They’re never just numbers – there are real people behind them, every stat represents a person like you and I. So please stop and think about how the application of our analytics affects the people that generated them in the 1st place.
Analyze the negative space. Ask questions about experiences NOT in the data but should be. Who exists in the population but is NOT represented in the data?
Use Episodic fields! These give a leg up on a lot of other external reporting. The combination of prescription drugs and medical claims into one field leads to a more holistic picture for analysis and the clients.
These tell us what the population should and does look like.
– Teena K.
It’s what this is all about. All the data in the world is meaningless unless we transform it for insights. The ultimate goal is to make every member’s healthcare experience benefit from these analytics.
– Gloria O.
These offer both analytic value and the opportunity to help people who may need it the most.
– Alison B.
When creating a Dynamic Grouping cohort, don’t forget about the “Enter Values To Link” button on the Manage Groups page. This will allow you to copy/paste multiple values into Enlight and may make your cohort-building process much faster.
– Alex M.
Always validate your results, never take a number at face value. Know how you or the system got that number. I like to use commentary cells as helpful notes for myself and others to document how or why a report was set up a certain way.
– Wes A.
When I start new reporting projects, I always ask “What story are you looking to tell?” In addition to data visualization design I use the Stories feature in Enlight to organize analytics so they tell a logical, cohesive story.
– Allyson P.
Learn more about Enlight – the Health Data platform this Analytics Practice uses for deep connected health insights!Meet Enlight