
Healthcare Analytics
A patient’s location directly influences their health. Whether it’s disease prevention or clinic site selection, considering spatial in your healthcare analytics can have a drastic impact.


Healthcare Factor Analysis
Gaining spatial context on patients allows public & private healthcare systems to optimize resource allocation & provide superior services. Spatial analysis allows your organization to identify which location-factors may be the root cause of certain health problems, allowing you to improve outreach, services & intervention with a more detailed picture of healthcare access.
Medical Site Selection
Whether it’s hospitals, primary care, residential homes or dental clinics, selecting optimal locations to serve citizens & clients is fundamental to ensure quality service & profitability. By using spatial analysis with new data streams to enrich Open Data & your existing CRM data, you will be able to monitor, consolidate & expand effectively - avoiding expensive site selection mistakes.
Disease Surveillance & Prediction
Using spatial data to model epidemics, pandemics & behavior in response to outbreaks is a key part of epidemiology. By combining health data with other data streams such as human mobility, financial data & POIs, scientists & governments can inform policy more effectively using spatial modeling & visualization to drive decisions around social distancing, testing & emergency response.
WHAT OUR CLIENTS SAY
“Through CARTO we were able to gain insights on where to open new healthcare centers, generating market analyses that ensure profitability of potential sites & monitor performance. The attractive, easy-to-use interfaces allow a range of business units (marketing, sales, operations) to get value out of location data.”
Juan Jose Casado
,
Data & Analytics Corporate Director at Sanitas

“Through CARTO we were able to gain insights on where to open new healthcare centers, generating market analyses that ensure profitability of potential sites & monitor performance. The attractive, easy-to-use interfaces allow a range of business units (marketing, sales, operations) to get value out of location data.”
Juan Jose Casado
,
Data & Analytics Corporate Director at Sanitas
Related content

Mengdie Zhuang from UCL presents a project to detect infectious disease outbreaks earlier.

Esteban Moro from MIT presents the Atlas of Inequality which shows inequality in cities around the US.

Francoise Pickart, Head of Risk Analytics, tells us how she analyzes multiple datasets relating to health across the city, providing a faster & more intuitive alternative to traditional tools.
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