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91. Frage
A CDI specialist reviews the record of a patient with a history of CHF and DM Type 2 who was seen in the clinic earlier that day for possible bronchitis, fever, congestion, dyspnea, and cough. A chest x-ray indicated LLL infiltrate, and a nebulizer treatment was administered while in the office. Levofloxacin and albuterol were prescribed. Which of the following is MOST appropriate to query?
Antwort: D
Begründung:
The documented clinical picture and treatment plan better align with pneumonia than uncomplicated bronchitis, creating a clear documentation/coding consistency opportunity. A LLL infiltrate on chest x-ray is a classic clinical indicator for pneumonia, and prescribing levofloxacin supports treatment of a likely bacterial lower respiratory infection rather than routine viral bronchitis. The patient also has fever, dyspnea, cough, and required an in-office nebulizer treatment, all of which can accompany pneumonia and increase clinical significance. In outpatient CDI practice, the most appropriate query is the one that clarifies the provider's definitive diagnosis when objective findings and management suggest a more specific condition than what is stated (e.g., "possible bronchitis"). Querying for diabetic complications or heart failure specificity is not as directly supported by the encounter's indicators and treatment actions provided, and "acuity of bronchitis" is secondary if the true condition is pneumonia. Clarifying whether pneumonia is present ensures accurate reporting, medical necessity support, and appropriate risk/quality capture.
92. Frage
Clinic documentation states: "Follow-up for post-induction chemotherapy for metastatic uterine cancer." To BEST identify the conditions being monitored and treated, a CDI specialist should
Antwort: B
Begründung:
When documentation states "metastatic uterine cancer," the most important missing element for complete, accurate outpatient coding is where the cancer has metastasized (the secondary site[s]). In ambulatory CDI, identifying secondary sites best clarifies the full scope of disease being monitored and treated because metastatic disease coding relies on documenting both the primary malignancy and the specific metastatic location(s) (e.g., lung, liver, bone, peritoneum, lymph nodes). This supports correct severity representation, risk capture, treatment intent, and medical necessity for ongoing chemotherapy follow-up. While tumor morphology can be clinically relevant, it is usually established earlier in the diagnostic pathway and does not, by itself, define current metastatic burden. Likewise, reviewing labs or MRI results may provide supportive indicators, but they do not replace provider documentation of the confirmed metastatic sites being managed. A compliant query focused on secondary sites prompts the provider to document the current metastatic disease status (active, responding, progressing) and specific locations, which most directly identifies the conditions under treatment.
93. Frage
Provider documentation states: "Patient is here for follow-up for multiple chronic conditions, including COPD, HTN, DM, and alcohol abuse. She admits to drinking more than she has in the past, starting in the early morning and consumes at least a pint a day. Her BP today is elevated at 165/89. Discussed medications and diet. As she continues to be dependent on alcohol, several treatment options were offered. She stated she would think about it." Which of the following groups of diagnoses is supported by the clinical indicators described?
Antwort: D
Begründung:
The clinical indicators strongly support alcohol dependence, not merely alcohol "use" or "abuse." The patient reports heavy, compulsive intake (early-morning drinking and at least a pint daily), and the provider explicitly documents that she "continues to be dependent on alcohol" and discusses treatment options-this aligns with a dependence-level disorder being addressed. Hypertension is also supported because the BP is elevated (165/89) and the provider documents management activity (medications and diet counseling), meeting encounter relevance/reportability expectations. Diabetes is listed among chronic conditions, but the scenario provides no indicators of complications (no neuropathy, CKD, ulcers, retinopathy, etc.), so the supported choice is DM type 2 without complications rather than "with complications." Although COPD is listed in the "including" statement, no COPD-specific assessment/monitoring/treatment is described in the indicators provided, so the best-supported grouped option focuses on the conditions with clear supporting indicators and management in the note: DM2 without complications, HTN, and alcohol dependence.
94. Frage
Which of the following health record elements impacts HHS-HCC risk scores?
Antwort: D
Begründung:
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.
95. Frage
Which of the following is true of the RAF metric?
Antwort: A
Begründung:
RAF (Risk Adjustment Factor) is a population risk stratification metric used in risk adjustment models to estimate expected healthcare resource utilization for an individual beneficiary relative to an average patient. In outpatient CDI, RAF is driven by a combination of demographic elements (such as age/sex and eligibility/status factors) and-critically-documented, coded conditions that map to risk categories (e.g., HCCs). The intent is not to "predict the provider's reimbursement" for the current year in a direct, visit-by-visit sense; rather, RAF contributes to actuarial projections of expected cost and supports payment benchmarking and budget setting in value-based arrangements (e.g., Medicare Advantage and certain shared savings models). RAF is also not based only on demographics (eliminating option B) and it does not determine reimbursement for each individual office visit (eliminating option D). ACDIS outpatient CDI emphasizes that accurate, specific documentation and coding of active, clinically supported conditions improves the accuracy of RAF, which in turn better aligns projected costs and comparisons across attributed populations.
96. Frage
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