From raw federal data to a CHNA draft in 5 minutes.

Welcome to Banana Analytics. Today, we'll walk through how to go from raw data to a comprehensive, actionable Community Health Needs Assessment in just a few minutes.

Let's start by defining our service area. While you can upload custom zip codes, our platform also allows you to simply search for a hospital by name or ID. We'll select AdventHealth Orlando, the first health system in our list. The platform automatically identifies the surrounding counties that make up its primary service area based on CMS fee-for-service data. With a single click, we build our cohort. Instantly, Banana Analytics calculates weighted scores covering disease burden, environmental risk, and social determinants of health across the cohort region.

We'll save this cohort to unlock deeper geographic analysis in our platform and then we'll head over to the Geographic Explorer where we'll generate our summary and explore the canvas editor.

By having our saved cohort automatically filtered, we get a highly detailed visual of the Community Health Risk across all five counties. This is exactly the kind of visual evidence we want in our final report. We'll capture this map and pin it directly to a new Canvas workspace.

Now for the heavy lifting. Our counties are already selected as part of this cohort so now we need to simply click Generate AI Summary. We'll choose the Community Health Needs Assessment preset, or the appropriate style template depending on your role, and hit generate. In the background, the platform is synthesizing millions of data points into a cohesive, localized narrative. Once our summary is ready in the inbox, we can review the generated PDF to see our baseline findings.

Now that our summary is complete, we have a great starting point. Let's take a quick look at the PDF version. From here, it's easy to download high-quality, professional reports complete with beautiful custom charts. Next, we'll learn how to import this summary directly into the Canvas to customize it even further.

Welcome to the Canvas. This is your dynamic editing workspace. On the center of the screen, you have your document editor. On the left, you'll see your saved sources, including charts and the map we pinned earlier. And on the right of the screen you'll find your powerful AI assistant which has access to all the canvas context plus all the Banana Analytics platform data in a retrieval-augmented generation patterned system. With a simple click, we can insert that map right into the executive summary to provide immediate visual context for our readers.

As we review the generated text, we might see a key finding about elevated mental distress across the cohort. Let's ask our built-in AI Assistant to help us draft actionable strategies to address this specific need. We'll ask the assistant to draft three concrete ways to tackle this cohort-wide mental health challenge, tailored to fit right into this section of our document.

The assistant understands the context of our report and provides three targeted strategies: telehealth expansion, behavioral health integration in primary care, and community health worker programs. We can easily copy this generated text, paste it into our document, and format it with headers to match our exact style.

Once everything looks perfect, we simply export the Canvas. And just like that, we have a polished, professional, data-driven health assessment ready for stakeholders. Thanks for watching, and welcome to the future of community and environmental health data intelligence.