In this post, I describe risk adjustment, an important tool in health analytics. I’ll cover what it is, how it is used, how it is done and how well it performs. What it is In the sport of boxing, matches are held between two boxers of the same weight class and gender. A match would … Continue reading Risk Adjustment 101
Category: predictive modeling
On Opioids and Analytics
In this post I describe how I would go about using health analytics to identify patients most at risk of an opioid overdose. The Facts In 2016, there were 42,249 deaths in the US that involved opioids. That equates to a 13.3/100,000 mortality rate, and approx. one opioid related death every 10 minutes! By the time … Continue reading On Opioids and Analytics
Decision Trees – intro
As mentioned before, I'm not a fan of using advanced analytic techniques for the sake of intellectual pursuits. I'm a HUGE fan of asking good questions, framing analysis well, knowing data well, quickly arriving at actionable insights. A trained data scientist's toolbox has many statistical techniques, each of which has strengths and weaknesses. A health … Continue reading Decision Trees – intro
The Analytics Pro 