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| Section | Weight | Objectives |
|---|---|---|
| Clinical Documentation Review & Query Practices | 20% | - Query development, communication, and ethical standards - Concurrent and retrospective chart review methodologies - Documentation gap identification and resolution |
| CDI Program Management & Professional Practice | 15% | - Program metrics, benchmarks, and performance measurement - Ethics, HIPAA, and professional conduct - Provider education and training strategies |
| Healthcare Regulations, Reimbursement & Documentation Requirements – IPPS | 15% | - Medicare Severity Diagnostic Related Groups (MS-DRGs) - Documentation responsibilities of medical and clinical staff - Inpatient Prospective Payment System (IPPS) fundamentals |
| Quality, Risk Adjustment & Health Initiatives | 15% | - Risk adjustment models and documentation impact - Quality reporting, public reporting, and compliance programs - Severity of Illness (SOI) / Risk of Mortality (ROM) |
| Clinical Knowledge & Disease Processes Application | 20% | - Medical terminology, anatomy, physiology, pathophysiology - Disease processes across body systems applied to chart review - Clinical indicators, lab results, medications, diagnostic findings |
| Coding Guidelines & Official Reporting Standards | 15% | - Coding integrity and compliant documentation practices - ICD-10-CM/PCS Official Guidelines for Coding and Reporting - AHIMA/ACDIS Guidelines for Compliant Query Practice |
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NEW QUESTION # 98
The attending physician documents "severe protein-calorie malnutrition." The dietitian's assessment documents normal nutritional intake, stable body weight, no fat loss, and no muscle wasting. What should the CDI specialist do?
Answer: A
Explanation:
This is an appropriate clinical validation query because the provider has documented a diagnosis while the available clinical information appears inconsistent with that diagnosis.
The CDI specialist should not automatically accept every documented diagnosis when substantial contradictory clinical evidence exists. Conversely, CDI cannot independently delete the physician's diagnosis or replace the physician's clinical judgment.
The query should objectively identify the documented severe malnutrition and relevant contradictory findings-for example, stable weight, adequate nutritional intake, and absence of documented muscle or fat loss-and ask the provider to clarify whether severe malnutrition remains clinically appropriate, whether another nutritional condition better describes the patient, whether the diagnosis has been ruled out, or whether additional clinical reasoning supports it.
The query must remain neutral and should not mention the MCC status or potential reimbursement effect of severe malnutrition.
The August 2026 ACDIS/AHIMA compliant-query guidance supersedes previous editions and is the current foundational standard for compliant documentation clarification.
CCDS Reference Topics: Clinical validation; malnutrition; conflicting clinical indicators; compliant queries; documentation integrity.
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NEW QUESTION # 99
A physician documents obesity. A registered dietitian records a BMI of 38.4 kg/m². Which statement is MOST accurate?
Answer: A
Explanation:
BMI is one of the recognized ICD-10-CM non-provider documentation exceptions. A qualified clinician such as a registered dietitian may document the BMI value, while the associated diagnosis-such as overweight or obesity-must be appropriately documented by the responsible provider.
Therefore, the coder may use the documented BMI of 38.4 in conjunction with the provider's obesity diagnosis when reporting requirements are otherwise satisfied.
The BMI itself does not permit the coder or CDI specialist to independently diagnose obesity or determine obesity type. Clinical diagnosis remains the provider's responsibility.
This distinction prevents unnecessary physician queries merely to reproduce objective measurements that have already been reliably documented by another qualified clinician.
Comparable non-provider documentation exceptions include pressure-ulcer stage and certain standardized scales or clinical details under applicable ICD-10-CM guidance.
CDI specialists should know these exceptions because unnecessary queries increase provider burden and can delay coding without improving data quality. Conversely, they should not extend the exception beyond what ICD-10-CM permits.
CCDS Reference Topics: BMI; obesity; non-provider documentation; dietitian documentation; coding exceptions.
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NEW QUESTION # 100
A hospital's mortality report shows 125 observed deaths and 100 expected deaths. The observed-to-expected mortality ratio is 1.25. Which interpretation is MOST accurate?
Answer: D
Explanation:
An observed-to-expected mortality ratio is calculated by dividing observed deaths by expected deaths. Here,
125 divided by 100 equals 1.25. Therefore, observed deaths are 25% higher than the number predicted by the risk-adjustment model.
A ratio of 1.0 indicates observed mortality equals expected mortality. A value below 1.0 indicates fewer observed deaths than predicted, while a value above 1.0 indicates more observed deaths than predicted.
The CDI implication is important. Expected mortality is influenced by the patient's documented disease burden and other variables used by the applicable risk-adjustment methodology. If clinically significant conditions are underdocumented, the coded record may fail to represent the patient's actual severity, potentially reducing calculated expected mortality.
However, CDI should never seek diagnoses solely to improve a mortality ratio. Each diagnosis must be clinically supported and accurately documented. A high ratio can reflect multiple factors-including clinical outcomes, case mix, documentation, coding, data quality, or model characteristics-and should trigger multidisciplinary analysis rather than automatic querying.
ACDIS includes mortality and severity/risk adjustment within CCDS competency expectations.
CCDS Reference Topics: O/E mortality; risk adjustment; severity documentation; quality outcomes.
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NEW QUESTION # 101
A hospital had 1,000 inpatient discharges during a reporting period. The sum of the MS-DRG relative weights for those discharges was 1,750. What is the hospital's case mix index (CMI)?
Answer: A
Explanation:
Case mix index is calculated by dividing the total MS-DRG relative weights by the number of discharges:
1,750 ÷ 1,000 = 1.75
Therefore, the hospital's CMI is 1.75.
CMI is an aggregate measure representing the average relative resource intensity of the hospital's inpatient population under the MS-DRG system. A higher CMI generally indicates that the hospital treated cases assigned to DRGs with higher average relative weights.
However, CMI should never be interpreted as a pure measure of clinical quality. It can be affected by patient population, service-line composition, surgical volume, transplant activity, documentation completeness, coding accuracy, changes in grouper methodology, and other factors.
CMS specifically publishes hospital CMI data and uses MS-DRG relative weights in the IPPS payment methodology. CMS also maintains FY 2026 case-mix and relative-weight files as part of the final-rule data package.
For CDI program analysis, unexplained CMI changes should trigger investigation rather than an automatic assumption of poor documentation. Service-line and diagnosis-level analysis usually provides a more meaningful interpretation.
CCDS Reference Topics: Case mix index; relative weights; CDI analytics; MS-DRGs; program performance.
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NEW QUESTION # 102
Each MS-DRG has a relative weight (RW). RW is primarily associated with which of the following?
Answer: B
Explanation:
An MS-DRG relative weight is primarily a measure of relative resource consumption. CMS explains that each MS-DRG is assigned a payment weight representing the average resources required to treat cases in that MS- DRG relative to the average resources required for cases across all DRGs.
A relative weight greater than 1.0 generally represents a case group expected to consume more resources than the overall Medicare inpatient average, whereas a weight below 1.0 reflects comparatively lower expected resource utilization. CMS recalibrates MS-DRG relative weights periodically using national cost and claims information.
Severity of illness often correlates with resource consumption because clinically complex patients commonly require additional diagnostics, monitoring, interventions, medications, procedures, and length of stay.
Nevertheless, severity of illness is not itself the definition of relative weight.
Hospital quality measures are evaluated through separate quality programs. Likewise, an individual hospital's billed charges do not directly define the MS-DRG relative weight assigned nationally, although standardized cost and charge data contribute to CMS's broader methodology for recalibrating weights.
Understanding relative weight is essential for CDI because documentation affects code and MS-DRG assignment, while the MS-DRG's relative weight influences the standardized IPPS payment calculation.
CCDS Reference Topics: MS-DRG relative weight; IPPS methodology; resource utilization; reimbursement fundamentals.
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NEW QUESTION # 103
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