175Denial Code (CARC)Active
Effective 06/30/2005 · Updated 09/30/2007

CO 175 Denial Code - Fix Incomplete Prescription Issues

Code 175 indicates that the prescription information submitted with the claim is incomplete. This means the payer found missing details in the prescription, such as the prescribing provider's information or required dosage instructions.

Who Pays: Group Code Liability

Typically, code 175 is marked with the CO group code, meaning the provider is expected to write off the amount and it is not billable to the patient. However, verify the group code on the remittance to ensure correct liability.

Why Claims Get Code 175

  • Missing prescribing provider's NPI or DEA number.
  • Incomplete dosage instructions on the prescription.
  • Omitted patient information such as date of birth or insurance ID.
  • Prescription missing required prior authorization details.
  • Incorrect or incomplete drug name or quantity.

How to Fix & Resubmit

  1. Review the claim to identify missing prescription details, such as the prescribing provider's information or dosage instructions.
  2. Verify that all required patient information, including insurance ID and date of birth, is present and accurate.
  3. Check if any required prior authorization details are missing or incomplete.
  4. Correct the claim with the complete prescription details and any other missing information.
  5. Resubmit the corrected claim to the payer for processing.

Corrected Claim or Appeal?

For code 175, submitting a corrected claim is typically the right approach once the missing prescription details are provided. An appeal is unnecessary if the issue is resolved with a correction.

Preventing Future 175 Denials

  • Ensure complete and accurate prescription information is included in the claim submission.
  • Implement a checklist for verifying all required prescription and patient details before submission.
  • Train staff to double-check for any necessary prior authorization before claim submission.
  • Use electronic prescription systems that automatically capture all required details to minimize errors.