The innovation that’s been missing is properly measuring all the health characteristics at play, to clearly identify and contextualize how these interlocking variables affect one another. This helps us better understand — and then utilize — the many factors impacting population wellness.
How do we identify the biggest areas of risk? and what are driving costs? Which data is truly useful? and how do we get that data and properly implement it? These are questions whose answers continue to evolve as the paradigm shift around optimal healthcare delivery continues.
The good news: All of these objectives are better realized with intelligent spatial analysis. In the right hands (and harnessing the right tech), raw, aggregated data becomes enriched, highlighting the variables and determinants that tie directly to optimal outcomes.
This concept of meeting populations where they are — locally — generates useful insights in step with stakeholder need: driving down costs while improving health outcomes.