CCDS-O Exam Dumps - ACDIS Clinical Documentation Specialist Questions and Answers

CMS assignsMedicare Administrative Contractors (MACs)to administer Medicare fee-for-service operations at the jurisdictional level, includingprocessing and paying both Part A and Part B claims. In outpatient CDI terms, MACs are central because they apply Medicare coverage rules, edit logic, and payment policies that determine whether documentation supports medical necessity and correct coding for submitted claims. This includes adjudicating hospital outpatient (Part B) services and facility-based Part A services, handling provider enrollment functions, issuing Local Coverage Determinations (as applicable through their medical review processes), and responding to claim inquiries and appeals routing. By contrast,Recovery Audit Contractors (RACs)focus on identifying and recovering improper payments (post-payment auditing).Risk Adjustment Data Validation (RADV) contractorsvalidate diagnosis data submitted for risk-adjusted programs (primarily Medicare Advantage), not routine FFS claim processing.Zone Program Integrity Contractors (ZPICs)(and their successors in some contexts) focus on program integrity and fraud/waste/abuse investigations rather than standard claim adjudication. Therefore, the entity responsible for processing Part A and Part B beneficiary claims is the MAC.

For RAF impact in the CMS-HCC model, the most valuable provider education targets are conditions that (1) map to HCCs or interact with HCC hierarchies, and (2) are clearly within the specialist’s scope to assess and manage during visits. In this scenario, the endocrinologist is actively treatingdiabetesand its complications. Diabetes withperipheral neuropathy/vascular diseaseplus an activenon-healing foot ulcerreflects significant diabetic disease burden and often supports additional required coding (e.g., diabetes complication code plus a separate site/severity ulcer code). The history oftoe amputationsis also important because amputation status can represent ongoing complexity, affects care planning (risk of recurrent ulcer/infection), and may contribute to risk capture depending on the model and associated complications. By contrast, CAD/COPD/HF may not be evaluated by the endocrinologist at the visit, “A1C” is a lab value (not a diagnosis), and “history of prostate cancer” generally does not risk-adjust like active malignancy. Therefore, educating on documenting diabetes, amputation status, and ulcer details best supports RAF accuracy.

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.

Outpatient/provider coding relies on two major code sets: ICD-10-CM for diagnoses and CPT/HCPCS for professional services, procedures, and supplies. Because of that, outpatient coding authority is anchored not only in the ICD-10-CM Official Guidelines and AHA Coding Clinic guidance for diagnosis reporting, but also in the authoritative guidance that clarifies CPT/HCPCS reporting. ACDIS outpatient CDI education stresses that CDI specialists must understand both sides: the diagnosis coding rules (ICD-10-CM) and the procedural/service reporting rules (CPT/HCPCS) that drive much of outpatient reimbursement. AMA’s CPT Assistant is a key interpretive authority for CPT coding guidance, while AHA’s Coding Clinic for HCPCS provides clarification on HCPCS Level II reporting. The other options focus on ICD-10-PCS guidelines and DRG tools, which are primarily inpatient facility concepts (PCS is inpatient procedure coding; DRGs are inpatient payment groupers). Therefore, the correct supplemental outpatient authority pair is AHA’s Coding Clinic for HCPCS and AMA’s CPT Assistant.

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.

The HHS-HCC risk adjustment model (used for ACA Marketplace plans) calculates a member’s risk score using a combination ofdemographic factorsanddiagnosis codesthat map to HHS-HCCs. Among the listed health record elements,genderis a core demographic variable used in the model’s coefficients because expected healthcare utilization and cost patterns differ by age/sex groupings. In outpatient CDI terms, this is why accurate demographic data capture (including sex) matters alongside complete and specific condition reporting. CPT codes do not drive HHS-HCC risk scores; the model relies on diagnosis reporting (ICD-10-CM) rather than procedure codes for risk category assignment. Discharge status is an encounter/billing element relevant to certain facility payment and quality measures, but it is not a standard HHS-HCC risk score input. Ethnicity is not used as a direct risk adjustment variable in the HHS-HCC model for score calculation. Therefore, gender is the correct element that impacts HHS-HCC risk scores.

To establish and query for a patient’s baseline renal function in the outpatient setting, eGFR is the most direct and standardized measure because it estimates kidney filtration capacity using serum creatinine (and patient factors such as age/sex, and sometimes race depending on the equation used). Outpatient CDI concepts emphasize that chronic kidney disease staging is based primarily on eGFR categories (G1–G5) and persistence over time, making eGFR trends particularly useful for determining whether the patient has CKD, whether it is worsening, and what stage should be documented. Serum creatinine alone can suggest decline but does not translate cleanly to CKD stage without calculating eGFR and considering patient characteristics. BUN is influenced by hydration status, protein intake, bleeding, and catabolic states, so it is less reliable for baseline kidney function assessment. ACR is important for detecting albuminuria and refining CKD classification/risk stratification, but it complements eGFR rather than replacing it as the primary indicator of baseline filtration function.

For outpatient/observation encounters, the first-listed diagnosis is the condition chiefly responsible for the services provided during that encounter. In this scenario, the patient’s ambulatory surgery (herniorrhaphy) has already occurred, and the reason the patient is now in observation is explicitly documented as “post procedural urinary retention.” That makes urinary retention the condition driving the extended monitoring, evaluation, and management in observation status. Benign prostatic hyperplasia and an adverse reaction to anesthesia are documented only as possible etiologies (“likely related to…or…”), and outpatient guidelines do not support coding uncertain diagnoses expressed as “likely” or as alternative possibilities without definitive confirmation. Therefore, those potential causes would not replace the confirmed problem that necessitated observation. The hernia was the reason for the procedure, but it is not the reason for the postoperative observation services described. Outpatient CDI practice reinforces documenting the clinical reason for observation and clearly distinguishing confirmed postoperative complications from suspected causes to support correct first-listed selection.

In outpatient coding, selection and sequencing must follow ICD-10-CM Official Guidelines, including obstetric chapter rules. When HIV is documented in a pregnant patient, the pregnancy complication code is sequenced first because the pregnancy status frames the encounter and drives the obstetric complication coding structure. The phrase “HIV positive” (without documentation of HIV-related illness or “HIV disease”) is treated asasymptomatic HIV infection status, which aligns with the status concept rather than active HIV disease. Therefore, the correct approach is to codepregnancy complicated by asymptomatic HIVfirst (obstetric complication category), followed by the HIV status code to fully describe the condition affecting the pregnancy. Options that place “pregnancy” second do not follow obstetric sequencing conventions, and options that assume “HIV disease” overstep the documentation because “HIV positive” alone does not confirm symptomatic HIV disease. Outpatient CDI best practice would be to query if the provider intends HIV disease versus asymptomatic status, but based strictly on the given statement, pregnancy with asymptomatic HIV is most appropriate.

HCC category assignment is most similar to DRG diagnostic category logic because both methods take detailed diagnosis coding andmap it into clinically meaningful groupingsused for payment or performance methodologies. In CMS-HCC risk adjustment, ICD-10-CM diagnosis codes map to Condition Categories (HCCs) that represent disease groups with expected cost and complexity, and the model applies rules such ashierarchies(to avoid double-counting related conditions) and, in some cases,interactions(to recognize added impact when certain conditions coexist). DRGs similarly group diagnoses (and procedures in the inpatient setting) into a limited number of categories intended to reflect resource consumption and clinical similarity, rather than paying strictly on every individual code. By contrast, 835 is a remittance advice transaction standard (payment explanation) and has nothing to do with clinical grouping methodology. ICD-10-PCS and CPT are procedure/service coding systems; they describe interventions performed, not the risk-category grouping of diagnoses. Therefore, DRG diagnostic categories are the closest conceptual match to HCC assignment methodology.