Hospitals are a major employer of statisticians and analytics professionals, both in support of clinical research like the retinopathy study described earlier, and to improve hospital operations (outcomes, cost management, etc.). Here are a few quick facts about the hospital industry: US hospital revenue totals over $1 trillion – about 5% of GDP. This isContinue reading “Industry Spotlight: Hospitals”
Category Archives: Healthcare Statistics
Healthcare Analytics: Exploration versus Confirmation
Perhaps the most active application of analytics and data mining is healthcare. This week we look at one success story, the use of machine learning to predict diabetic retinopathy, one story of disappointment, the use of genetic testing in a puzzling disease, and a basic dichotomy in statistical analysis. In his famous 1977 book thatContinue reading “Healthcare Analytics: Exploration versus Confirmation”