Clinical Validation Practice Brief

A comprehensive guide to understanding clinical validation, compliant query practices, and accurate diagnosis reporting — brought to you by AGES Coding TECH, part of JVAGES Health Care Pvt. Ltd.

What Is Clinical Validation?

Clinical validation involves a clinical review of the health record to determine whether a patient truly possesses the conditions that were documented. As defined by CMS in the 2011 Recovery Audit Program Statement of Work: "Clinical validation is a separate process, which involves a clinical review of the case to see whether or not the patient truly possesses the conditions that were documented."

Although the 2021 RAC contract states "clinical validation is prohibited in all RAC reviews," it has become a primary denial tool for many commercial payors. Understanding its scope and application is essential for coding, CDI, and clinical professionals.

CMS Definition

Clinical review to confirm documented diagnoses are truly present in the patient.

Not Clinical Practice

Distinct from diagnosing and treating — it pertains to documentation and code accuracy.

Payer Landscape

Now a primary denial tool for many commercial payors despite RAC restrictions.

Clinical Validation vs. Clinical Practice

Clinical Practice

The provider's role of diagnosing and treating the patient. This is the physician's domain and medical judgment.

Clinical Validation

Pertains to provider documentation and how it translates into medical codes. It is the organization's responsibility to ensure all reported diagnoses are clinically valid and supported by the health record.

The Coding Guidelines state: "A joint effort between the healthcare provider and the coder is essential to achieve complete and accurate documentation, code assignment, and reporting."

The Role of CDI Professionals

The clinical documentation integrity (CDI) professional acts as an intermediary between the provider and coding professional, concurrently obtaining additional documentation needed to support accurate diagnosis and procedure code reporting on claims.

"The importance of consistent, complete documentation in the medical record cannot be overemphasized. Without such documentation, accurate coding cannot be achieved." — Coding Guidelines

Reportability vs. Clinical Validity

Determining if a diagnosis is reportable is often the domain of the coding professional, guided by the Coding Guidelines. However, a diagnosis may be considered reportable yet not fully supported by clinical evidence within the health record.

Reportable Diagnosis

A diagnosis documented by the provider that meets Coding Guidelines Section I.A.19 criteria for code assignment.

Clinically Valid Diagnosis

A diagnosis fully supported by clinical evidence and indicators present within the health record.

The Gap

A diagnosis can be reportable but not clinically valid — this gap is where clinical validation queries become necessary.

Clinical Validation vs. Risk Adjustment

Clinical validation should not be confused with the validation process used for risk adjustment. The AHA Coding Clinic® (Second Quarter, 2022, p. 30) clarified that risk adjustment coding is not restricted to codes on a single claim — it is based on conditions collected during the calendar year.

Regardless of the payment mechanism or healthcare setting, professional coders must follow applicable coding guidance for reporting diagnoses on a claim. Organizations must not extrapolate CMS guidance issued for Risk Adjustment (e.g., CMS-HCC, HHS-HCC) into their clinical validation process, as this guidance focuses on data validation for a specific risk adjustment model, not claim submission coding.

The Clinical Validation Review Process

The clinical validation process involves reviewing the health record to identify potential gaps between documented diagnoses and corresponding clinical evidence. Gaps may be resolved by querying the provider. If clinical evidence is too sparse, the provider may determine the diagnosis is not sufficiently supported and it should not be reported.

Who Performs Clinical Validation?

Clinical validation reviews can be performed by professionals with a variety of backgrounds — coding, nursing, physician, CDI, and others. The process requires a strong clinical knowledge base and may not be feasible for all CDI or coding professionals without additional training.

Physician Reviewers

Bring deep clinical expertise to validate complex diagnoses.

CDI Professionals

Ideally incorporated into the concurrent CDI review process for real-time validation.

Coding Professionals

Apply coding guidelines while identifying diagnoses that may lack clinical support.

Critical Thinking & Assistive Technology

The professional performing clinical validation reviews must possess strong critical thinking skills, especially when using assistive technology. Clinical validation requires understanding the complete clinical picture to validate technology recommendations and identify false positives from inappropriate pattern recognition.

A good practice is to ask: Would other providers, evaluating the same patient based on the same clinical evidence, arrive at the same diagnosis?

Second-Level Clinical Validation Review

Because clinical validation reviews are not always clear-cut, organizations may need to create a second-level review process. This process collaborates with denials management to identify diagnoses at high risk of denial.

1

Identify At-Risk Diagnoses

Some diagnoses are always vulnerable to denial due to lack of universal consensus on their definition.

2

Address Root Causes

Correct ambiguity or inconsistency within associated health records where possible.

3

In-Depth Review

Include all clinical notes — provider, nursing, therapist — to support clinical validity of documented diagnoses.

CMS Requirements for Clinical Evidence

CMS advises: "As with all codes, clinical evidence should be present in the health record to support code assignment." A medical record is considered complete if it contains sufficient information to identify the patient, support the diagnosis, justify care and services, document the course and results of care, and promote continuity of care among providers.

CMS does not define diagnoses unless specified in a National Coverage Determination (NCD) or Local Coverage Determination (LCD). Each individual entry must contain sufficient information to satisfy the completeness standard.

Treatment Is Not Always Required to Validate a Diagnosis

Some diagnoses are frequently validated by their treatment (e.g., sepsis, acute respiratory failure, severe malnutrition), but others may only require monitoring and/or clinical evaluation.

Best practice is to educate providers to document when and why a patient requires more than routine care — particularly for commonly challenged diagnoses like acute blood loss anemia.

Acute Blood Loss Anemia: A Common Challenge

Relying on monitoring and clinical evaluation to justify a diagnosis can lead to denials if documentation does not demonstrate the patient is receiving more than routine care. Acute blood loss anemia is a frequently challenged diagnosis.

Routine Scenario

Surgical patients undergoing hip replacement or coronary artery bypass routinely receive blood products and CBC orders — these may be considered routine/expected care.

Best Practice

Providers should specifically state in the assessment and plan why a condition is not routine care. Documentation should clearly support the clinical significance of each reported diagnosis.

Clinical Definitions and Criteria

Organizations may establish internal clinical definitions based on professional medical guidelines, consensus, and evidence-based sources. These definitions create standardization but are not binding with Medicare or other payers.

Per AHA Coding Clinic (Fourth Quarter, 2016, pp. 147–149): if a provider documents a diagnosis, it will be coded. If a clinical validation reviewer later feels the diagnosis is unsupported, it is a clinical validation issue — not a coding error. Additionally, AHA Coding Clinic (Fourth Quarter, 2017, p. 110) advises it is inappropriate to automatically omit a provider-documented diagnosis simply because it does not meet an established definition.

What Is a Reportable Diagnosis?

The most important coding guideline impacting clinical validation is Section I.A.19 of the Coding Guidelines:

"The assignment of a diagnosis code is based on the provider's diagnostic statement that the condition exists. The provider's statement that the patient has a particular condition is sufficient. Code assignment is not based on clinical criteria used by the provider to establish the diagnosis. If there is conflicting medical record documentation, query the provider."

The statement regarding conflicting documentation was added for fiscal year 2023. AHA Coding Clinic (First Quarter, 2014, pp. 11–13) further advises that code assignment in the inpatient setting can be based on documentation of other providers involved in care, if not conflicting.

Inpatient Coding Guidelines: Reporting Additional Diagnoses

Section III of the Coding Guidelines defines criteria for reporting diagnoses in the inpatient setting. "Other diagnoses" are additional conditions that affect patient care by requiring:

Clinical Evaluation

Therapeutic Treatment

Diagnostic Procedures

Extended Hospital Stay

Increased Nursing Care/Monitoring

The UHDDS defines "other diagnoses" as all conditions that coexist at admission, develop subsequently, or affect treatment and/or length of stay.

Chronic Conditions & Inpatient Coding

Chronic conditions present unique coding and clinical validation challenges. Lifelong chronic conditions such as COPD, hypertension, and diabetes mellitus should be coded in the inpatient setting even if documented as "a history of" (AHA Coding Clinic, Third Quarter, 2007). Obesity was added as a chronic condition always considered clinically significant (Third Quarter, 2011).

Outpatient Setting: Clinical Validation Considerations

Clinical validation in the outpatient setting differs significantly from the inpatient setting. Most outpatient denials challenge the reportability of a condition and the medical necessity of services — not the clinical validity of the documented condition itself.

Outpatient Denials

Typically challenge whether a diagnosis should be reported and whether services are medically necessary per NCDs, LCDs, and commercial payer requirements.

MEAT / TAMPER Acronyms

MEAT (Monitor, Evaluate, Assess, Treat) and TAMPER are applicable only to risk adjustment reporting — they are not official coding guidance and should not be applied to claim submissions.

RADV & Risk Adjustment in the Outpatient Setting

The process of abstracting diagnoses for Medicare Advantage and other risk-adjustment models is distinct from traditional clinical validation. CMS publishes Medical Record Reviewer Guidance for RADV organizations, advising that reviewers must apply expertise in documentation and official coding guidelines — not provide specific diagnosis coding advice.

RADV auditors can consider diagnoses in the problem list if adequately supported by relevant clinical indicators, including chronicity and support in the full health record. Organizations must not extrapolate CMS risk adjustment guidance into their claim submission coding processes. Coders must follow ICD-10 conventions, Coding Guidelines, and AHA Coding Clinic.

When Is a Clinical Validation Query Needed?

During a clinical validation review, a query may be necessary when:

Lacks Clinical Indicators

A documented diagnosis lacks indicators generally accepted by the medical community.

No Longer Valid

A diagnosis appears no longer valid but documentation does not confirm it as ruled out or resolved.

Copy-Paste Concerns

An uncertain diagnosis has been copy-pasted/copy-forwarded from the H&P to the discharge summary.

Atypical Presentation

A documented condition has an atypical patient presentation requiring justification.

Composing a Compliant Clinical Validation Query

Clinical validation queries are governed by the Guidelines for Achieving a Compliant Query Practice. The intent is not to question the provider's medical judgment but to ensure the documented diagnosis is clinically valid and accurately reported.

Unlike standard queries that aim to add or specify a reportable diagnosis, the clinical validation query may result in the removal of a documented diagnosis. When using multiple-choice format, only reasonable options should be included, always allowing an alternative response such as "other" or "other explanation of clinical findings."

Education for Clinical Validation Professionals

1

Clinical Concepts

Ongoing education on pathophysiology, pharmacology, diagnostic evaluation, clinical indicators, and treatment modalities for commonly queried topics.

2

Evidence-Based Guidelines

Stay current on clinical practice guidelines, supporting clinical indicators, risk factors, diagnostic testing, and treatment protocols.

3

Coding Guideline Changes

Ongoing review of ICD-10-CM/PCS guidelines, AHA Coding Clinics, NCDs/LCDs, payment methodology updates, and industry practice briefs.

4

Query Composition

Education on compliant clinical validation query composition following the latest industry practice brief guidelines.

Education for Medical Providers

Intent of the Query

Providers should understand the query seeks alignment between documented diagnoses and relevant clinical indicators — not a challenge to medical judgment.

Supporting Documentation

Document clinical indicators used to support the diagnosis. If a condition is ruled out or resolved, clearly note it. Ensure the problem list and discharge summary reflect only clinically valid diagnoses.

EHR Templates & Copy-Paste Risks

Use caution with templates that auto-populate fields. Copy-paste/copy-forward functionality may carry forward diagnoses that have been ruled out, leading to clinical validation denials.

Query Example: Acute Respiratory Failure

Dr. Jones, The H&P documents acute on chronic respiratory failure (ACRF). Based on the clinical indicators below, please verify if ACRF is clinically valid:

ED Note Indicators

PMH: chronic respiratory failure; requires continuous home O₂ @ 2L/NC. Mild dyspnea, speaking in mostly full sentences. RR = 22 bpm; normal mentation.

Labs/ABG

On 2L/NC: pH 7.35; pCO₂ = 45 mmHg; pO₂ = 90 mmHg; HCO₃ = 25 mEq/L. O₂ placed at 3L/NC for 2 hours then decreased to 2L/NC.

Response Options

① Ruled out   ② Confirmed as evidenced by the following clinical indicators: ___   ③ Other explanation of clinical findings: ___

Query Examples: Encephalopathy & Malnutrition

Encephalopathy Query

69-year-old male admitted from SNF for complicated UTI. Known history of dementia; family reports frequent confusion as a consequence of dementia. H&P documents "Encephalopathy in the setting of infection." GCS 12–14; mental status does not change with treatment of UTI.

Options: Confirmed with additional indicators | Ruled out | Other explanation

Severe Protein Calorie Malnutrition Query

SPCM noted in H&P, progress notes, and discharge summary. Indicators: BMI = 18, Prealbumin = 13.0, 5% weight loss in past month, mild loss of subcutaneous fat, consuming 80% of estimated energy requirement, patient at 93% of normal weight.

Options: SPCM clinically valid with additional indicators | History of SPCM only | Other explanation

Query Example: Sepsis

Sepsis documented in H&P assessment but not carried through to progress notes or discharge summary.

Admitting Vitals

HR 91 | RR 22 | BP 105/50 | Temp 99.1°F

Labs

WBC = 12.0 | Lactic acid = 2.2 mmol/L | Blood culture negative ×3

H&P Notes

PMH of COPD. Alert and oriented. Pain with inspiration, increased SOB. Possible pneumonia on CXR. IV antibiotics started.

Response Options: ① Sepsis present on admission, resolved after treatment — evidenced by: ___   ② Sepsis ruled out after further study   ③ Other explanation of clinical findings: ___

Summary: Clinical Validation Best Practices

Clinical validation requires continuous collaboration between providers, CDI, and coding professionals. Internal criteria promote consistency but are not binding. When performing clinical validation, ask whether other providers, reviewers, and auditors would reach the same conclusion based on the totality of the health record.

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