What is 'data validation' in medical billing?

• A. Verifying patient demographics, payer information, dates of service, codes, and charges to ensure accuracy before claims submission.
• B. Creating new patient charts from scratch.
• C. Replacing patient data with random values.
• D. Ignoring payer information.

Answer: (A)

Data validation in medical billing means checking and confirming that every data element in a claim is accurate and complete before submission. This includes patient demographics, payer information, dates of service, procedure and diagnostic codes, modifiers, and the charges or units. The goal is to catch and correct errors early, ensure codes and charges align with payer rules, and reduce claim denials or rejections. Validation tools and routine checks help verify that required fields are present, dates of service are sensible, codes are valid and consistent, and the charge matches the service. This keeps claims clean and supports proper reimbursement.

Creating new patient charts from scratch is chart creation, not validation. Replacing patient data with random values would corrupt data, not validate it. Ignoring payer information would lead to incorrect submissions and is the opposite of validating data.