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NEW QUESTION # 115
Which diagnosis and treatment plan may generate a query?
Answer: A
Explanation:
Outpatient CDI queries are most commonly triggered when there is a disconnect between the documented diagnosis and the documented treatment plan, suggesting that the clinician may be managing an additional condition that is not clearly stated, or that the diagnosis is inaccurately documented. Options A and B reflect typical, clinically aligned management: luteinizing hormone-releasing hormone therapy is a standard treatment pathway for prostate carcinoma, and amiodarone is a recognized antiarrhythmic used in atrial fibrillation management in appropriate circumstances. Option C can also be clinically consistent because parenteral nutrition is often used when malnutrition is present and the patient cannot meet nutritional needs enterally. Option D is the outlier: "immunotherapy" is not a standard treatment for severe major depressive disorder and more commonly aligns with oncology or certain immune-mediated diseases. This mismatch would appropriately prompt a query to clarify the actual condition being treated (e.g., an active malignancy) or to confirm whether "immunotherapy" refers to something else (such as allergy immunotherapy) and whether depression is the correct, visit-relevant diagnosis being addressed.
NEW QUESTION # 116
In a year over year comparison, the total number of patients with the more specific diagnosis of morbid obesity versus unspecified obesity increased from 10,000 patients to 11,000 patients. Which of the following is the hypothetical increase in yearly reserve for that patient population? (Morbid obesity HCC value = 0.186 and PMPM = $800.00)
Answer: A
Explanation:
This question applies the outpatient risk adjustment "reserve" concept: predicted cost is estimated by multiplying the member's risk factor contribution by a baseline per-member-per-month (PMPM) amount, then annualizing. The morbid obesity HCC factor is 0.186, and PMPM is $800. First compute the monthly cost impact: $800 × 0.186 = $148.80 per month per patient. Convert to yearly: $148.80 × 12 = $1,785.60 per patient per year. The year-over-year increase in patients with morbid obesity documentation is 11,000 - 10,000 = 1,000 additional patients. Multiply the annual per-patient impact by the additional patient count: $1,785.60 × 1,000 = $1,785,600. Outpatient CDI programs emphasize that improving documentation specificity (when clinically supported) can change whether an HCC is captured, which can affect RAF-based projections and resource planning. However, documentation must still be accurate, supported, and reflect conditions assessed/managed during the encounter.
NEW QUESTION # 117
When a CDI specialist identifies a discrepancy in documentation, the next step is to:
Answer: A
Explanation:
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.
NEW QUESTION # 118
Progress note states: "Recent EGD identified severe hyperplasia, without obstruction. Follow-up today for Barrett's. Complains of chest pain, difficulty swallowing, 15-pound weight loss in last 12 weeks. Diagnoses-significant weight loss, cachexia, anorexia, Barrett's esophagus, and chest pain. Plan short term tube feeding-consult home health and dietitian for management." Which of the following diagnoses will trigger an HCC assignment?
Answer: B
Explanation:
Within the CMS-HCC model, only certain diagnoses map to HCC categories that contribute to the RAF score. Among the listed options, cachexia is the diagnosis most likely to map to an HCC because it represents a serious systemic wasting condition associated with significant morbidity, higher expected resource use, and frequently coexists with advanced chronic disease. In contrast, Barrett's esophagus generally does not map to an HCC in CMS risk adjustment, and symptom-based diagnoses such as significant weight loss typically do not trigger HCC capture. Anorexia in general clinical usage often represents a symptom (loss of appetite) and, unless it is clearly documented as a qualifying malnutrition-related condition with appropriate specificity, it usually does not map to an HCC. The plan for tube feeding and dietitian involvement strengthens clinical relevance, but for risk adjustment the diagnosis must be one that maps to an HCC category-here, cachexia is the one that meets that criterion and would be the HCC-triggering diagnosis.
NEW QUESTION # 119
Which of the following health record elements impacts HHS-HCC risk scores?
Answer: B
Explanation:
The HHS-HCC risk adjustment model (used for ACA Marketplace plans) calculates a member's risk score using a combination of demographic factors and diagnosis codes that map to HHS-HCCs. Among the listed health record elements, gender is a core demographic variable used in the model's coefficients because expected healthcare utilization and cost patterns differ by age/sex groupings. In outpatient CDI terms, this is why accurate demographic data capture (including sex) matters alongside complete and specific condition reporting. CPT codes do not drive HHS-HCC risk scores; the model relies on diagnosis reporting (ICD-10-CM) rather than procedure codes for risk category assignment. Discharge status is an encounter/billing element relevant to certain facility payment and quality measures, but it is not a standard HHS-HCC risk score input. Ethnicity is not used as a direct risk adjustment variable in the HHS-HCC model for score calculation. Therefore, gender is the correct element that impacts HHS-HCC risk scores.
NEW QUESTION # 120
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