Healthcare pioneers are commonly aware of big data to feature trends, patterns of health, as well as potential outcomes for a group of individuals or large population, however for transforming and translating the medical data to make a beneficial interpretation and decisions for aiding in healthcare and medical decision-making, there is a large there is an enormous prerequisite of health informatics and data analytics approaches such as decision support systems. Also, the healthcare sector has been generally lagging in the implementation of Decision Analysis. Therefore, the current review is aimed at identifying the current trends, applications and processes of healthcare data analytics and health informatics with decision support systems for the assistance of healthcare experts, researchers, and analysts to acquire an indepth understanding in their clinical applications. In conclusion, it can be mentioned that the improved decisionmaking algorithms in healthcare informatics can assist in improved approaches to deal with the detection of security problems with medications, equipment and robust techniques for comparative analysis of symptomatic, prevention and treatment alternatives. Keywords: Healthcare, Healthcare Informatics, Data Analytics, Decision Support System, Decision-Analysis