Data Quality Verification Sample Clauses
The Data Quality Verification clause establishes the right and process for one party to assess and confirm the accuracy, completeness, and reliability of data provided under an agreement. Typically, this clause outlines the standards or methods for verification, such as periodic audits, sampling, or the use of third-party evaluators, and may specify the timeframe and responsibilities for correcting any identified deficiencies. Its core practical function is to ensure that all parties can rely on the integrity of shared data, thereby reducing the risk of errors, disputes, or compliance issues arising from inaccurate or incomplete information.
Data Quality Verification. 9.5.1. The Contractor shall maintain a health information system that complies with the requirements of 42 CFR § 438.242 and provides the information necessary to meet the Contractor’s obligations under this Agreement. The Contractor shall have in place mechanisms to verify the health information is complete and accurate. Mechanisms shall include the following:
9.5.1.1. Verifying the accuracy by review of error reports and/or error resolution reports and timeliness as defined in this Agreement; and screening the data for completeness, logic, and consistency of the data.
9.5.1.2. Participation in Encounter Data Validation studies conducted by Great Rivers.
Data Quality Verification. 8.6.1. The Contractor shall maintain a health information system that complies with the requirements of 42 CFR § 438.242 and provides the information necessary to meet the Contractor’s obligations under this Agreement. The Contractor shall have in place mechanisms to verify the health information is complete, accurate, and timely. Mechanisms shall include verifying the accuracy by review of error reports and/or error resolution reports and timeliness as defined in this Agreement; and screening the data for completeness, logic and consistency of the data.