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NEW QUESTION # 47
An established patient is defined as one who has received professional services from the same or another physician or qualified healthcare professional from the exact same specialty and sub-specialty and belongs to the same group practice, within the past how many years?
Answer: A
Explanation:
For outpatient E/M reporting, "new vs. established patient" status is determined using a lookback period based on prior professional services. An established patient is one who has received face-to-face (or other qualifying professional) services from the same physician or another physician/qualified healthcare professional of the same specialty and subspecialty in the same group practice within the previous three years. This definition is critical for compliant coding because it drives which E/M code family is available (new patient codes vs established patient codes), and it affects relative valuation, documentation expectations, and audit risk. Outpatient CDI education emphasizes helping providers document the medical necessity and complexity of the visit regardless of patient status, but also ensuring correct administrative classification so coders select the correct code set. The three-year window prevents inappropriate use of new patient codes when the patient has an ongoing clinical relationship with the practice/specialty, supporting accurate reimbursement and consistent reporting.
NEW QUESTION # 48
A CDI specialist has created the following query:
"Dear Dr., Based on the following clinical indicators: history of CVA and physical therapy ordered to address left sided weakness, please confirm a diagnosis of hemiplegia." What feedback should be given to the CDI specialist regarding the query?
Answer: B
Explanation:
This query is non-compliant because it is leading: it asks the provider to "confirm a diagnosis of hemiplegia," presenting only one targeted outcome rather than requesting clarification in a neutral, clinically appropriate way. ACDIS-aligned outpatient query practice requires queries to be compliant, non-leading, and supported by clinical indicators, typically offering multiple reasonable options (or an open-ended format) and allowing the provider to document the most accurate clinical impression. In this scenario, "history of CVA," "left-sided weakness," and "physical therapy ordered" could reflect several possibilities-such as hemiparesis, residual weakness, post-stroke deficits, deconditioning, or other neurologic impairment-so the query should ask the provider to clarify the nature and diagnosis of the deficit (and laterality), not to confirm a single diagnosis. Option A is incorrect because coding cannot assume hemiplegia without provider documentation. Option C is not the best feedback because indicators can justify clarification. Option D is unnecessary; MRI results are not required for a compliant outpatient query.
NEW QUESTION # 49
Which of the following categories of MIPS is MOST impacted by CDI provider education around specificity with diagnoses and documentation?
Answer: C
Explanation:
CDI education focused on diagnosis specificity and complete, clinically supported documentation most directly influences the Quality and Cost performance categories. In the Quality category, many measures depend on correct identification of eligible patient populations (denominators), exclusions, and risk adjustment. When providers document conditions precisely (e.g., specific heart failure type, diabetes complications, CKD stage), it improves the accuracy of coded data that underpins measure calculations and risk stratification. In the Cost category, CMS uses claims-based methodologies that compare observed versus expected costs; accurate diagnosis capture affects patient complexity and risk adjustment, which can materially change expected cost targets and episode attribution. ACDIS outpatient CDI principles emphasize that incomplete or vague documentation can make patients appear less complex than they are, potentially worsening both quality comparisons and cost benchmarks. By contrast, Promoting Interoperability is driven primarily by EHR use and electronic processes, and Improvement Activities reflect practice transformation/engagement rather than diagnosis specificity. Therefore, Quality and Cost are the MIPS categories most impacted by CDI education on specificity.
NEW QUESTION # 50
Upon review of payer data, a decrease in RAF scores for the organization is noted. After reviewing internal metrics, a CDI specialist notes an increase in the volume of HCC queries across the organization, with accurate coding confirmed. Which of the following is the MOST plausible explanation for these findings?
Answer: C
Explanation:
When internal CDI metrics show increased HCC-related querying and coding accuracy is confirmed, you would typically expect payer RAF outputs to stabilize or improve-assuming the payer receives and processes the same diagnosis data. A payer-reported RAF decrease despite accurate internal capture most strongly suggests a break in the data flow between the organization and the payer. In outpatient risk adjustment, RAF depends on documented, supported diagnoses being correctly coded and then successfully transmitted on the encounter/claim to the payer's risk-adjustment ingestion process. If certain diagnoses are dropped (claim edits, interface mapping issues, encounter rejection, late submissions, or incomplete encounter files), the payer's dataset will under-represent HCCs and RAF will fall even though internal coding looks correct. CPT visibility (B) generally affects utilization/fee-for-service payment and analytics, not HCC-based RAF. Compliant queries (C) describe process quality but don't explain a payer-side RAF decline. A local "model not updated" (D) wouldn't reduce payer-calculated RAF if the payer is applying its own current model to received diagnoses.
NEW QUESTION # 51
Which of the following adds weight to the risk score over and above the CMS-HCC weights for individual conditions?
Answer: C
Explanation:
CMS-HCC risk adjustment assigns a baseline coefficient (weight) to each qualifying HCC condition, but certain combinations of conditions can increase predicted cost beyond what would be expected by simply adding the two individual weights. These added increments are captured through disease interaction factors, which apply when specific conditions coexist (for example, diabetes with certain severe complications, or other paired conditions defined by the model). In outpatient CDI, this is why documentation must clearly support both diagnoses-each must be clinically evaluated/managed and meet reporting rules-because accurately capturing the interacting conditions can legitimately increase the beneficiary's risk score. By contrast, hierarchies are designed to prevent double-counting within related condition families (the more severe manifestation typically supersedes a less severe one), which often limits-not adds-separate weights. Resource-based relative values and conversion factors belong to physician fee schedule payment methodology for services/procedures (RVUs and payment conversion), not HCC risk score calculation. Therefore, disease interactions are the correct concept that adds risk score weight beyond individual HCC coefficients.
NEW QUESTION # 52
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