of interest.
