Follow two simple rules to ensure you are getting data insights that actually lead to better outcomes
My last two posts addressed a general overview of the healthcare analytics continuum, and the importance of foundational data integrity to healthcare analytics. For today's post I'd like to dig a little deeper into the difference between descriptive, predictive and prescriptive analytics, with a focus on prescriptive analytics, as I've found it has different meanings for different users.
