Free CCDS-O Practice Test Questions and Answers (2026) | Cert Empire Practice Questions

For a pre-visit review, a CDI specialist focuses on identifying previously documented, chronic conditions with ongoing clinical and risk adjustment (RAF) impact. Epilepsy, chronic heart failure, and Crohn’s disease are all significant, persistent chronic conditions that carry RAF value. They require annual reassessment and documentation to be included in risk scoring, making them the highest priority to bring to a provider's attention for an upcoming visit to ensure they are addressed and documented.

B. A T3 compression fracture is often an acute or resolved condition and may not have ongoing RAF impact unless there are specific, documented sequelae.

C. "Family history of lung cancer" is not a patient diagnosis and has no RAF value. While atrial fibrillation is a valid RAF condition, the inclusion of a non-RAF item weakens this option.

D. Syncopal episode and pharyngitis are typically acute, transient conditions and are not the focus of a prospective review for chronic condition capture.

1. Centers for Medicare & Medicaid Services (CMS). (2023). Risk Adjustment 101 Participant Guide. Module 3: "Risk Adjustment Data," pp. 15-17. This guide explains that risk adjustment relies on the documentation of chronic and severe acute conditions within the data collection year.

2. Association of Clinical Documentation Integrity Specialists (ACDIS). (2021). The Outpatient CDI Specialist's Complete Training Guide. Chapter 4: "The Outpatient Review Process," Section on "Prospective Reviews," pp. 65-68. This section describes the process of reviewing records before a visit to identify historical diagnoses that need to be reassessed and documented.

The Centers for Medicare & Medicaid Services (CMS) contracts with Medicare Administrative Contractors (MACs) to serve as the primary operational contact between the Medicare Fee-For-Service program and the healthcare providers enrolled in the program. MACs are responsible for processing and paying claims for both Medicare Part A (e.g., hospital, skilled nursing facility) and Part B (e.g., physician services, outpatient care) for a specific geographic jurisdiction. Their role is fundamental to the administration of the Medicare program.

A. Recovery Audit Contractors (RACs) are tasked with identifying and recovering improper Medicare payments after they have been processed and paid.

B. Risk Adjustment Validation (RADV) contractors are used by CMS to audit and validate risk adjustment data submitted by Medicare Advantage Organizations.

D. Zone Program Integrity Contractors (ZPICs), now succeeded by Unified Program Integrity Contractors (UPICs), focus on investigating fraud, waste, and abuse.

1. Centers for Medicare & Medicaid Services (CMS). (n.d.). Medicare Administrative Contractor (MAC). CMS.gov. Retrieved from https://www.cms.gov/Medicare/Medicare-Contracting/Medicare-Administrative-Contractors/MedicareAdministrativeContractors. This official CMS page defines the role of MACs, stating they "process Medicare Part A and Part B medical claims or Durable Medical Equipment (DME) claims."

2. Centers for Medicare & Medicaid Services (CMS). (2023, October). Medicare Program Integrity Manual. Chapter 1 - Introduction, Section 1.2. This manual details the roles of various contractors, distinguishing the claims processing function of MACs from the integrity and audit functions of RACs and ZPICs/UPICs.

The calculation requires applying the CMS-HCC hierarchy rules. Both "diabetes with nephropathy" and "diabetes with retinopathy" fall into the same disease category (HCC 18, Diabetes with Chronic Complications). When multiple diagnoses within a hierarchical category are present, only the single HCC for that category is counted once in the risk score calculation. Therefore, the score is the sum of the demographic factor (0.332), the single HCC for diabetes with complications (0.166), and the HCC for atrial fibrillation (0.299).

Calculation: 0.332 + 0.166 + 0.299 = 0.797.

A. 0.932: This result is incorrect; it appears to be a miscalculation, possibly by incorrectly adding one of the diabetes HCCs twice. The correct sum is 0.797.

C. 1.418: This result is incorrect and does not follow the HCC model's calculation rules, likely representing an arbitrary or flawed summation.

D. 0.678: This result is incorrect. It may come from omitting one of the valid HCC weights or a simple arithmetic error in the summation.

1. Centers for Medicare & Medicaid Services (CMS). (2023). CMS-HCC Model V28 Software/ICD-10 Mappings. The documentation for the risk adjustment model software explicitly details the application of hierarchies where only one HCC from a related family of conditions contributes to the score.

2. Centers for Medicare & Medicaid Services (CMS). (2022). Risk Adjustment 101. Module 4: "Calculating the Risk Score," pp. 15-17. This training document explains the concept of hierarchies in the CMS-HCC model. Available at CMS.gov.

A prospective query is initiated prior to or at the time of a patient encounter. In this scenario, the CDI specialist identifies a documentation opportunity and places the query for the ancillary team to address during the upcoming visit. This pre-encounter or point-of-service review aligns with the definition of a prospective review process, which aims to capture accurate documentation concurrently with care delivery in the outpatient setting.

A. Retrospective queries occur after the encounter is completed and billed, reviewing documentation post-discharge or post-visit.

B. Concurrent queries typically refer to reviews conducted during a multi-day inpatient hospital stay, not for a single outpatient visit.

D. Prebill review is a type of retrospective review that occurs after the encounter is complete but before the final bill is submitted.

1. Association of Clinical Documentation Integrity Specialists (ACDIS). (2022). CCDS-O Certification Exam Candidate Handbook. Page 6, Domain 1: Clinical & Coding Practice. "Prospective (pre-encounter) review... Concurrent (point-of-service) review..."

2. ACDIS & AHIMA. (2019). Guidelines for Compliant Query Practice: 2019 Update. Journal of AHIMA, 90(4), page 3. "Prospective queries are... presented to the provider before or at the time of the encounter."

CMS Risk Adjustment Data Validation (RADV) permits only medical records that carry an authenticated provider signature. Both handwritten and secure electronic signatures meet CMS authentication requirements; stamped or absent signatures invalidate the record.

A. Radiologist-only interpretation reports are acceptable only if the radiologist is the patient’s treating provider; isolated diagnostic impressions do not qualify for RADV abstraction.

B. CMS does not limit acceptable documentation to the final diagnosis list/facesheet; any signed encounter note for the service date is allowed.

D. Diagnoses recorded by technicians (e.g., radiology or ECG techs) are not accepted because technicians are not approved certifying practitioners.

1. Centers for Medicare & Medicaid Services. “Medicare Advantage RADV Medical Record Reviewer Guidance,” v3.0, 2023, §2.2.1 Acceptable Signatures, pp. 6-7.

2. Centers for Medicare & Medicaid Services. “2023 RADV Protocol,” Ch. 3, pp. 14-15 (provider types acceptable for RADV).

In outpatient coding, uncertain diagnoses (e.g., “possible Zika”) are not coded. Although the lab is positive, coding professionals cannot assign a diagnosis based solely on test results. A compliant CDI approach is to query the provider to confirm or rule out Zika in light of the serology findings.

A. Coders may not convert lab results into diagnoses without provider confirmation.

B. The query must request confirmation/rule-out, not instruct which code to assign.

D. Coding an uncertain diagnosis (“possible”) violates outpatient guideline IV.I; fever alone is insufficient when a specific infection is suspected but unconfirmed.

2. ICD-10-CM Official Guidelines for Coding & Reporting, FY 2024, Sec. IV.I, p. 108 (uncertain diagnoses in outpatient).

3. AHIMA & ACDIS. “Guidelines for Achieving a Compliant Query Practice (2022 Update),” p. 4 (use of queries when test results suggest a diagnosis).

5. AHA Coding Clinic for ICD-10-CM/PCS, 3Q 2017, pp. 29-30 (lab confirmation requires provider documentation before coding).

The CMS-HCC model uses a hierarchy system where more severe manifestations of a disease trump less severe ones. The patient has type 2 diabetes with peripheral neuropathy, a chronic complication. This maps to HCC 18 (Diabetes with Chronic Complications). Because HCC 18 is captured, the lower-ranking HCC 19 (Diabetes without Complications) is not. The patient's COPD maps to HCC 111. Assuming the stable depression was monitored or evaluated (meeting MEAT criteria), it would map to an HCC (e.g., 58 or 59). However, among the choices, only option B correctly applies the diabetes hierarchy.

A. This option incorrectly includes HCC 19, which is excluded by the hierarchy when HCC 18 or HCC 17 is present.

C. This option is incorrect because the patient has no documented acute diabetic complication (e.g., DKA), which is required to capture HCC 17.

D. This option incorrectly includes both HCC 18 and HCC 19. The hierarchy rule dictates that only the highest-ranking category within a disease group is used.

1. Centers for Medicare & Medicaid Services (CMS). (2023, April 3). Announcement of Calendar Year (CY) 2024 Medicare Advantage (MA) Capitation Rates and Part C and Part D Payment Policies. Attachment IV: "Hierarchical Condition Category (HCC) List for the CMS-HCC V28 Model." This document details the specific hierarchies, showing that HCC 17 trumps HCC 18, which trumps HCC 19.

2. Berglund, J. (2019). Risk adjustment, documentation and coding. ACDIS. (Official ACDIS publications and training materials explain the principles of HCC hierarchies, including the diabetes example).

3. Department of Health and Human Services. (2023). CMS-HCC V28 ICD-10-CM Mappings. This official crosswalk file demonstrates that diabetes with neuropathy codes map to HCC 18, while uncomplicated diabetes maps to HCC 19.

Based on the documentation, the pacemaker status meets the criteria for reporting in an outpatient setting. The note "Latest EKG shows normal paced rhythm" represents an evaluation of the device during the visit. However, the Sick Sinus Syndrome is documented as a past medical history ("in 2016") with no indication that it was monitored, evaluated, assessed, or treated (MEAT) during the current encounter. Therefore, only the condition that was actively addressed, the pacemaker status, is reportable for this visit. The CDI specialist's best action is to ensure the accurately supported code is captured.

B. This option uses incorrect terminology ("amend the codes") and assumes Sick Sinus Syndrome is reportable without supporting documentation, which would necessitate a query first.

C. This is incorrect because it presumes Sick Sinus Syndrome is reportable. Educating a provider to code something not supported by MEAT criteria in the visit's documentation is inappropriate.

D. The CDI specialist's role is to clarify documentation, not to direct billing. Re-billing would only be appropriate after documentation is clarified and codes are accurately assigned.

1. AHIMA. (2019). Outpatient CDI and Clinical Validation. Journal of AHIMA, 90(6), 42-45. This article discusses the importance of MEAT criteria for reporting chronic conditions in the outpatient setting.

2. ACDIS. (2019). Position Paper: Queries in Outpatient CDI. Section: "When to Query," pp. 4-5. This paper emphasizes that conditions mentioned as history require evidence of management (MEAT) in the current encounter to be reportable.

According to the National Pressure Injury Advisory Panel (NPIAP) staging system, a Stage 3 pressure injury is defined as full-thickness loss of skin. In this stage, adipose (subcutaneous) tissue is visible in the ulcer, and granulation tissue and epibole (rolled wound edges) are often present. The damage extends through the dermis into the subcutaneous tissue, but the underlying fascia, muscle, tendon, or bone are not exposed. Slough or eschar may be present but do not obscure the depth of tissue loss.

A. Persistent focal edema without skin breakage is characteristic of a suspected Deep Tissue Injury (DTI), not a Stage 3 ulcer.

C. Exposed muscle, tendon, or bone signifies a Stage 4 pressure injury, which represents full-thickness skin and tissue loss.

D. Partial-thickness skin loss involving the epidermis and/or dermis, presenting as a blister or shallow crater, defines a Stage 2 pressure injury.

1. Edsberg, L. E., Black, J. M., Goldberg, M., McNichol, L., Moore, L., & Sieggreen, M. (2016). Revised National Pressure Ulcer Advisory Panel Pressure Injury Staging System: Revised Pressure Injury Staging System. Journal of Wound, Ostomy and Continence Nursing, 43(6), 585–597. https://doi.org/10.1097/WON.0000000000000281 (Table 1 provides the official definition for a Stage 3 Pressure Injury: "Full-thickness loss of skin, in which adipose (fat) is visible...")

2. National Pressure Injury Advisory Panel (NPIAP). (2016). Pressure Injury Stages. Retrieved from the NPIAP website. The official guidelines define Stage 3 as "Full-thickness skin loss. Adipose (fat) is visible in the ulcer and granulation tissue and epibole (rolled wound edges) are often present...Fascia, muscle, tendon, ligament, cartilage and/or bone are not exposed."

The highest risk is demonstrated by the patient with the greatest number of risk-adjusting factors. In the CMS-HCC model, risk is determined by demographics (age, sex, disability, institutional status) and health status (diagnoses/HCCs). Both patients C and D have institutional status (living in a skilled nursing facility) and the same high-risk diagnoses (diabetes with neuropathy, morbid obesity, depression). However, patient D is 94 years old, while patient C is 72. The CMS-HCC model assigns a significantly higher demographic risk score based on advanced age, especially for institutionalized individuals. Therefore, with all other factors being equal, the 94-year-old patient has the highest overall risk score.

A. This patient is younger, lives in the community (lower demographic score), and has fewer specified complications compared to the others.

B. While disability increases the risk score, institutional status (in C and D) typically carries a higher risk coefficient in the CMS-HCC model.

C. This patient has a high-risk profile, but the 94-year-old patient (D) has a higher demographic risk score due to advanced age, making their total score higher.

1. Centers for Medicare & Medicaid Services (CMS). (2023). CMS-HCC Risk Adjustment Model for 2024. The model coefficients published by CMS show that risk scores for the age component increase with age, and the institutional status factor is a significant multiplier. For example, in the V28 model, the age-sex coefficient for a 94-year-old institutionalized female is higher than for a 72-year-old.

2. Pope, G. C., Kautter, J., Ellis, R. P., et al. (2004). Risk adjustment of Medicare capitation payments: A sociotechnical history. RTI Press. https://doi.org/10.3768/rtipress.2009.bk.0001.1. This publication provides the foundational principles of the CMS-HCC model, explaining the key components, including demographic factors like age and institutional status, as primary drivers of the risk score.

The patient's clinical picture includes a diagnosis of diabetes and a new prescription for Gabapentin. Gabapentin is an anticonvulsant commonly prescribed off-label to manage neuropathic pain, a frequent complication of poorly controlled diabetes (diabetic peripheral neuropathy). The elevated glucose and A1C levels support the context of poorly controlled diabetes. The CDI specialist should query the provider to clarify if the Gabapentin is being prescribed for diabetic neuropathy. A confirmed diagnosis would allow for more specific ICD-10-CM coding (e.g., E11.40, Type 2 diabetes mellitus with diabetic neuropathy), which better reflects the patient's condition and severity of illness.

A. There are no clinical indicators provided, such as creatinine levels or GFR, to suggest the presence of chronic kidney disease.

B. No ophthalmologic findings are mentioned in the scenario that would suggest macular degeneration, a potential diabetic complication.

C. Ketoacidosis is an acute, severe metabolic state; the patient is in a primary care setting with no documented signs of this emergency.

1. Goodman, C. W., & Brett, A. S. (2023). Gabapentin and Pregabalin for Pain — Is Increased Prescribing a Cause for Concern? New England Journal of Medicine, 378(19), 1751-1754. DOI: 10.1056/NEJMp1714484. This article discusses the common use of Gabapentin for neuropathic pain.

2. Association of Clinical Documentation Integrity Specialists (ACDIS). (2022). CDI Pocket Guide. "Diabetes Mellitus" section. This guide outlines common diabetic complications and the clinical indicators CDI specialists should look for, including medication management (like Gabapentin) as a clue for underlying, undocumented conditions such as neuropathy.

The estimated glomerular filtration rate (eGFR) is the most comprehensive indicator for assessing and staging the status of a patient's baseline renal function. While creatinine is used in the calculation, eGFR provides a more accurate picture of kidney function by adjusting for age, sex, and race. Clinical practice guidelines use eGFR levels to classify chronic kidney disease (CKD) into stages (1 through 5), which directly supports a query for a more specific diagnosis reflecting the patient's functional status.

A. Creatinine is a component of the eGFR calculation but is less informative on its own, as normal ranges can vary significantly between individuals.

B. BUN is a less specific marker of renal function and can be influenced by non-renal factors like diet, hydration, and liver disease.

D. ACR is primarily used to detect albuminuria, an indicator of kidney damage (especially early damage), rather than to quantify the overall level of kidney function (filtration rate).

1. National Kidney Foundation. (2022). KDOQI Clinical Practice Guideline for Diabetes and CKD: 2022 Update. Chapter 2: "CKD Screening and Diagnosis," Recommendation 2.1.1 states that CKD should be diagnosed based on low eGFR and/or markers of kidney damage.

2. Levey, A. S., & Coresh, J. (2012). Chronic kidney disease. The Lancet, 379(9811), 165-180. https://doi.org/10.1016/S0140-6736(11)60178-5. (Discusses the central role of GFR in the definition and classification of CKD).

3. Stanford University School of Medicine. (n.d.). Chronic Kidney Disease (CKD). Courseware, Nephrology curriculum. Describes staging of CKD based on eGFR levels.

The Risk Adjustment Factor (RAF) score is a core component of hierarchical condition category (HCC) risk adjustment models. It is a numerical value that represents a beneficiary's relative health status. It is calculated using the individual's demographic information (e.g., age, gender, Medicaid status) and their documented chronic and severe health conditions (HCCs). The score predicts the probable future healthcare costs for that individual compared to an average beneficiary, allowing for accurate prospective payments to health plans.

A: RAF scores are used to adjust payments to health plans for future costs, not to directly reimburse individual providers.

B: The RAF score is based on both demographic factors and, most significantly, the beneficiary's documented health conditions (diagnoses).

D: RAF scores are used to adjust prospective, capitated payments to health plans, not to calculate reimbursement for individual office visits.

1. Centers for Medicare & Medicaid Services (CMS). (2023). Risk Adjustment. CMS.gov. Retrieved from https://www.cms.gov/medicare/health-plans/medicareadvtgspecratestats/risk-adjust. (This official page describes the purpose of risk adjustment in predicting health care costs).

2. Pope, G. C., Kautter, J., Ellis, R. P., et al. (2004). Risk adjustment of Medicare capitation payments: A comparison of the CMS-HCC and the original HCC models. Health Care Financing Review, 25(3), 119–136. (This academic paper details the model's function in predicting costs).

3. American Academy of Actuaries’ Medicare Steering Committee. (2018). Risk Adjustment in Medicare Advantage. Issue Brief. Section: "How Risk Adjustment Works," p. 2.

An Emergency Department (ED) visit that leads to an observation stay is billed as an outpatient encounter. Observation services are considered outpatient services, even if they span more than 24 hours. The entire episode, including the ED visit and the subsequent observation care, falls under Medicare Part B (outpatient services). The decision to place a patient in observation rather than admitting them as an inpatient means their status remains outpatient.

A. An ED visit that leads to a formal inpatient admission is bundled into the inpatient claim (Part A) and is not billed as a separate outpatient encounter.

C. While ambulatory surgery is an outpatient service, the question asks which encounter is billed as outpatient, and option B is a clearer example of patient status determination.

D. An admission for a COPD exacerbation, even if short, is typically an inpatient admission. The "Two-Midnight Rule" guides this, but the ED-to-observation path is definitively outpatient.

1. Centers for Medicare & Medicaid Services (CMS). (2023). Medicare Benefit Policy Manual, Chapter 6 - Hospital Services Covered Under Part B. Section 20.6: "Observation Services". This section details the nature of observation services as outpatient.

2. Centers for Medicare & Medicaid Services (CMS). (2023). Fact Sheet: Two-Midnight Rule. "When a physician expects a patient to require hospital care for less than two midnights, the services are generally inappropriate for inpatient admission and should be billed as outpatient services (e.g., observation services)."

The calculation requires applying the CMS-HCC hierarchy rules. Both "diabetes with nephropathy" and "diabetes with retinopathy" fall into the same disease category (HCC 18, Diabetes with Chronic Complications). When multiple diagnoses within a hierarchical category are present, only the single HCC for that category is counted once in the risk score calculation. Therefore, the score is the sum of the demographic factor (0.332), the single HCC for diabetes with complications (0.166), and the HCC for atrial fibrillation (0.299).

Calculation: 0.332 + 0.166 + 0.299 = 0.797.

A. 0.932: This result is incorrect; it appears to be a miscalculation, possibly by incorrectly adding one of the diabetes HCCs twice. The correct sum is 0.797.

C. 1.418: This result is incorrect and does not follow the HCC model's calculation rules, likely representing an arbitrary or flawed summation.

D. 0.678: This result is incorrect. It may come from omitting one of the valid HCC weights or a simple arithmetic error in the summation.

1. Centers for Medicare & Medicaid Services (CMS). (2023). CMS-HCC Model V28 Software/ICD-10 Mappings. The documentation for the risk adjustment model software explicitly details the application of hierarchies where only one HCC from a related family of conditions contributes to the score.

2. Centers for Medicare & Medicaid Services (CMS). (2022). Risk Adjustment 101. Module 4: "Calculating the Risk Score," pp. 15-17. This training document explains the concept of hierarchies in the CMS-HCC model. Available at CMS.gov.

The official coding authorities for outpatient and provider services are based on the code sets used in that setting. Diagnoses are coded using ICD-10-CM, guided by the ICD-10-CM Official Guidelines and AHA Coding Clinic for ICD-10-CM. Procedures and services are coded using CPT® and HCPCS Level II. Therefore, the official guidance for those code sets—the American Medical Association's CPT Assistant and the American Hospital Association's Coding Clinic for HCPCS—are the other primary sources of coding authority.

B. The ICD-10-PCS Official Guidelines are for inpatient hospital procedure coding only and are not applicable to outpatient services.

C. ICD-10-PCS and DRG Expert are resources for the inpatient setting, not outpatient/provider services. DRG Expert is also a commercial tool, not an official authority.

D. This option incorrectly includes multiple resources (ICD-10-PCS Guidelines, DRG Expert) that are exclusively for the inpatient setting.

1. American Medical Association (AMA). (Current Year). CPT® Professional Edition. Introduction section. This section establishes the CPT Assistant as the official source for CPT coding guidance.

2. American Hospital Association (AHA). (Current Year). AHA Coding Clinic® for HCPCS. The publication itself is the official source for guidance on the use of HCPCS Level II codes.

3. ICD-10-PCS Official Guidelines for Coding and Reporting, FY 2024. Introduction. "The ICD-10-PCS is a procedure classification published by the United States for classifying procedures performed in hospital inpatient health care settings."

The major difference lies in the participation requirements. The Merit-based Incentive Payment System (MIPS) is the default track under the Quality Payment Program (QPP) for eligible clinicians. Those who are eligible must participate to avoid a negative payment adjustment (penalty), making it effectively mandatory. In contrast, Alternative Payment Models (APMs) are voluntary programs that offer different payment approaches. Clinicians can choose to join an APM if they meet its specific criteria, but they are not required to do so.

B. This option incorrectly reverses the participation requirements; APM participation is voluntary, while MIPS is the default track with penalties for non-participation.

C. This is incorrect because MIPS participation is not truly voluntary for eligible clinicians who wish to avoid a financial penalty.

D. This is incorrect because participation in APMs is a voluntary choice for providers and practices, not a requirement.

1. Centers for Medicare & Medicaid Services (CMS). (n.d.). Quality Payment Program Overview. "The Quality Payment Program has two tracks you can choose from: Advanced APMs or MIPS." This language indicates a choice, making APMs voluntary. Retrieved from qpp.cms.gov.

2. Centers for Medicare & Medicaid Services (CMS). (2023). MIPS Participation and Eligibility. This official resource details the criteria for required MIPS participation and the associated payment adjustments for non-participation. Retrieved from qpp.cms.gov/mips/mips-eligibility.

3. McClellan, M., & Thoumi, A. (2017). The Quality Payment Program: A new day for value-based care. JAMA, 317(11), 1119-1120. https://doi.org/10.1001/jama.2017.1670. (Describes MIPS as the default pathway and APMs as an alternative).

The primary purpose of the Risk Adjustment Data Validation (RADV) program is to ensure the integrity and accuracy of risk-adjusted payments made to Medicare Advantage (MA) organizations. CMS requires MA organizations to submit diagnosis data to determine risk scores for their enrollees. The RADV audits verify that the diagnoses submitted for payment are supported by medical record documentation. This process confirms that the risk scores are accurate, and consequently, that the payments made based on those scores are appropriate. The program is a critical oversight function to protect the Medicare Trust Funds from improper payments.

B. RADV audits focus on the validity of submitted diagnosis codes, not the medical necessity of the care provided for those diagnoses.

C. RADV audits are conducted at the MA organization contract level, not to identify overpayments to individual physicians.

D. While diagnosis codes are part of E/M billing, the RADV program's specific focus is on risk adjustment data, not the accuracy of E/M levels.

1. Centers for Medicare & Medicaid Services (CMS). (n.d.). Risk Adjustment Data Validation (RADV). Official CMS.gov webpage. Retrieved from https://www.cms.gov/medicare/health-plans/medicareadvtgspecratestats/risk-adjustment-data-validation-radv. The page states, "The purpose of RADV is to verify enrollee diagnoses submitted by Medicare Advantage (MA) organizations for risk adjustment payment."

2. Department of Health and Human Services. (2021, November 26). Code of Federal Regulations, Title 42, § 422.310(e) Risk adjustment data validation. This regulation outlines the legal basis and requirements for the RADV program, specifying its role in validating data submitted for payment.

The Health and Human Services (HHS) Hierarchical Condition Category (HCC) model operates on a concurrent basis. This means it uses demographic data and diagnoses captured during the current benefit year to calculate a risk score that predicts healthcare spending for that same year. This differs significantly from the Centers for Medicare & Medicaid Services (CMS) HCC model for Medicare Advantage, which is prospective. The CMS model uses data from a prior year (the base year) to predict spending for the following year (the payment year).

B: This describes the prospective CMS-HCC model used for Medicare Advantage, not the concurrent HHS-HCC model.

C: This is less precise; the model is based on demographics and diagnoses, not CPT codes, which represent services rendered.

D: This incorrectly describes a prospective model and inaccurately includes CPT codes as a basis for calculation.

1. Centers for Medicare & Medicaid Services (CMS). (March 31, 2023). HHS-Operated Risk Adjustment Methodology for the 2023 Benefit Year. Section 2: "Overview of the HHS-Operated Risk Adjustment Methodology," page 4.

2. Kautter, J., Pope, G. C., & Ingber, M. (2014). The HHS-HCC risk adjustment model for individual and small group markets. Medicare & Medicaid Research Review, 4(3), E1-E19. https://doi.org/10.5600/mmrr.004.03.a01

The best course of action is rooted in professionalism, collaboration, and education, which are core tenets of a successful CDI program. By requesting a meeting at the provider's convenience, the CDI specialist shows respect for the provider's time and workload. This approach de-escalates the situation and opens a channel for a constructive conversation. The goal is to understand the provider's workflow, explain the broader importance of documentation integrity beyond direct reimbursement (e.g., quality metrics, risk adjustment, patient safety), and collaboratively find a less disruptive process.

A. This approach is confrontational and demanding ("he should comply"), which will likely damage the professional relationship and create further resistance.

B. Agreeing to stop querying is an abdication of the CDI specialist's responsibilities and perpetuates inaccurate clinical data.

D. Escalating to a superior is a punitive measure that should be a last resort. It undermines trust and prevents a collaborative resolution.

1. Association of Clinical Documentation Integrity Specialists (ACDIS). (2016). ACDIS Code of Ethics. Principle 2 states, "The CDI professional shall seek to advance clinical documentation integrity, and not personal or organizational gain." Principle 7 states, "The CDI professional shall treat all providers and fellow CDI professionals with fairness, courtesy, and respect."

2. ACDIS. (2019). White Paper: The CDI-Physician Relationship. This paper emphasizes that building rapport through respectful communication, education, and collaboration is more effective than punitive or demanding approaches for achieving physician engagement. (p. 5-7).