WHO WE SERVE
WHY IT MATTERS
Closing risk gaps through correct risk coding has enormous quality of care and economic implications.
Current market dynamics are heightening this issue as they create downward pressure on risk scores and upward pressure on actual risk. Recognizing the importance of this issue, most healthcare organizations have put in place operational and analytical systems to identify and close risk gaps, but most methods leave large gaps unaddressed.
Robust National Models
Our pre-built national models derived from millions of patients can score the likelihood of any diagnostic condition based on a clinical record at a point in time.
Finally, Curia builds analogous models from our customer’s clinical data and uses Bayesian methods to create optimized predictions per patient.
Automated Economic Analysis
In addition to predicting the likelihood of an uncoded condition, Curia automatically surfaces the reimbursement impact of appropriate coding adjustments.
Applying Risk And Impact
As coding recommendations are delivered to clinicians, the Curia ‘impact’ engine intelligently determines how to optimize their delivery over time.
Clear Box, Not Black Box
Coding recommendations are bundled with interpretable justifications and data provenance, building trust and confidence.
Not Just Another Dashboard
Outputs from the Curia software are fed into existing operational processes and tools, driving adoption and minimizing change management.
Rich Exogenous Information
The Curia Platform augments our customer’s clinical data with rich SDOH data and the most comprehensive graph network of all clinicians in the United States.
Advanced Data Vectorization
Curia has pioneered new methods to compress massive healthcare data sets while minimizing information loss -- a key for finding signal from noise.
We Take Data Security Seriously
Along with operating according to SOC2 security standards, Curia is hosted in a secure and fully HIPAA-compliant cloud environment.
SECURITY AND COMPLIANCE
Customers routinely see that over 30% of their patient / member populations have high-probability uncoded diagnoses.
IMPROVED QUALITY OF
With more precise coding, these patients and members can be placed on more appropriate and impactful care pathways.
INCREMENTAL LIFT IN
Reimbursement levels are right-sized to reflect a more accurate expected cost of care, creating financial benefit.