Abstract:

Big data in health services is a set of hospitals, doctors, patients and medical processes. It’s complex and it’s quite difficult to analyze these data using traditional data analysis tools. It provides a multidisciplinary field of scientific research related to health services, financial studies, health technologies, social factors and organizational processes. With the help of big data, large amounts of data can be stored and used effectively for diagnosis. In addition, these advanced technologies can also monitor proper treatment of diseases. Researchers find new patterns and trends by studying large-scale data in healthcare services. Thus, they provide the opportunity to reduce health care costs, democratize access to healthcare and save human lives. In recent years, many researchers have suggested big data approaches in healthcare data to improve analytical accuracy. Effective analysis and identification of health care data provides new perspectives on the patient’s condition and recommends the best treatment opportunities. The purpose of this article is to explore the decision-making mechanisms based on big data analysis in health institutions and services, identify the basic big data analysis that can help health care leaders make decisions, and provide some tools to increase efficiency throughout health care services.