How Predictive Modeling in Healthcare Boosts Patient Care
What is predictive modeling and why is it critical? Research firm Deloitte offers a simple definition: "Predictive analytics can be described as a branch of advanced analytics that is used to make predictions about unknown future events or activities that lead to decisions." In contrast to prescriptive analysis, which uses datasets to streamline existing processes and improve operational performance, predictive frameworks use machine learning and artificial intelligence models to identify correlations between disparate data sources and provide actionable recommendations. As Phan says, the predictive power of data analysis is particularly important in medicine. "Medical treatment is an art," he says. “While science is behind it, decision making is an art. An AI-driven model can help support decisions for doctors - and not just the model itself, but also the sensors and devices that can be used to collect medical data. " LEARN MORE : Find out how predic