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.