ACDIS CCDS-O Exam Questions

When a CDI query references information from an externally shared note, best practice is to include enough identifying detail so the provider can locate and validate the source even if access is later revoked or if the shared record becomes unavailable. From an outpatient CDI and HIPAA-aligned workflow perspective, the query should clearly cite: where the information came from (the location of the shared note within the EHR/external record set), who authored it (provider name), when it was created (date of shared note), and the specific clinical documentation being referenced (the relevant statement/findings). This supports transparency, auditability, and minimizes the risk of misattribution or relying on inaccessible information. Options B--D are missing one or more critical elements---most notably the date and/or location of the shared note---making it harder to verify the source. Including ''follow-up procedure'' is not the priority for HIPAA-compliant source identification; the key need is traceability of the external documentation used to support the clarification request.

In outpatient risk adjustment (commonly Medicare Advantage), the patient's predicted cost is derived from the Risk Adjustment Factor (RAF), which is the sum of component risk contributions. Here, the RAF is calculated by adding the HCC diagnoses score (0.166), disease interactions (0.112), and demographic score (0.330). That total equals 0.608. The PMPM (per-member-per-month) baseline cost is $800. To estimate the patient's expected monthly cost, multiply PMPM by RAF: $800 0.608 = $486.40 per month. The question asks for the expected yearly cost, so convert PMPM to annual: $486.40 12 = $5,836.80. ACDIS outpatient CDI teaching emphasizes that accurate documentation and compliant coding directly affect RAF through captured HCCs and interactions (when supported), which in turn drives expected resource needs and plan payment. Missing or unsupported diagnoses can understate RAF; vague documentation can prevent valid HCC capture.

In ICD-10-CM diabetes coding (as reinforced in outpatient CDI education), some diabetes manifestations are fully captured by a single diabetes ''combination'' code, while others require a diabetes complication code plus an additional code to identify the specific manifestation. Diabetic nephropathy and many forms of diabetic retinopathy are commonly represented by diabetes combination codes that already describe the manifestation with built-in specificity options (e.g., diabetes with nephropathy; diabetes with retinopathy with/without macular edema and severity). Osteomyelitis, however, is typically captured using a diabetes code such as ''diabetes with other specified complication'' (e.g., E11.69) to establish the linkage to diabetes and an additional code from the osteomyelitis category (e.g., M86.-) to specify the site, acuity, and type of osteomyelitis. From a chart review standpoint, CDI often queries to confirm the causal relationship (''due to diabetes'') and to ensure the osteomyelitis details (site, acute vs chronic) are documented so both codes can be assigned accurately and compliantly.

In outpatient risk adjustment, the highest-impact clarification is often the one that determines whether a condition is currently active (and therefore risk-adjustable) versus historical/resolved. ''Leukemia'' listed on the problem list, plus active review of CBC/WBC and referral to oncology, strongly suggests ongoing disease evaluation/management. ACDIS outpatient CDI principles emphasize querying to confirm whether the leukemia is active, in relapse, or in remission because that distinction can change code selection from an active malignancy to a history code, and history codes typically do not carry the same risk adjustment impact as an active HCC-bearing diagnosis. While heart failure type/acuity and malnutrition severity are also important for specificity and may affect risk capture, they generally represent refinement of already-established chronic conditions rather than a potential ''on/off'' determination of a major disease category. Likewise, atrial fibrillation subtype differentiation is clinically useful but usually does not materially change risk adjustment compared with confirming an active hematologic malignancy. Therefore, clarifying leukemia status/acuity is the most impactful risk-adjusted query opportunity.

Under CMS-HCC methodology, risk adjustment is driven by ICD-10-CM diagnoses that map to HCC categories and are supported as active conditions addressed at the encounter. CKD stage 3 is a classic HCC-qualifying chronic condition because it represents ongoing kidney disease severity and expected resource use, and in this note it is actively assessed with labs reviewed and a nephrology referral. A chronic non-pressure foot ulcer is also typically HCC-qualifying when documented as ongoing and requiring management, which is supported here by home care/wound assessment planning. In contrast, ''depression'' (without specification such as major depressive disorder severity/status) commonly does not qualify for HCC in the way major depressive/bipolar categories do, making it less reliable as a risk-adjusting diagnosis. Likewise, ''renal failure'' is nonspecific and potentially conflicting with CKD stage 3; CDI best practice would be to clarify acuity/severity (acute kidney injury vs CKD stage vs ESRD) rather than assume ''renal failure'' as an HCC driver. Therefore, the validated HCC-qualifying pair is CKD 3 and chronic non-pressure ulcer.