Define the evaluation
An evaluation design and repeatable scoring process, with clear definitions of the reference labels and metrics.
For CFOs and revenue-cycle leaders
Revenue Cycle & Coding Analytics
Understand coding performance, denial patterns, and the financial implications of model changes. We work with audited cases and claims to assess accuracy, investigate errors, and identify where process or technology changes may help.
Book a revenue-cycle reviewWhere we can help
Coding evaluation
Compare model configurations against reviewed cases, examine errors by specialty and code, and document the limits of each comparison.
Denial analysis
Organize payer explanations and claims history into patterns your team can investigate. Review recurring causes and the records behind each category.
Financial assessment
Estimate the value of coding and workflow changes using encounter volume, payer mix, and reimbursement assumptions.
Connect coding performance to financial impact
Coding evaluation
Evaluation designDefined reference labels
Model & promptTerminologyRules
Repeatable scoringShared definitions & metrics
UndercodingOvercoding
Claims-based estimatesFinancial implicationsAssumptions + sensitivity analysis
Examine the errors
Analysis of overcoding, undercoding, and recurring error patterns.
Compare approaches
Comparisons of model, prompt, terminology, and rules-based approaches where relevant.
Model the economics
Claims-based financial estimates with assumptions and sensitivity analysis.
Recurring clinical AI evaluation
For a clinical-documentation technology company, we developed recurring coding-performance analysis using audited cases and claims, assessed model changes and financial value across specialties, and tested a rules-based alternative for parts of code selection. The evaluation gave the team a repeatable way to compare configurations and examine the errors that mattered to practices.
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What do you need to understand about coding or denials?
Bring a performance question, a recurring error pattern, or a proposed model change.