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It's tough out there

You’ve probably read the same stats we have, which have limited the healthcare sector’s adoption of valuable AI applications.

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C-SUITE LEADERS LACK CONFIDENCE IN DATA QUALITY

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OF AI PROJECTS DON'T DELIVER RETURN ON INVESTMENT

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OF BUSINESSES SUCCESSFULLY EMBED AI PROJECTS

A Different Kind of AI Experience

Curia’s technology approach and engagement model reduce the frictions that so often derail well-intentioned AI programs.

A NEW APPROACH IS POSSIBLE WITH CURIA

Begin with a Targeted Pilot

We always start with a pilot, which quantifies value and also ensures the platform can be used effectively in our customer’s environment.

Take Data 'As Is'

Other than de-identifying clinical data, Curia imposes zero data transformation requirements on our customers, instead taking data in its existing form and manipulating it for analysis within our secure HIPAA-compliant cloud environment.

Limit IT Needs

Data transfer is initially handled in a secure yet simple fashion such as SFTP. If and as value is proven out and usage expands, we begin to automate the data hand-off process to achieve further efficiencies.

Minimize Change to Operations

The outputs from the Curia platform can be exported for immediate use or securely connected to our customer’s operational tools. Our philosophy is to improve decision-making while minimally disrupting existing processes.

Embed into Business Process

For any AI initiative to be successful, it must become part of normal course-of-business activity rather than a peripheral science project. Curia’s solution experts help our customers embed this analytical capability into their workflows to drive on-the-ground change.

Measure Results, not What-Ifs

The missing piece for most AI programs is systematic value measurement. Curia has designed our software and engagement model such that our customers can determine in concrete terms whether the stream of decisions guided by our solution drives incremental benefit above and beyond current approaches. It’s that simple.

Interested in Curia's practical approach to AI?

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