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NEW QUESTION # 73
Which of the following is a provider benefit of a prospective query?
Answer: A
Explanation:
A prospective query is initiated early enough (before or during the visit workflow) so the provider can evaluate, assess, and document the condition in real time while the patient is present. This is a major provider benefit because it supports better clinical accuracy and completeness: the clinician can ask targeted questions, perform relevant exam elements, review results, and determine whether the condition is present, active, being monitored, or ruled out-then document the final clinical impression and plan. From an ACDIS outpatient CDI perspective, prospective querying improves efficiency and reduces retrospective "chart-chasing," late addenda, and documentation gaps that occur when clarification is requested after the encounter is closed. Importantly, prospective queries must remain non-leading and cannot direct the provider to a particular diagnosis (eliminating option A). They also cannot "guarantee" risk-adjusted capture because the diagnosis must be clinically supported and addressed (eliminating option B). Defining the purpose of the encounter is driven by the clinical reason for visit, not by CDI (eliminating option D).
NEW QUESTION # 74
Which of the following conclusions can be drawn from the impact of a CDI program on Clinic A using the table below?
Answer: D
Explanation:
The only conclusion that is directly supported by the table is that Clinic A's percent RAF captured is higher in every month of 2023 compared with the corresponding month in 2022. The monthly values rise year-over-year (e.g., January 21% vs 17%, February 33% vs 25%, and continuing through December 84% vs 76%), showing a consistent improvement pattern across the entire calendar year. In outpatient CDI and risk adjustment work, "RAF capture" is commonly used as a performance indicator reflecting how completely documented and coded risk-adjusting conditions (e.g., HCC-supported diagnoses) are being captured within the measurement period. However, the table does not prove why the improvement occurred. It cannot confirm provider engagement (A) without workflow/participation data, cannot compare to other clinics (B) because no other clinic data are shown, and cannot establish that the population was sicker (C) because RAF capture measures documentation/coding completeness relative to opportunity, not inherent patient acuity. Therefore, D is the verified conclusion.
NEW QUESTION # 75
An African American male enrolled in Medicaid has not been taking his blood pressure medication. Which of the following factors impacts this beneficiary's risk score?
Answer: D
Explanation:
Medicaid risk adjustment models generally calculate risk using two major categories of inputs: demographics and diagnosis data. Demographic factors commonly include gender and indicators tied to Medicaid status/eligibility (for example, eligibility category, dual status, disability-related eligibility, or other program qualifiers depending on the state/model). These demographic elements adjust expected cost and are foundational to the risk score even before considering diagnoses. By contrast, race is not a standard input for calculating Medicaid risk scores in typical risk adjustment methodologies, so options that include race are not supported. Likewise, "patient noncompliance" is primarily a clinical and quality-of-care issue and may affect treatment outcomes, but it is not itself a standard risk-score driver unless it is documented as a reportable, supported diagnosis that the specific model recognizes (and most models don't directly risk-adjust for nonadherence codes). Therefore, among the options given, Medicaid status and gender are the most clearly valid factors that impact the beneficiary's risk score.
NEW QUESTION # 76
A 62-year-old female with history of HTN, CAD, chronic cough and obesity is seen by her PCP. Which of the following treatment plans may result in a query?
Answer: C
Explanation:
In outpatient CDI practice, a common reason to query is a mismatch between what is being evaluated/treated and what is explicitly documented as an active condition for the encounter. A diagnostic chest x-ray aligns with the already-documented symptom (chronic cough), and a nutrition specialist referral aligns with an established diagnosis (obesity); neither inherently suggests an undocumented condition. Prescribing captopril aligns with documented HTN management, so it generally would not create documentation ambiguity requiring clarification (even though ACE inhibitors can be associated with cough, the plan alone does not establish a new reportable diagnosis). In contrast, ordering an HbA1c often signals assessment for diabetes, impaired glucose regulation, or monitoring of known diabetes. Because diabetes is not listed in the history provided, the HbA1c order may prompt the CDI specialist to query whether the provider is evaluating a suspected or existing glycemic disorder, whether there is a diagnosis such as prediabetes/diabetes being addressed, and to ensure the record clearly supports the medical necessity and any reportable condition.
NEW QUESTION # 77
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: C
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 # 78
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