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| Section | Weight | Objectives |
|---|---|---|
| Risk Adjustment Models and Documentation Impact | 25% | - CMS-HCC model fundamentals and RAF scoring - Medicare Advantage payment structure and documentation requirements - Hierarchies, disease interactions, and compliant HCC reporting - RADV audit concepts and documentation compliance |
| CDI Program Concepts, Queries, and Quality | 20% | - Regulatory compliance: HIPAA, OIG work plan, confidentiality - CDI metrics: query rates, capture rates, quality scores, denial prevention - Compliant query development: principles, structure, and non-leading language - Problem list maintenance, provider education, and program operations |
| Clinical Conditions, Pathophysiology, and Chart Review | 20% | - Disease processes across all body systems and documentation relevance - Differentiating acute vs chronic, active vs historical conditions - Clinical indicators, diagnostic tests, medications, and documentation triggers |
| Healthcare Regulations, Reimbursement, and Documentation Requirements | 35% | - Outpatient Prospective Payment System (OPPS) and Ambulatory Payment Classifications (APCs) - Official Guidelines for Coding and Reporting (OCG) for ICD-10-CM
- Alternative payment models: ACO, MSSP, MACRA/MIPS |
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NEW QUESTION # 43
Documentation from which of the following facility settings contributes to the CMS-HCC risk score?
Answer: B
Explanation:
Under CMS-HCC risk adjustment (commonly applied to Medicare Advantage), qualifying diagnoses must come from acceptable encounter/claim sources and eligible provider types. Hospital-based outpatient services (including a hospital ambulatory clinic) are among the standard, acceptable settings where diagnoses documented, coded, and submitted on qualifying encounters may be used for risk adjustment-assuming they are supported, assessed/managed, and submitted per program requirements. In contrast, certain facility claim types do not typically contribute to CMS-HCC capture in the same way. Hospice care is generally treated as a carve-out/unique payment environment and is not relied upon as a routine source of risk-adjusting diagnosis capture for the member's ongoing RAF. Renal dialysis centers (ESRD facilities) likewise operate under specialized payment constructs and are not the typical outpatient setting used to drive CMS-HCC diagnosis capture for risk adjustment in standard CDI workflows. Freestanding ambulatory surgical centers also frequently fall outside the usual risk-adjustment-eligible encounter sources emphasized in outpatient CDI programs. Therefore, the hospital ambulatory clinic is the correct setting among these choices.
NEW QUESTION # 44
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: D
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 # 45
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: D
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 # 46
Which of the following concepts BEST reflects how risk adjustment is related to cost efficiency metrics?
Answer: D
Explanation:
Risk adjustment is used to make cost and efficiency comparisons fair by accounting for differences in patient severity and expected resource needs. In outpatient CDI, accurate documentation and coding of chronic and acute conditions (especially risk-adjusting diagnoses such as HCC-relevant conditions) directly influence the risk profile assigned to a patient population. That risk profile is then applied when evaluating utilization and cost measures-such as total cost of care, inpatient admissions, ED use, and other resource consumption-so that providers or groups caring for more complex patients are not inappropriately labeled as inefficient simply because their patients require more services. This aligns with option B: risk adjustment is applied to resource utilization measures. Option A is incorrect because E&M levels are a professional billing construct and are not the basis for risk score calculation. Option C is incorrect because physician time may affect E&M selection under certain rules, but it is not the mechanism for risk adjustment in cost efficiency analytics. Option D is incorrect because procedures/interventions describe services rendered, not the adjustment methodology itself.
NEW QUESTION # 47
The table below provides data indicating the use of Major Depressive Disorder (MDD) diagnosis code assignment for years 1 and 2 of an ambulatory CDI program. Based on the data and if the HCC value assigned to MDD was 0.299, which of the following should be inferred?
Answer: D
Explanation:
Year 2 shows a higher total volume of MDD diagnoses (185,090 vs. 155,501), but the key CDI signal is the shift in coding specificity: "MDD, specified" increases substantially (118,516 vs. 76,318), while "MDD, unspecified" decreases (66,574 vs. 79,193). In outpatient CDI terms, this pattern is consistent with improved documentation quality and code capture-providers are describing the condition with greater clinical detail (episode type, severity, remission status, recurrence, etc.), allowing assignment of more specific ICD codes. When an HCC value (0.299) is associated with MDD, improved capture of qualifying, specific MDD codes supports more accurate risk adjustment. That increases the accuracy of projected resource need and affects future cost benchmarking (and potentially quality/utilization comparisons) because the population's documented burden of illness is better represented. Therefore, the appropriate inference is increased patients plus increased "specified" use and decreased "unspecified," with an impact on future benchmarking.
NEW QUESTION # 48
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