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NEW QUESTION # 108
An ACO with 50,000 beneficiaries just completed its first year of a 3-year contract where the final scores were quality 90%; expected costs were $50 million, and actual costs were $52 million. The shared savings rate determined by CMS was 50%. Which of the following is MOST accurate and applies for the ACO?
Answer: A
Explanation:
In MSSP-style ACO financial reconciliation, performance is evaluated against a benchmark (expected costs). Here, the ACO's actual spending ($52M) exceeds the expected benchmark ($50M) by $2M, meaning the ACO generated shared losses rather than savings. In risk-bearing ACO arrangements, when costs exceed the benchmark and the ACO is in a track that includes downside risk, the organization may owe CMS a portion of those losses. The shared savings/loss rate (50% in this scenario) represents the percentage of the difference from the benchmark that the ACO shares with CMS, assuming applicable thresholds are met. Thus, instead of receiving a shared savings payment, the ACO would be accountable to pay back a share of the excess spending (conceptually 50% of the $2M overage, if all model requirements are satisfied). Option D is not correct because reconciliation is typically performed on a performance-year basis rather than only at the end of the full agreement period, and option C is not how MSSP eligibility works.
NEW QUESTION # 109
Upon review of payer data, a decrease in RAF scores for the organization is noted. After reviewing internal metrics, a CDI specialist notes an increase in the volume of HCC queries across the organization, with accurate coding confirmed. Which of the following is the MOST plausible explanation for these findings?
Answer: C
Explanation:
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.
NEW QUESTION # 110
A morbidly obese patient with a BMI of 45 who is reliant on CPAP at night is likely to have which of the following conditions?
Answer: C
Explanation:
Nightly reliance on CPAP in a morbidly obese patient most strongly points to sleep-disordered breathing, and in the context of severe obesity (BMI 45), it raises concern for obesity hypoventilation syndrome (OHS), which is characterized by alveolar hypoventilation (chronic hypoventilation with hypercapnia) that is not fully explained by other pulmonary or neuromuscular causes. While CPAP is commonly prescribed for obstructive sleep apnea, severe obesity increases the likelihood of associated hypoventilation physiology; in outpatient CDI review, this becomes a documentation opportunity to ensure the provider specifies whether the patient has OSA alone versus OSA with OHS/alveolar hypoventilation, because the latter reflects higher clinical complexity and requires clear monitoring/management (e.g., ABGs or bicarbonate trends, symptoms of hypoventilation, adherence, need for BiPAP). Heart failure and pulmonary edema are not implied by CPAP use, and essential hypertension is common in obesity but not the condition most specifically linked to CPAP dependence. Therefore, alveolar hypoventilation is the best supported answer.
NEW QUESTION # 111
A 67-year-old male patient has been seen by a PCP multiple times this year. Diagnoses reported are diabetes with nephropathy with an HCC weight of 0.166; diabetes with retinopathy with an HCC weight of 0.166; atrial fibrillation with an HCC weight of 0.299, and a demographic risk factor weight of 0.332. Which of the following is this patient's final RAF score for these diagnoses?
Answer: B
Explanation:
The patient's RAF is calculated by adding the applicable HCC weights plus the demographic factor, but only after applying the HCC model's hierarchy rules. In outpatient risk adjustment education (as emphasized in ACDIS-based training), certain condition groups are hierarchical-meaning multiple related diagnoses in the same hierarchy do not "stack." Instead, only the highest-ranked HCC in that disease group contributes to the RAF. Here, "diabetes with nephropathy" and "diabetes with retinopathy" both carry the same HCC weight (0.166) and fall within the diabetes complication hierarchy, so they do not add together; only one 0.166 value is counted. Atrial fibrillation contributes separately (0.299), and the demographic risk factor contributes (0.332). Therefore, the final RAF is 0.166 + 0.299 + 0.332 = 0.797. This illustrates why outpatient CDI focuses on documenting all clinically supported conditions for care accuracy, while understanding that some related diagnoses won't increase RAF beyond the highest applicable HCC in that hierarchy.
NEW QUESTION # 112
A patient presents with pulmonary rales, pulmonary edema found on chest x-ray, and bilateral ankle edema. Which of the following conditions will the provider MOST likely evaluate further?
Answer: C
Explanation:
Pulmonary rales (crackles), radiographic pulmonary edema, and peripheral (ankle) edema together strongly suggest a systemic volume overload state, most classically due to heart failure. In ambulatory CDI chart review, these findings function as clinical indicators that drive the provider's diagnostic reasoning and typically prompt further evaluation of heart failure type and status (e.g., acute vs chronic, systolic vs diastolic, preserved vs reduced EF), along with assessment of severity and potential decompensation. Providers commonly correlate these indicators with additional data such as weight gain trends, BNP, echocardiogram findings, medication adherence (diuretics), and signs of congestion to determine whether the patient is experiencing a heart failure exacerbation requiring treatment adjustments. While pleural effusion may coexist and pneumonia can cause rales, the presence of pulmonary edema on chest x-ray plus bilateral ankle edema points more directly to a cardiac/volume etiology than an isolated infectious process. Pulmonary hypertension may contribute to dyspnea and edema but does not most directly explain pulmonary edema on imaging in the same way. Therefore, heart failure is the most likely condition to be evaluated further.
NEW QUESTION # 113
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