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| Certification Vendor: | ACDIS |
|---|---|
| Exam Name: | Certified Clinical Documentation Specialist-Outpatient |
| Exam Number: | CCDS-O |
| Related Certifications: | CCDS |
| Available Languages: | English |
| Exam Format: | Multiple Choice, Scenario-Based Items, Application & Analysis |
| 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 # 77
In which of the following ways does payment determination (risk score calculation) differ between HHS-HCCs and CMS-HCCs?
Answer: D
Explanation:
A key ambulatory CDI distinction between the two major risk models is timing. The HHS-HCC model (used for ACA Marketplace risk adjustment) is commonly described as a concurrent model: it uses the enrollee's demographics and diagnoses from the same benefit year to reflect morbidity and support that year's risk transfer/payment balancing. In contrast, the CMS-HCC model (commonly applied in Medicare Advantage) is prospective: conditions documented and coded in the prior data collection year are used to predict expected cost for the following payment year. From an outpatient CDI perspective, this timing difference affects operational priorities. For CMS-HCC, accurate annual capture and recapture of active chronic conditions is essential because last year's documented conditions drive next year's risk score and revenue. For HHS-HCC, complete documentation and coding during the current year impacts the current year's risk measurement. Options referencing CPT codes are not correct for the core HCC risk score calculation, which is driven by demographics and ICD diagnosis reporting mapped to HCC categories.
NEW QUESTION # 78
During a PCP visit, a provider notes a patient's history of pathological fracture of the thoracic spine related to osteoporosis. Documentation states: "Decreased muscle mass and significant weight loss in the last six months." Which of the following should the CDI specialist query for?
Answer: C
Explanation:
The documentation "decreased muscle mass and significant weight loss in the last six months" raises a strong clinical indicator for a nutrition-related condition (e.g., malnutrition, cachexia, or other clinically significant weight loss) that should be clarified by the provider. In outpatient CDI practice, ACDIS-based guidance emphasizes querying when there are objective or clearly stated indicators suggesting an additional diagnosis that is clinically relevant, affects management, or reflects patient complexity. Malnutrition is particularly important because it can explain functional decline, frailty, and increased risk of falls/fractures, and it often changes the care plan (dietary counseling, nutrition referral, supplementation, labs, monitoring). While "degree of muscle atrophy" and "acuity of the fracture" could matter in other contexts, the note explicitly highlights a systemic decline over six months rather than an acute fracture issue. "Type of osteoporosis" is relevant for specificity, but the new, clinically significant clue here is unintended weight loss with muscle wasting-making malnutrition the most appropriate clarification opportunity.
NEW QUESTION # 79
Provider documentation states: "A patient is seen today with DM type 2, peripheral neuropathy with diabetic ulcer of the left great toe, hypertension, and BMI 43. O2 dependent, chronic respiratory failure due to COPD, stopped smoking 2 years ago - 84 packs per year smoking habit." Which of the following query opportunities will impact risk adjustment?
Answer: D
Explanation:
In ambulatory CDI, "risk adjustment impact" means the clarification can change whether an HCC-relevant condition is captured accurately (or captured at all) based on ICD-10-CM reporting rules. Here, "DM2 with peripheral neuropathy with diabetic ulcer" already establishes diabetes with complications, so querying option B adds little-complications are already documented. "Nicotine dependence" is not supported because the patient stopped smoking two years ago; at most, this supports a history of nicotine dependence, which generally does not drive HCC risk scoring. "Morbid obesity" may be clinically relevant (BMI 43 supports it), but obesity typically does not produce meaningful CMS-HCC risk adjustment impact compared with other chronic categories. The diabetic ulcer does matter: correct reporting requires an additional L97.- code that depends on ulcer severity/depth (skin breakdown, fat layer exposed, necrosis of muscle/bone). Clarifying depth supports accurate ulcer severity coding and can affect HCC capture/validation for chronic ulcer burden.
NEW QUESTION # 80
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: B
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 # 81
A CDI specialist manager is reviewing the productivity metrics of the outpatient team and notes that one of the CDI specialists has a high query rate and a good physician response, but a low physician agree rate compared to the rest of the team. This likely indicates which of the following?
Answer: C
Explanation:
A high query rate with a strong physician response rate shows the CDI specialist is generating many queries and providers are opening/responding to them. However, a consistently low agree rate indicates providers frequently select "disagree," "clinically undetermined," or otherwise do not validate the query's suggested clarification. In outpatient CDI program management, that pattern most often reflects query quality problems-for example, queries that are not well-supported by encounter-specific clinical indicators, queries that are vague or overly speculative, or queries that do not align with outpatient reportability standards (e.g., prompting for diagnoses not clearly monitored/evaluated/assessed/treated). While leading queries are a compliance concern, the more direct operational inference from "high volume + answered + not agreed with" is that the queries are not clinically compelling or are poorly constructed, resulting in frequent provider non-concurrence. Case complexity alone would not reliably drive low agree rates if the queries were appropriately targeted and evidence-based. Therefore, the most likely interpretation is poor-quality queries requiring coaching on clinical support, clarity, and compliant construction.
NEW QUESTION # 82
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