Data Mining And Its Impact On Healthcare

1227 WordsApr 17, 20175 Pages
Introduction Society today highly values health. Billions of dollars are spent on healthcare each year and there is a constant pressure to improve healthcare. Despite the work put into healthcare, people continue to complain of low quality. However, in our age we have resources that haven’t always been available to solve these problems. Electronic health care records, the internet, mobile phones and apps are a few of the many technologies that contribute to the copious amount of data we have access to today. This large amount of data can be overwhelming. While it once seemed impossible to sort through and extract meaningful patterns from these enormous amounts of data, automated data processing techniques have significantly advanced.…show more content…
Like Luna et al., Kuo, Sahama, Kushniruk, Borycki, & Grunwell (2014) note the inconsistency of the definition of big data in research. They, however, say this inconsistency is because big data is an evolving concept. They describe big data as data that is so large, so complex, and growing so fast that traditional data management methods cannot hold or organize it. Kuo et al.’s and Luna et al.’s definitions varied among syntax, but both stressed the complex nature of big data. This variation seemed to be a trend among several of the researchers. While each researcher’s definitions somewhat differed, each seemed to agree that big data is data that is so complicated that traditional methods cannot handle it. The researchers continued to agree that the complex health data available today falls under the definition of big data. The need to find a way to handle big data leads to data mining. Most researchers defined data mining similarly to Swain (2016). Swain described data mining as using technological processes to analyze big data and find unsuspected relationships among variables for future use. He continues to state that data mining technologies can find value from billions of gigabytes of data gathered from various sources. Huang, Lu, & Duan (2012) add to Swain’s definition by noting that, as opposed to typical statistical studies, data mining uses computational methods that allow the study to look
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