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NEW QUESTION # 102
A patient receives treatment for diabetes during a primary care visit. He has a glucose level of 240 and A1C of 7.9. The patient is prescribed Gabapentin 100mg TID. Which of the following should the CDI specialist query for?
Answer: D
Explanation:
In outpatient CDI chart review, a key skill is recognizing when medications and treatment plans suggest a specific diabetic complication that is not explicitly documented. Gabapentin is commonly prescribed for neuropathic pain, and in a diabetic patient it is frequently used to treat diabetic peripheral neuropathy symptoms (burning, tingling, numbness, shooting pain). ACDIS outpatient CDI guidance supports querying when there are strong clinical indicators that a more specific, clinically relevant diagnosis may be present and is being treated at the encounter, because diabetes codes require complication specificity when supported (e.g., "diabetes with neuropathy" rather than unspecified diabetes). The elevated glucose and A1C confirm ongoing diabetes management but do not, by themselves, indicate CKD, macular degeneration, or ketoacidosis. Ketoacidosis would require documentation of acute metabolic decompensation and supporting clinical/lab findings, which are not provided here. Therefore, the most appropriate clarification is whether the patient has diabetic peripheral neuropathy (and whether it is painful neuropathy) being managed with gabapentin, so the provider can document the condition clearly and accurately.
NEW QUESTION # 103
Clinic documentation states: "Follow-up for post-induction chemotherapy for metastatic uterine cancer." To BEST identify the conditions being monitored and treated, a CDI specialist should
Answer: A
Explanation:
When documentation states "metastatic uterine cancer," the most important missing element for complete, accurate outpatient coding is where the cancer has metastasized (the secondary site[s]). In ambulatory CDI, identifying secondary sites best clarifies the full scope of disease being monitored and treated because metastatic disease coding relies on documenting both the primary malignancy and the specific metastatic location(s) (e.g., lung, liver, bone, peritoneum, lymph nodes). This supports correct severity representation, risk capture, treatment intent, and medical necessity for ongoing chemotherapy follow-up. While tumor morphology can be clinically relevant, it is usually established earlier in the diagnostic pathway and does not, by itself, define current metastatic burden. Likewise, reviewing labs or MRI results may provide supportive indicators, but they do not replace provider documentation of the confirmed metastatic sites being managed. A compliant query focused on secondary sites prompts the provider to document the current metastatic disease status (active, responding, progressing) and specific locations, which most directly identifies the conditions under treatment.
NEW QUESTION # 104
The principal diagnosis is defined as:
Answer: D
Explanation:
The definition in option B is the official Uniform Hospital Discharge Data Set (UHDDS) definition used for inpatient coding: the principal diagnosis is the condition determined-after evaluation-to be chiefly responsible for the admission. It is not simply the first condition written, nor necessarily the "worst" or most severe condition; it is the reason for admission once the workup clarifies the clinical picture. CDI practice reinforces this because principal diagnosis selection drives DRG assignment, quality metrics, and reporting, and errors often stem from confusing presenting symptoms with the final established diagnosis. Although outpatient settings use different concepts (e.g., first-listed diagnosis for the encounter), ACDIS education frequently contrasts inpatient "principal diagnosis" with outpatient "first-listed" to prevent documentation and coding misalignment. Clinicians should document the definitive condition when known (and link symptoms to that condition), and clearly describe diagnostic uncertainty when not yet established. This clarity supports compliant coding, accurate benchmarking, and defensible medical necessity across settings.
NEW QUESTION # 105
A compliant physician query must:
Answer: D
Explanation:
A compliant query is designed to clarify the record without steering the provider to a predetermined answer. ACDIS-aligned standards stress two essentials: neutrality (non-leading phrasing) and clinical support (relevant indicators). Clinical indicators might include vitals, labs, imaging, medications, documented symptoms, problem list history, or assessment findings that create the need for clarification. The query should present the inconsistency or ambiguity, reference the supporting facts, and offer clinically reasonable answer choices including "other" and "unable to determine" when appropriate. This structure protects documentation integrity and reduces regulatory risk, because leading queries can be interpreted as directing documentation for payment rather than accuracy. Verbal-only queries are not sufficient when they affect coding; CDI programs typically require a documented query trail per policy. Purely open-ended questions without context are also problematic because they do not show why clarification is needed and may not be actionable. Proper non-leading, indicator-supported queries improve accuracy of diagnosis specificity, severity capture, and defensibility in audits while preserving provider autonomy.
NEW QUESTION # 106
Which of the following conclusions can be drawn from the impact of a CDI program on Clinic A using the table below?
Answer: B
Explanation:
The only conclusion that is directly supported by the table is that Clinic A's percent RAF captured is higher in every month of 2023 compared with the corresponding month in 2022. The monthly values rise year-over-year (e.g., January 21% vs 17%, February 33% vs 25%, and continuing through December 84% vs 76%), showing a consistent improvement pattern across the entire calendar year. In outpatient CDI and risk adjustment work, "RAF capture" is commonly used as a performance indicator reflecting how completely documented and coded risk-adjusting conditions (e.g., HCC-supported diagnoses) are being captured within the measurement period. However, the table does not prove why the improvement occurred. It cannot confirm provider engagement (A) without workflow/participation data, cannot compare to other clinics (B) because no other clinic data are shown, and cannot establish that the population was sicker (C) because RAF capture measures documentation/coding completeness relative to opportunity, not inherent patient acuity. Therefore, D is the verified conclusion.
NEW QUESTION # 107
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