Using Data to Stop Errors Before They Happen

  • Claim denials are costly but predictable, mostly caused by repeat data, coding, and payer-rule errors.
  • Predictive denial tools flag risky claims before submission using past data and payer patterns.
  • Systems score claims, auto-fix simple issues, and guide staff on complex corrections.
  • Benefits include fewer denials, faster payments, lower labor costs, and better compliance.
  • Start small with clean data, pilot by payer or clinic, and embed tools into daily workflows.
  • Track success using denial rate, first-pass acceptance, days in A/R, and revenue recovered.

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