Your Shortcut to Smarter Data

A branded, self-service Health Atlas replaces one-off data requests with public, always-current access to the story behind your community's numbers. Read more about it!

No blank slate, no IT project — here's what the first few weeks of switching from spreadsheets to Metopio actually involve. 

From qualitative theme-coding to first-draft narratives, here's exactly what Metopio's AI does for your Community Health Improvement Cycle — and what it deliberately won't touch!

From "which file is the real one" to board questions that need a week — here are 5 signs your community health work has outgrown spreadsheets (and what to do about it instead).  

A generic BI tool can visualize your data — it just doesn't come with the data, the documentation, or the automated Community Health Assessment workflow built in. 

ASTHO's Dr. Susan Kansagra and Metopio's Angie Grover break down how states are structuring Rural Health Transformation Program funding — and what your organization needs in place to be ready when investment opportunities open up. 

Every public health department has heard an AI pitch by now, and most have (rightly) learned to be a little skeptical of it. Generative AI is embedded in nearly every tool on the market, but "AI-powered" doesn't always mean useful, and it definitely doesn't always mean safe for a field that handles sensitive community and health data. 

It's worth asking a more specific question than "should we use AI?" The better question is: where, exactly, can AI save real time on the work your team already does — and where should it stay out of the way entirely? 

In a recent webinar, Metopio’s VP of Data, Heather Blonsky, and Data Analyst Jaelyn Braswell, who work directly with health departments and hospitals on their assessments, dug into three of the most commonly shared Community Health Improvement cycle priorities: food insecurity, access to care, and maternal health. Here's what they covered. 

If your health department runs a Community Health Assessment, you already know the drill: months of pulling data from scattered sources, reconciling formats that don't match, building charts by hand, and writing narrative sections that summarize numbers you spent weeks assembling. Here's what automation actually looks like, and how to tell if your department is ready for it. 

By the time most teams finish a Community Health Assessment, they're not short on problems — they're drowning in them. The hard part isn't the data collection. It's deciding what to do with it. Here's a scoring framework for prioritizing community health needs in a way that's defensible to your board, meaningful to your community, and actually actionable.