"Applying de-identified health risk factors for each of our locations is much better than our dart throwing strategy"
"Heat maps which use actual client data gives employers the information they need to make good decisions"
"Stratifying risk makes a lot of sense. I endorse this method 100%"
Underlying health conditions, such as diabetes, hypertension, and asthma as well as health risk factors including obesity and smoking, increase the vulnerability of catching COVID-19. While employers are managing the basic blocking and tackling (safe distancing, hand sanitizers, masks, and staggering shifts) we go way above and beyond the basics. Our solution is smart because we calculate risk scores and stratify the population. We do this by 1) Analyzing the COVID-19 counties and health risk factors where employees live, and 2) Digging deeper by leveraging claims data to assess the risk based on underlying conditions. This can be accomplished in a de-identified as well as an identifiable manner.
In these extraordinary times "fast" is the only option. Given the velocity and danger of the spread, the only play is to hit the ground running. The good news is we only need data which is readily available in most organizations. Once we get the data we can generally publish heat maps within 1 - 2 weeks. Fast enough?!