4 Essential Lessons For Adopting Predictive Analytics In Healthcare

By David K. Crockett, Ph.D., Senior Director of Research and Predictive Analytics, Health Catalyst

Information plus context equals knowledge. But predictions made solely for the sake of making a prediction are a waste of time and money.

In healthcare and other industries, predictors are most useful when their knowledge can be transferred into action. The willingness to intervene is the golden key to harnessing the power of historical and real-time data. More importantly, to best judge the efficacy and value of forecasting a trend and ultimately changing behavior, both the predictor and the intervention must be integrated back into the same system and workflow where the trend originally occurred.  Case in point: using predictive analytics in healthcare to mediate hospital readmissions.

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