CCDS-O Exam Questions & Answers

When internal CDI metrics show increased HCC-related querying and coding accuracy is confirmed, you would typically expect payer RAF outputs to stabilize or improve---assuming the payer receives and processes the same diagnosis data. A payer-reported RAF decrease despite accurate internal capture most strongly suggests a break in the data flow between the organization and the payer. In outpatient risk adjustment, RAF depends on documented, supported diagnoses being correctly coded and then successfully transmitted on the encounter/claim to the payer's risk-adjustment ingestion process. If certain diagnoses are dropped (claim edits, interface mapping issues, encounter rejection, late submissions, or incomplete encounter files), the payer's dataset will under-represent HCCs and RAF will fall even though internal coding looks correct. CPT visibility (B) generally affects utilization/fee-for-service payment and analytics, not HCC-based RAF. Compliant queries (C) describe process quality but don't explain a payer-side RAF decline. A local ''model not updated'' (D) wouldn't reduce payer-calculated RAF if the payer is applying its own current model to received diagnoses.

The best query is chronic respiratory failure because home oxygen is a strong clinical indicator that often reflects an underlying chronic hypoxemic condition beyond uncomplicated COPD. Outpatient CDI guidance stresses that queries should be driven by present clinical indicators in the note and should seek clarification that impacts accurate diagnosis capture and ongoing care. Here, the provider documents COPD plus home oxygen and is arranging continued services (medication management and home health), which supports asking whether the patient has a reportable condition such as chronic respiratory failure with hypoxia (or COPD with chronic hypoxemia) and whether it is being monitored/managed. The other options lack support: acute blood loss anemia has no bleeding, hemodynamic instability, or acute findings; peripheral neuropathy is not assessed or described despite diabetes; and CKD has no labs, staging, history, or assessment. A compliant query would be non-leading and include the indicator (home O) and request the most accurate diagnosis and specificity/status.

The Relative Factors table shown is a demographic/eligibility-driven component of risk scoring for female beneficiaries, separating patients by setting/status (community vs institutional) and age band. ''Institutional'' beneficiaries carry higher expected cost because they typically require more resources and support than community patients. In the chart, the institutional relative factor for females age 70--74 is higher than the community factors shown for similar ages and higher than the 90--94 institutional factor displayed. Among the answer choices, option C is the only patient who matches an institutional setting (skilled nursing facility) in the 70--74 age band (72 years). Option D is also institutional, but the table's 90--94 institutional value is lower than the 70--74 institutional value in this specific chart. Options A and B are community patients, whose relative factors are lower than the institutional values shown. While the listed diagnoses are clinically important and may affect HCC-based risk, the question asks ''based on the above chart,'' so the highest risk is determined by the chart's demographic/setting factor---making the 72-year-old institutional patient the highest.

CDI staff do not alter the legal health record and should not ''code it as is'' when documentation is unclear, conflicting, or incomplete in a way that impacts accurate reporting. The compliant next step is to issue a provider query for clarification, ensuring the final record accurately reflects the provider's clinical judgment. ACDIS-guided outpatient CDI emphasizes that queries are a quality and compliance tool: they reconcile discrepancies (e.g., conflicting diagnoses across notes, missing linkage between symptoms and conditions, unclear acuity such as ''CHF'' without type/status, or ambiguous infection documentation). The query should be supported by clinical indicators from the chart and should ask the provider to document the clarified diagnosis/status in the record (progress note, addendum, or appropriate attestation). Escalation to compliance is reserved for patterns of nonresponse, suspected integrity concerns, or systemic issues, not routine discrepancies. The objective is to achieve a complete, consistent clinical story that supports coding, risk adjustment, quality reporting, and medical necessity---through provider clarification, not CDI edits.

In CMS-HCC risk adjustment, RAF impact comes from reporting qualifying chronic diseases (HCCs), not from nonspecific symptom-only documentation. ''Angina pectoris, unspecified'' is frequently a symptom-level statement and, by itself, often does not carry the same risk-adjustment weight as documenting and coding the underlying ischemic heart disease responsible for the angina (for example, coronary artery disease/atherosclerotic heart disease with angina). Ambulatory CDI practice emphasizes that when providers document only ''angina,'' coders may be limited to a symptom code, which can under-represent the patient's true disease burden in the HCC model. This makes angina an excellent target for provider education: clarify whether the angina is due to CAD, whether CAD is present and being managed, and whether there are related manifestations (e.g., unstable angina, prior MI history, status post CABG/stent) that support more complete, clinically accurate reporting. By improving documentation linkage from symptom (angina) to the definitive chronic condition (CAD with angina), the provider can more reliably capture an HCC-relevant diagnosis and positively influence RAF accuracy.