Xeligence for Healthcare

Healthcare insurers and providers face increasing challenges in customer attrition and shrinking profit margins, whilst still maintaining best of breed customer service. Escalating costs due to fraud and inefficient operations also erode the profits of healthcare companies globally.

Improving long term health by reducing future interventions is just one of the many ways insurers and healthcare providers are able to balance customers needs whilst creating revenue growth and loyalty.

In order to do this healthcare providers must proactively manage their customers health though predicting an individuals likelihood for future procedures and preventing future long term procedures.

Healthcare providers need a proactive solution that can predict and “operationalize” product and service offers for customers. The same proactive solution must be able to implement claim fraud detection, churn detection, and patient claimant deterioration and many other applications, easily and swiftly.

Xeligence provides all the necessary pieces in aiding healthcare providers to:

  • Drive revenue growth by making targeted cross and up sell offers
  • Predicting patient\claimant deterioration
  • Provide consistency and more targeted marketing communications across all channels
  • And much more…

Have a look at our Product Sheet for Healthcare or Contact Us to learn more.

Want to Know More?
  • Why Xeligence?

      Compresses model building and deployment time from weeks to hours

      Has self learning and self training models – optimises, self manages, and recalibrates models with the arrival of new data and attributes

      The solution is “Delivered integrated” not just “Can be” integrated

  • Xeligence Features

    • Cross Functional Analytical Platform & Industry Solution Sets
    • Rapidly Integrates with Enterprise Applications
    • Deployable as a Real –Time Recommendation Engine
    • Self Training Data Mining Models: Eliminates the need for Statistician Assistance
    • Compresses the time and cost to build predictive models

  • Resources

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    Industries
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