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.

Abstract:

Healthcare big data is the whole of record of hospital, doctors, patient and medical processes and it is so complex and this data is quite hard to analyze using some traditional data analytics tools. Healthcare services ensures a multi-disciplinary field of scientific investigation in relation to organizational progresses, social factors, health technologies and financial studies. Thanks to big data, the huge volume of data can be processed and stored effectively for diagnosis. Also suitable treatment of diseases can be observed with these emerging technologies. In this way for researchers, there is a chance in healthcare data to find models and tendencies inside of data and ensure a resolution for developing healthcare, thereby decreasing costs, democratizing health access, and rescuing human lives. Recently, many researchers have suggested some big data approaches on healthcare data to develop the accuracy of analytics. Definition of health care data and effective analysis ensures new perspectives of patients status and propose the most proper treatment opportunities. The purpose of this article is to investigate the decision mechanisms based on big data analytics in healthcare institutions and services, to determine essential big data analytics able to help healthcare leaders’ decisions and to present some tools to raise efficiency along the healthcare services

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