Free Practice Questions for ACDIS CCDS-O Exam

In the outpatient setting, thefirst-listed diagnosisis the condition chiefly responsible for the services provided during the encounter. Here, the stated reason for the visit iscontinued confusion and poor memory, and the provider specifically evaluates the patient’scurrent mental stateand references neurology consultation notes—actions that directly support assessment of a cognitive disorder. While HTN, GERD, and Parkinson’s are also addressed and may be reportable if they meet encounter relevance (e.g., monitored, evaluated, assessed/managed, or treated), they are not the primary driver for today’s visit based on the presenting complaint. Outpatient documentation and coding guidance emphasizes sequencing the diagnosis that best explains the visit’s main purpose first, with additional coexisting conditions listed afterward when they impact care. Since “dementia” is on the active problem list and aligns with the patient’s cognitive symptoms and the physician’s mental-status evaluation, it is the most appropriate first-listed diagnosis among the options.

In obstetric and postpartum coding, the most important clarification is thetype/timingof hypertension because ICD-10-CM has distinct categories for chronic (pre-existing) hypertension, gestational hypertension, and hypertensive disorders that persist into or present during the postpartum period. At 6 weeks postpartum with elevated readings (including a systolic of 160) and headache, the documentation “hypertension” is not specific enough to determine whether this represents chronic hypertension that predates pregnancy, gestational hypertension that has not resolved, or another pregnancy-related hypertensive disorder requiring different obstetric coding and follow-up. ACDIS outpatient CDI guidance prioritizes queries that resolve coding-impactful ambiguity using clinically supported options without leading the provider. While postpartum preeclampsia could be a clinical consideration, the note does not provide key supporting elements (e.g., proteinuria or other definitive severe-feature criteria), so jumping directly to preeclampsia/eclampsia is less appropriate than clarifying onset and relationship to pregnancy. Linking hypertension to smoking is not a standard required linkage for diagnosis coding, and “hypertensive crisis” is not supported by the documentation provided.

Provider engagement in an outpatient CDI program is best reflected by measures that show the provider is actively interacting with CDI processes and improving documentation behaviors in real time.Query response ratesdirectly indicate whether the provider is reading and responding to CDI clarifications promptly and consistently, which is a fundamental engagement behavior and a key operational driver of documentation accuracy.Problem list updatesfurther demonstrate sustained engagement because they reflect the provider’s willingness to maintain an accurate, current list of active conditions (adding validated diagnoses, removing resolved problems, and updating specificity such as stage, severity, or laterality). Together, these two metrics show both immediate participation (responding to queries) and longer-term adoption of documentation best practices (maintaining the problem list). In contrast,RAF scoresandRAF capture ratesare influenced by patient complexity, payer mix, and coding capture processes, and may improve even without meaningful provider participation.MIPS scoresreflect broader quality program performance and are not specific to CDI-provider interaction. Therefore, query responsiveness plus problem list maintenance most directly measures engagement with outpatient CDI.

The best query is chronic respiratory failure because home oxygen is a strong clinical indicator that often reflects an underlying chronic hypoxemic condition beyond uncomplicated COPD. Outpatient CDI guidance stresses that queries should be driven by present clinical indicators in the note and should seek clarification that impacts accurate diagnosis capture and ongoing care. Here, the provider documents COPD plus home oxygen and is arranging continued services (medication management and home health), which supports asking whether the patient has a reportable condition such as chronic respiratory failure with hypoxia (or COPD with chronic hypoxemia) and whether it is being monitored/managed. The other options lack support: acute blood loss anemia has no bleeding, hemodynamic instability, or acute findings; peripheral neuropathy is not assessed or described despite diabetes; and CKD has no labs, staging, history, or assessment. A compliant query would be non-leading and include the indicator (home O₂) and request the most accurate diagnosis and specificity/status.

In outpatient CDI, “pre-visit” or prospective preparation focuses on chronic, clinically significant conditions that are likely to remain active and that should be reassessed and documented with clear MEAT support (monitor, evaluate, assess/address, treat) during the upcoming encounter. Epilepsy, chronic heart failure, and Crohn’s disease are all long-term conditions that commonly require ongoing medication management, monitoring, and periodic reassessment, making them strong candidates for reminder/education to ensure the provider documents current status (controlled vs uncontrolled, exacerbation, complications, and treatment plan). This also supports accurate risk adjustment because chronic conditions with ongoing impact are the ones expected to be recaptured when addressed. In contrast, option C includes “family history,” which is not a current active condition for risk adjustment, and options D includes acute/self-limited problems (syncope episode, pharyngitis) that are less appropriate as pre-visit chronic-condition prompts. Option B mixes chronic disease with items that may be historical or encounter-specific (compression fracture timing/status), making it less consistently targetable than option A.

In stage 3 chronic kidney disease, impaired vitamin D activation and early disturbances in calcium-phosphate regulation commonly drive a compensatory rise in parathyroid hormone (PTH), known as secondary hyperparathyroidism of renal origin. Outpatient CDI chart review looks for clinical indicators that suggest a condition being evaluated or requiring management, and an elevated iPTH in a CKD patient is a classic indicator that supports querying the provider for CKD-related mineral and bone disorder, specifically renal secondary hyperparathyroidism, if it is clinically being assessed/treated (e.g., monitoring trends, prescribing vitamin D analogs, calcimimetics, dietary counseling, nephrology follow-up). Primary hyperparathyroidism is less supported here because it typically requires a different biochemical pattern and clinical context (often hypercalcemia) rather than being driven by CKD physiology. Hypoparathyroidism is the opposite process (low PTH), making option C inconsistent with the lab finding. Option D is not supported because phosphorus is normal, not low, and hypophosphatemia is not documented as a driver. Therefore, querying for renal secondary hyperparathyroidism is most appropriate.

The most compliant query is the one that is clinically supported, non-leading, and focused on clarifying documentation for correct reporting and medical necessity—without directing the provider to “add” diagnoses or document conditions for payment purposes. Option A presents relevant clinical context (no GI symptoms; family history) and asks the provider to clarify whether the planned colonoscopy is screening or diagnostic, which is a legitimate documentation clarification affecting correct code selection and coverage rules. It does not imply a desired answer and does not instruct the provider to document additional diagnoses. Option B is problematic because it instructs the provider to “document these conditions” if treated, which can be perceived as prompting and is not tied to encounter-specific indicators. Option C is based primarily on historical information and asks a yes/no about remission, which can be leading and may not reflect current-visit evaluation. Option D effectively asks the provider to add a diagnosis based on nursing documentation, which risks leading language and requires provider confirmation and assessment. Therefore, A is most compliant.

In the CMS-HCC risk adjustment framework, the HCC average score reflects the coded burden of illness for the provider’s attributed panel, driven by documented, reportable conditions that map to HCCs and qualifying demographic factors. If a provider appears “high cost” based on total claims but the panel’s average HCC score is low, the most common CDI interpretation is documentation/coding under-capture: the clinical complexity driving utilization is not being fully documented and coded to HCC-relevant diagnoses. This creates a mismatch—actual resource use is high, but the recorded risk profile is artificially low—leading to unfavorable benchmarking because costs are compared against an expected spend that is too low for the true acuity. Option A would typically raise HCC scores, not lower them. Option C could explain both low HCC and low cost; it conflicts with the high-cost finding. Option D misunderstands HCC mechanics: “unspecified” does not reliably increase HCC capture and often reduces coding specificity/validity rather than improving risk adjustment. Therefore, incomplete capture of relevant diagnoses is the most likely driver.

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.