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| Certification Vendor: | ACDIS |
|---|---|
| Exam Name: | Certified Clinical Documentation Specialist-Outpatient (CCDS-O) Exam |
| Exam Number: | CCDS-O |
| Related Certifications: | Certified Clinical Documentation Specialist (CCDS) |
| Exam Duration: | 150 minutes |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 140 (120 scored, 20 unscored) |
| Exam Price: | $280 (ACDIS members), $380 (non-members), +$100 international fee |
| Available Languages: | English |
| Exam Format: | Remotely proctored or test center delivery, Multiple-choice questions, Computer-based |
| Passing Score: | 85 out of 120 scored questions |
| Recommended Training: | CCDS-O Official Study Guide CCDS-O Exam Candidate Handbook |
| Exam Registration: | ACDIS Certification Application Prometric Scheduling |
| Sample Questions: | ACDIS CCDS-O Sample Questions |
| Exam Way: | Computer-based testing at Prometric centers or remote proctoring via ProProctor |
| Pre Condition: | RN, MD, DO, or HIM/coding certification (RHIA, RHIT, CCS, CPC, CRC, COC) + 2 years outpatient CDI experience; OR 1 year outpatient + 1 year inpatient CDI experience; minimum 2,000 hours per year |
| Official Syllabus URL: | https://acdis.org/certification/ccds-o |
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NEW QUESTION # 129
Which of the following conditions or findings supports a diagnosis of diabetes?
Answer: A
Explanation:
In outpatient clinical documentation and chart review, diabetes can be supported by recognized diagnostic thresholds. An HbA1c value reflects average blood glucose over approximately the prior 2-3 months and is commonly used to diagnose and monitor diabetes. An HbA1c ≥ 6.5% (when confirmed per clinical practice standards and interpreted in the appropriate clinical context) supports a diagnosis of diabetes; therefore an HbA1c of 7.0% clearly meets the threshold and supports diabetes. By comparison, a 2-hour OGTT value of 90 mg/dL is normal and does not support diabetes (diabetes is typically supported when the 2-hour value is ≥ 200 mg/dL). Hypoglycemia is low blood glucose and is not diagnostic of diabetes; it may occur in diabetics due to treatment but can also occur in non-diabetics for many reasons. A fasting glucose of 100 mg/dL is at most borderline/prediabetes range and does not meet diagnostic criteria for diabetes (diabetes is supported at ≥ 126 mg/dL).
NEW QUESTION # 130
When reviewing physician metrics, a CDI specialist notes upward trends in the use of unspecified diagnoses. Which of the following diagnoses provides the BEST opportunity to positively influence the providers' RAF score in the CMS-HCC model?
Answer: D
Explanation:
In CMS-HCC risk adjustment, RAF impact comes from reporting qualifying chronic diseases (HCCs), not from nonspecific symptom-only documentation. "Angina pectoris, unspecified" is frequently a symptom-level statement and, by itself, often does not carry the same risk-adjustment weight as documenting and coding the underlying ischemic heart disease responsible for the angina (for example, coronary artery disease/atherosclerotic heart disease with angina). Ambulatory CDI practice emphasizes that when providers document only "angina," coders may be limited to a symptom code, which can under-represent the patient's true disease burden in the HCC model. This makes angina an excellent target for provider education: clarify whether the angina is due to CAD, whether CAD is present and being managed, and whether there are related manifestations (e.g., unstable angina, prior MI history, status post CABG/stent) that support more complete, clinically accurate reporting. By improving documentation linkage from symptom (angina) to the definitive chronic condition (CAD with angina), the provider can more reliably capture an HCC-relevant diagnosis and positively influence RAF accuracy.
NEW QUESTION # 131
Provider documentation states: "Type 2 Diabetes with bilateral peripheral arteriosclerotic disease of LE. Bilateral pedal pulses present. Review Hgb A1C and CBC. No change in treatment. Hypertension evaluated and well controlled on Lopressor." Which of the following conditions should be coded?
Answer: B
Explanation:
The documentation explicitly links the conditions by stating "Type 2 Diabetes with bilateral peripheral arteriosclerotic disease of LE," which supports a diabetic circulatory manifestation rather than "diabetes without complications." In outpatient CDI chart review, the word "with" and clear provider linkage allow coding of diabetes "with peripheral angiopathy" (a diabetes complication category) when peripheral arterial/arteriosclerotic disease is documented as associated. In addition, best practice is to code both the diabetes complication category and the specific manifestation when supported, because the manifestation (atherosclerosis of the lower extremities, bilateral) further describes the clinical condition being evaluated. Hypertension is also evaluated and managed ("well controlled on Lopressor"), meeting outpatient reporting expectations for an active condition addressed during the encounter. Option D is incorrect because it double-counts the same concept-peripheral angiopathy already represents a circulatory complication, so adding a separate "diabetes with circulatory complication" statement is redundant rather than additive. Therefore, the correct coding set includes diabetes with peripheral angiopathy, the bilateral lower-extremity atherosclerosis manifestation, and hypertension.
NEW QUESTION # 132
A 75-year-old with a PMH of chronic foot ulcer, CKD, and depression is seen by his PCP for continued fatigue and decreased urination. Labs drawn on previous day are reviewed. Patient describes extreme fatigue and no motivation. Assessment and plan include: "CKD 3 with renal failure - refer to nephrologist. Chronic nonpressure foot ulcer - home care for wound assessment. Depression - Rx for SSRI." Which of the following are the validated diagnoses that risk adjust and qualify as CMS-HCCs?
Answer: D
Explanation:
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.
NEW QUESTION # 133
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: D
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 # 134
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