What type of information does detail-level data identify?

Detail-level data is particularly focused on identifying specific information about the beneficiary. This type of data typically captures and organizes various elements concerning the individual receiving healthcare services, such as demographic details, health status, and the treatments or services they received. By emphasizing detail-level data, healthcare analysts and coders can ensure accurate risk adjustment, which is critical for determining appropriate reimbursement rates and improving patient care outcomes.

In contrast, errors in submission would involve issues related to data accuracy or completeness rather than beneficiary specifics. Submitters refer to entities or individuals that provide data, focusing on the source of the information rather than the characteristics of the beneficiaries themselves. Lastly, audit results pertain to the findings from reviews of submitted data, which assess compliance and accuracy but do not specifically pinpoint beneficiary information. Therefore, the focus on the beneficiary in detail-level data is what makes it essential for improving healthcare delivery and financial management in risk adjustment frameworks.