Data mining holds great potential for the healthcare industry to enable health systems to systematically use data and analytics to identify inefficiencies and best practices that improve care and reduce costs. Some experts believe the opportunities to improve care and reduce costs concurrently could apply to as much as 30% of overall healthcare spending. This could be a win/win overall. But due to the complexity of healthcare and a slower rate of technology adoption, our industry lags behind these others in implementing effective data mining and analytic strategies.
Like analytics and business intelligence, the term data mining can mean different things to different people. The most basic definition of data mining is the analysis of large data sets to discover patterns and use those patterns to forecast or predict the likelihood of future events
In your current area of practice/discuss how one large data set is analyzed and how the pattern is used to predict and improve future events.
Initial post due by July 23(two references required) –
Do the paper on sepsis screening tool.
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