• bluecross
  • bupa
  • redcross
  • nyc
  • gilead
  • bayer

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.

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Healthcare Factor Analysis
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Medical Site Selection
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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.

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Medical Site Selection

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.

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Disease Surveillance & Prediction
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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

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