When it comes to human health, we are so much more than clinical and financial data alone — literally. Though it absorbs nearly 100% of the cost, clinical care only accounts for roughly 20% of U.S. health outcomes.
The real-world behaviors we exhibit, the socio-economic interactions we all experience, the physical environments we inhabit — these are the factors that constitute that remaining 80%, the determinants responsible for shaping the quality and length of our lives.
Our view at Spatially Health: A truly comprehensive health assessment requires 360-degree visualization. Attempting to tell the local story of our well-being by emphasizing only part of the available information is a formula that simply doesn’t add up. And it’s the reason why we’re building new data models for healthcare applications.
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 is driving costs? are not new concepts, but which data are truly useful? and how do we get that data and properly implement it? 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 community members where they are — locally — generates useful insights in step with stakeholder need: driving down costs while improving health outcomes.
Location-based visualizations are unlocking transformative healthcare. Stakeholders employing spatial analytics are positioning themselves to optimize both access and delivery, and best evaluate and mitigate risk.
At Spatially Health, we’re building data models that reveal the complex connections driving health at the local level; in doing so, we’re furnishing our partners with knowledge that scales both vertically within markets (optimal service/provider relationships, highlighting localized risks and costs, etc.), and dynamically across the health spectrum (expansion opportunities in different locations and/or services, new business lines, etc.).
Connect with us to learn more about how spatial analysis drives innovative solutions in value-based healthcare.
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