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| Section | Weight | Objectives |
|---|---|---|
| Clinical Conditions, Pathophysiology, and Chart Review | 20% | - Disease processes across all body systems and documentation relevance - Clinical indicators, diagnostic tests, medications, and documentation triggers - Differentiating acute vs chronic, active vs historical conditions |
| Healthcare Regulations, Reimbursement, and Documentation Requirements | 35% | - Provider coding and billing: CPT, Evaluation and Management (E/M), Medicare Physician Fee Schedule - Alternative payment models: ACO, MSSP, MACRA/MIPS - Outpatient Prospective Payment System (OPPS) and Ambulatory Payment Classifications (APCs) - Official Guidelines for Coding and Reporting (OCG) for ICD-10-CM
|
| CDI Program Concepts, Queries, and Quality | 20% | - Compliant query development: principles, structure, and non-leading language - CDI metrics: query rates, capture rates, quality scores, denial prevention - Regulatory compliance: HIPAA, OIG work plan, confidentiality - Problem list maintenance, provider education, and program operations |
| Risk Adjustment Models and Documentation Impact | 25% | - Hierarchies, disease interactions, and compliant HCC reporting - RADV audit concepts and documentation compliance - CMS-HCC model fundamentals and RAF scoring - Medicare Advantage payment structure and documentation requirements |
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NEW QUESTION # 16
An African American male enrolled in Medicaid has not been taking his blood pressure medication. Which of the following factors impacts this beneficiary's risk score?
Answer: A
Explanation:
Medicaid risk adjustment models generally calculate risk using two major categories of inputs: demographics and diagnosis data. Demographic factors commonly include gender and indicators tied to Medicaid status/eligibility (for example, eligibility category, dual status, disability-related eligibility, or other program qualifiers depending on the state/model). These demographic elements adjust expected cost and are foundational to the risk score even before considering diagnoses. By contrast, race is not a standard input for calculating Medicaid risk scores in typical risk adjustment methodologies, so options that include race are not supported. Likewise, "patient noncompliance" is primarily a clinical and quality-of-care issue and may affect treatment outcomes, but it is not itself a standard risk-score driver unless it is documented as a reportable, supported diagnosis that the specific model recognizes (and most models don't directly risk-adjust for nonadherence codes). Therefore, among the options given, Medicaid status and gender are the most clearly valid factors that impact the beneficiary's risk score.
NEW QUESTION # 17
A patient is seen by an endocrinologist to manage his poorly controlled diabetes with peripheral neuropathy and claudication. The patient has had several toes amputated in prior years and currently has a non-healing ulcer on the left foot. The patient's additional chronic conditions consist of the following: HF, CAD, COPD, history of prostate cancer, arthritis, depression, and sleep apnea. Which of the following chronic conditions should the CDI specialist consider for future education regarding RAF impact with the endocrinologist?
Answer: C
Explanation:
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 treating diabetes and its complications. Diabetes with peripheral neuropathy/vascular disease plus an active non-healing foot ulcer reflects significant diabetic disease burden and often supports additional required coding (e.g., diabetes complication code plus a separate site/severity ulcer code). The history of toe amputations is 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.
NEW QUESTION # 18
CMS-HCC risk adjustment methodology seeks to measure
Answer: A
Explanation:
The CMS-HCC risk adjustment methodology is designed to estimate an individual beneficiary's expected healthcare resource use and cost relative to an average Medicare beneficiary. It does this by converting demographic factors (such as age/sex and certain eligibility variables) plus documented, coded chronic conditions into a Risk Adjustment Factor (RAF). That RAF is then used to forecast the likely cost of caring for that specific patient in the payment year and to adjust benchmarks/payments so plans and providers managing sicker patients are compared more fairly to those managing healthier patients. This is why outpatient CDI emphasizes accurate, specific documentation and annual recapture of active conditions that are monitored, evaluated, assessed/addressed, or treated-because those coded conditions drive the predicted cost profile. CMS-HCC is not a mortality prediction tool (eliminating B), nor is it intended to measure "group costs" as the primary target (C), even though aggregated risk scores can be used for population analytics. It also does not measure an individual physician's cost of care provision (D); it measures patient-level expected cost burden.
NEW QUESTION # 19
Which of the following illustrates an example of a compliant, prospective query?
Answer: A
Explanation:
A compliant prospective query is initiated before the next encounter so the provider can clarify documentation during the upcoming visit, using clinically relevant indicators without directing a specific diagnosis. Option A does this appropriately: it references an existing CHF history and a supportive medication (Lasix), then asks the provider to confirm whether CHF is pertinent at the next visit and, if so, to specify type and acuity. This supports accurate outpatient reporting because heart failure coding requires specificity (systolic/diastolic/combined; acute/chronic/acute on chronic) and should reflect what is actually evaluated/managed at the encounter. Option B is retrospective and attempts to justify a prior test. Option C is leading because it asks the provider to "add" a diagnosis to a past note rather than clarify current clinical status. Option D is also retrospective and uses "please add CHF," which is leading and can be perceived as prompting. Therefore, A best demonstrates a compliant prospective query.
NEW QUESTION # 20
What stage of pressure ulcer describes necrosis of soft tissue through the underlying muscle?
Answer: A
Explanation:
A Stage 4 pressure ulcer (pressure injury) is characterized by full-thickness tissue loss with extensive destruction, tissue necrosis, or damage to muscle, bone, or supporting structures. The key phrase in the question-"necrosis of soft tissue through the underlying muscle"-signals a depth of injury that extends beyond the subcutaneous tissue and involves muscle, which is consistent with Stage 4. By comparison, Stage 2 involves partial-thickness skin loss with exposed dermis (no necrosis through deeper structures). Stage 3 involves full-thickness skin loss where adipose may be visible, but muscle, tendon, or bone are not exposed; undermining and tunneling may occur, yet the defining line is that it does not extend to muscle/bone involvement. "Stage 5" is not part of standard pressure ulcer staging used in coding and documentation. Outpatient CDI practice emphasizes documenting the exact stage, anatomic location, laterality when applicable, and whether the ulcer is healing or complicated (infection/osteomyelitis) because stage drives specificity, severity capture, and appropriate care planning documentation.
NEW QUESTION # 21
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