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ACDIS CCDS-O Exam Syllabus Topics:

TopicDetails
Topic 1
  • Quality, Regulatory, and Health Initiatives: Covers population health, MSSP, ACO models, MACRA
  • MIPS, compliant query development, RADV audits, OIG compliance, problem list maintenance, and HIPAA requirements in outpatient CDI.
Topic 2
  • Risk Adjustment Models and Impact of Documentation and Coding: Covers CMS-HCC model fundamentals, RAF scoring, Medicare Advantage payments, hierarchies, disease interactions, and compliant HCC reporting requirements.
Topic 3
  • Diseases and Disease Processes and Application to the Clinical Chart Review: Covers clinical indicators across all ICD-10-CM chapters, applied to chart reviews, with recognition of medications, diagnostic tests, and abbreviations as documentation clarification triggers.
Topic 4
  • and billing: Covers Official Coding Guidelines, OPPS reimbursement (APCs), and professional billing concepts including CPT E
  • M codes and Medicare Physician Fee Schedule documentation.
Topic 5
  • CDI Program Concepts: Department Metrics and Provider Education: Covers provider education development, CDI performance metrics including query rates, RAF progression, HCC capture, ACO
  • MSSP impact, and physician documentation's effect on quality reporting.

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ACDIS Certified Clinical Documentation Specialist-Outpatient Sample Questions (Q69-Q74):

NEW QUESTION # 69
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 # 70
Which of the following is a form of a cardiac condition that may be treated with a beta-blocker?

Answer: D

Explanation:
Beta-blockers are commonly used in the management of coronary artery disease (CAD) because they lower heart rate, decrease myocardial contractility, and reduce oxygen demand-key goals in treating stable angina and in secondary prevention after myocardial infarction. In outpatient chart review, ACDIS-focused clinical documentation education emphasizes linking the medication to the condition being managed (e.g., "CAD with angina-on metoprolol for symptom control" or "history of MI-on beta-blocker for secondary prevention") to support accurate diagnosis reporting and demonstrate ongoing assessment and treatment. By contrast, third-degree (complete) heart block and sinus bradycardia are conditions where beta-blockers are typically avoided or used only with extreme caution because they can worsen conduction delay and slow the heart rate further. Cardiomyopathy can sometimes be treated with certain evidence-based beta-blockers when the clinical context is systolic heart failure, but the option most broadly and reliably associated with beta-blocker treatment in standard outpatient practice and documentation is CAD.


NEW QUESTION # 71
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 # 72
What is the goal of an MSSP program?

Answer: C

Explanation:
The Medicare Shared Savings Program (MSSP) is designed to move reimbursement away from pure volume-based payment and toward value by rewarding organizations that reduce the total cost of care for an assigned Medicare population while meeting defined quality performance requirements. In MSSP, eligible provider groups participate as Accountable Care Organizations (ACOs) and are compared against a financial benchmark. If the ACO's actual spending comes in below the benchmark and quality standards are achieved, the ACO can earn a portion of the savings-hence "shared savings." Outpatient CDI supports MSSP success by ensuring documentation accurately reflects patients' true disease burden (supporting appropriate risk adjustment for benchmarking), and that conditions addressed during visits are clearly documented as evaluated/managed to support reliable coding and quality measurement. While improving transitions of care may be a strategy that helps achieve savings and quality goals, it is not the core purpose of the program itself. Likewise, MSSP is not intended to increase fee schedule payments or simply optimize risk scores; the primary aim is participating in value-based care and sharing in savings when performance supports it.


NEW QUESTION # 73
Which of the following contributes to the risk adjustment score under the CMS-HCC model?

Answer: C

Explanation:
Under the CMS-HCC risk adjustment methodology, the RAF is calculated primarily from two categories of inputs: (1) demographic/enrollment eligibility factors and (2) diagnosis codes that map to HCCs based on documented, reportable conditions. Eligibility status matters because Medicare models differentiate beneficiaries by factors such as aged versus disabled status and other enrollment characteristics that affect expected cost. The second major driver is the set of valid, supported ICD-10-CM codes reported for the beneficiary during the data collection period; only certain chronic, clinically significant conditions map to HCCs, and they must be documented as active and applicable to the encounter and coded correctly. In ambulatory CDI, this is why accurate condition capture, specificity, and linkage (e.g., cause/manifestation relationships) are emphasized-because reported conditions directly affect the patient's risk profile and the expected cost benchmark. By contrast, income status is not a standard CMS-HCC input, "previous risk score" is not itself an input variable, and utilization outcomes like cost of care or readmissions are not used to compute RAF (they may be evaluated separately in quality/cost programs).


NEW QUESTION # 74
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