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Summary: Data Mining In The Healthcare Industry

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The healthcare industry is gradually adopting the use of advanced analytics these days. Most healthcare practitioners and other stakeholders agree that the use of advanced analytics gives the necessary information for healthcare facilities to make improvements in their operations (Dinov, 2016). For instance, the use of advanced analytics can help a small-time clinic or hospital improve their quality of services and reduce expenditures. Such improvements help a healthcare facility carry out value-based programs. Ideally, advanced analytics in the medical field helps analyze healthcare data, make discoveries in different areas, reveal the best solutions for problems and assess the effectiveness s of processes that have already been implemented.
Data mining in the healthcare industry is usually the initial step of coming up with predictive analytics, which is a process called data discovery. In many ways, the practice of data mining is similar to predictive analytics since the two concepts use a mathematical approach to break down and analyze data. Crockett and Eliason (2016) explain that data mining in healthcare helps know all useful …show more content…

The method entails the extraction of significant data and information from existing medical achieves, to help understand various patterns of events. According to Wang, Kung and Byrd (2016), predictive analytics in the medical field help doctors and nurses understand how things have been happening and give a predictive future of possible outcomes. Even so, predictive analytics does not provide the exact happening of the future in medicine. An example of the use of predictive analytics is a situation where data helps prevent unnecessary visits to the emergency room. A woman with mental health issues will not have to visit different local emergency rooms and waste money just because there are no shared medical

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