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| Certification Vendor: | ACDIS |
|---|---|
| Exam Name: | Certified Clinical Documentation Specialist-Outpatient |
| Exam Number: | CCDS-O |
| Available Languages: | English |
| Exam Format: | Scenario-Based Items, Application & Analysis, Multiple Choice |
| Related Certifications: | CCDS |
| Sample Questions: | ACDIS CCDS-O Sample Questions |
| Exam Way: | Proctored at testing centers |
| Pre Condition: | Candidates must have a background in healthcare, coding, or clinical documentation. |
| Official Syllabus URL: | https://acdis.org/certifications/certified-clinical-documentation-specialist-outpatient |
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NEW QUESTION # 110
The majority of E/M services are based on which of the following criteria?
Answer: A
Explanation:
In outpatient CDI and coding education, selecting the correct E/M code starts with identifying the encounter category (e.g., office/outpatient vs inpatient/observation vs ED) and whether the patient is new or established, because these define the applicable CPT code range. Next, the level of service is selected within that range based on the documentation supporting the required elements for that code family. For most E/M services, "site of service" (place/setting) and "new vs established" are foundational code-selection drivers, while "level" is determined by the record's support for the applicable leveling methodology (commonly medical decision making and, when allowed/appropriate, time). Time can be a valid leveling method for many office/outpatient E/M visits, but it is not universally the basis for the majority of E/M services across all categories; it is an alternative pathway when documentation supports it. Physician specialty and patient age do not define the majority of E/M code selection. Therefore, the best overall statement is new/established status + site of service + level of service.
NEW QUESTION # 111
Calculate the expected yearly cost for this patient based on the RAF score.
Answer: D
Explanation:
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.
NEW QUESTION # 112
When reviewing physician metrics, a CDI specialist notes upward trends in the use of unspecified diagnoses. Which of the following diagnoses provides the BEST opportunity to positively influence the providers' RAF score in the CMS-HCC model?
Answer: C
Explanation:
In CMS-HCC risk adjustment, RAF impact comes from reporting qualifying chronic diseases (HCCs), not from nonspecific symptom-only documentation. "Angina pectoris, unspecified" is frequently a symptom-level statement and, by itself, often does not carry the same risk-adjustment weight as documenting and coding the underlying ischemic heart disease responsible for the angina (for example, coronary artery disease/atherosclerotic heart disease with angina). Ambulatory CDI practice emphasizes that when providers document only "angina," coders may be limited to a symptom code, which can under-represent the patient's true disease burden in the HCC model. This makes angina an excellent target for provider education: clarify whether the angina is due to CAD, whether CAD is present and being managed, and whether there are related manifestations (e.g., unstable angina, prior MI history, status post CABG/stent) that support more complete, clinically accurate reporting. By improving documentation linkage from symptom (angina) to the definitive chronic condition (CAD with angina), the provider can more reliably capture an HCC-relevant diagnosis and positively influence RAF accuracy.
NEW QUESTION # 113
Documentation states: "Patient with history of STEMI five weeks ago. Returning to office for follow-up. Problem list includes CAD, hypertension, heart failure, leukemia, malnutrition, and atrial fibrillation, all were relevant to the encounter. CBC and WBC reviewed and referred to oncologist. Follow-up with dietitian to further evaluate nutritional status." Which of the following is the MOST impactful risk adjusted query opportunity?
Answer: C
Explanation:
In outpatient risk adjustment, the highest-impact clarification is often the one that determines whether a condition is currently active (and therefore risk-adjustable) versus historical/resolved. "Leukemia" listed on the problem list, plus active review of CBC/WBC and referral to oncology, strongly suggests ongoing disease evaluation/management. ACDIS outpatient CDI principles emphasize querying to confirm whether the leukemia is active, in relapse, or in remission because that distinction can change code selection from an active malignancy to a history code, and history codes typically do not carry the same risk adjustment impact as an active HCC-bearing diagnosis. While heart failure type/acuity and malnutrition severity are also important for specificity and may affect risk capture, they generally represent refinement of already-established chronic conditions rather than a potential "on/off" determination of a major disease category. Likewise, atrial fibrillation subtype differentiation is clinically useful but usually does not materially change risk adjustment compared with confirming an active hematologic malignancy. Therefore, clarifying leukemia status/acuity is the most impactful risk-adjusted query opportunity.
NEW QUESTION # 114
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: C
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 # 115
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