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>> ACDIS CCDS-O Übungsmaterialien <<
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133. Frage
Which of the following conditions or findings supports a diagnosis of diabetes?
Antwort: B
Begründung:
In outpatient clinical documentation and chart review, diabetes can be supported by recognized diagnostic thresholds. An HbA1c value reflects average blood glucose over approximately the prior 2-3 months and is commonly used to diagnose and monitor diabetes. An HbA1c ≥ 6.5% (when confirmed per clinical practice standards and interpreted in the appropriate clinical context) supports a diagnosis of diabetes; therefore an HbA1c of 7.0% clearly meets the threshold and supports diabetes. By comparison, a 2-hour OGTT value of 90 mg/dL is normal and does not support diabetes (diabetes is typically supported when the 2-hour value is ≥ 200 mg/dL). Hypoglycemia is low blood glucose and is not diagnostic of diabetes; it may occur in diabetics due to treatment but can also occur in non-diabetics for many reasons. A fasting glucose of 100 mg/dL is at most borderline/prediabetes range and does not meet diagnostic criteria for diabetes (diabetes is supported at ≥ 126 mg/dL).
134. Frage
Calculate the expected yearly cost for this patient based on the RAF score.
Antwort: A
Begründung:
In outpatient risk adjustment (commonly Medicare Advantage), the patient's predicted cost is derived from the Risk Adjustment Factor (RAF), which is the sum of component risk contributions. Here, the RAF is calculated by adding the HCC diagnoses score (0.166), disease interactions (0.112), and demographic score (0.330). That total equals 0.608. The PMPM (per-member-per-month) baseline cost is $800. To estimate the patient's expected monthly cost, multiply PMPM by RAF: $800 × 0.608 = $486.40 per month. The question asks for the expected yearly cost, so convert PMPM to annual: $486.40 × 12 = $5,836.80. ACDIS outpatient CDI teaching emphasizes that accurate documentation and compliant coding directly affect RAF through captured HCCs and interactions (when supported), which in turn drives expected resource needs and plan payment. Missing or unsupported diagnoses can understate RAF; vague documentation can prevent valid HCC capture.
135. Frage
A provider has been determined to be a high-cost provider after a total claims cost analysis. The provider's patient panel has an overall low HCC average score. Which of the following is the MOST likely explanation regarding the low HCC average score?
Antwort: C
Begründung:
In the CMS-HCC risk adjustment framework, the HCC average score reflects the coded burden of illness for the provider's attributed panel, driven by documented, reportable conditions that map to HCCs and qualifying demographic factors. If a provider appears "high cost" based on total claims but the panel's average HCC score is low, the most common CDI interpretation is documentation/coding under-capture: the clinical complexity driving utilization is not being fully documented and coded to HCC-relevant diagnoses. This creates a mismatch-actual resource use is high, but the recorded risk profile is artificially low-leading to unfavorable benchmarking because costs are compared against an expected spend that is too low for the true acuity. Option A would typically raise HCC scores, not lower them. Option C could explain both low HCC and low cost; it conflicts with the high-cost finding. Option D misunderstands HCC mechanics: "unspecified" does not reliably increase HCC capture and often reduces coding specificity/validity rather than improving risk adjustment. Therefore, incomplete capture of relevant diagnoses is the most likely driver.
136. Frage
ICD-10-CM code assignment can be supported by documentation from someone other than the patient's provider in which of the following circumstances?
Antwort: C
Begründung:
Outpatient ICD-10-CM guidance allows certain code elements to be based on documentation from clinicians other than the patient's diagnosing provider when those elements are considered objective, routinely assessed, and commonly documented by nursing or ancillary staff. A key example is pressure ulcer staging, which is frequently assessed and documented by wound care nurses and other qualified clinicians as part of routine skin/wound evaluation. Because the stage drives code specificity and is an observable clinical finding, coders may use non-provider documentation to assign the stage when it is clearly documented and not contradicted by the provider record. In contrast, items such as the type of obesity generally require provider diagnosis/clinical assessment rather than ancillary documentation alone. Similarly, while status conditions (like amputations or ostomies) may be observed, the coding guidelines do not broadly permit assigning these diagnoses solely from non-provider documentation without provider confirmation, unless the chart otherwise supports it. Therefore, among the choices, pressure ulcer stage is the appropriate circumstance where non-provider documentation can support ICD-10-CM assignment.
137. Frage
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?
Antwort: B
Begründung:
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.
138. Frage
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