The process of HCC coding is one of the important processes in this case. This coding technique links documented patient diagnoses with the risk-adjustment model taking into consideration the differences in the predicted healthcare expenditures.

So, how does HCC coding work? What diagnoses are considered to affect the risk scores? How can healthcare professionals manage proper documentation?

Here you will learn everything about the HCC coding in practical terms.

What Is HCC Coding in Healthcare?

HCC coding, or Hierarchical Condition Category coding, is a risk adjustment method that groups certain ICD-10-CM diagnosis codes into clinically related categories used to estimate expected healthcare costs.

The Centers for Medicare & Medicaid Services (CMS) employs HCC-based models in the Medicare Advantage risk adjustment in order to cater for the variations in the health status of the enrolled beneficiaries.

A patient who is suffering from a complex or multiple chronic illnesses may have to utilize more healthcare services than a patient who has less medical conditions. HCC risk adjustment caters for these variations through the use of qualifying diagnosis information and other relevant risk factors.

For instance, two Medicare Advantage enrollees can be of the same age but have different medical needs. One will suffer from well-controlled hypertension while another may have diabetes with complications, chronic kidney disease and heart failure.

Their healthcare costs may vary significantly. Risk adjustment models take into consideration some of the differences through the use of qualifying clinical information.

Nevertheless, not all diagnoses qualify for a payment HCC.

What Does HCC Stand for in Medical Coding?

HCC stands for Hierarchical Condition Category.

These classes consist of diseases that are clinically related and have comparable predictive associations with medical expenses.

Hierarchical describes how some condition categories that are related to each other interact in the risk adjustment formula.

For instance, in a particular risk adjustment formula, there can be severity categories within a family of diseases. If hierarchical considerations exist, then the more serious condition category can override the less serious condition category in the hierarchy.

This helps avoid situations where certain conditions related to each other get counted repeatedly when predicting costs.

These classes, hierarchies, and diagnostic mappings will vary depending on the version of the CMS-HCC model used.

How Does HCC Coding and Risk Adjustment Work?

HCC coding follows a structured process that begins with clinical documentation and ends with the use of qualifying diagnosis information in a risk adjustment model.

1. Healthcare Providers Document Patient Conditions

In a patient visit during which reporting of diagnoses is possible, the healthcare practitioner makes appropriate entries regarding the diagnoses, clinical observations, and the management plan.

Documentation of the patient’s condition in the medical record needs to be clear and include sufficient supporting information regarding the reported diagnoses.

With regard to chronic diseases, documentation in the present visit is even more critical since the fact of a particular diagnosis being in the medical history does not necessarily mean that it is reportable at the time.

2. Diagnoses Are Assigned ICD-10-CM Codes

Medical coders review the available documentation and assign appropriate ICD-10-CM diagnosis codes according to applicable coding guidelines.

Code selection requires attention to:

• Diagnosis specificity and documented complications
• Current versus historical conditions
• Applicable combination codes
• Clinical relationships documented by the provider
• Reporting and sequencing requirements

Coders should not infer an unsupported diagnosis simply because a patient takes a particular medication or has an abnormal laboratory result.

When documentation is unclear, an appropriate provider clarification process may be necessary.

3. Qualifying Diagnosis Codes Map to HCC Categories

The risk adjustment model for use in this situation translates the ICD-10-CM code into a condition category.

Condition categories that fall outside of those designated by the appropriate model cannot contribute to risk adjustment payments.

A diagnosis can be clinically significant but fail to contribute to an HCC that affects payment. This is important due to the reason that the goal of coding is accurate reporting of the patient’s conditions.

4. Hierarchical Rules Are Applied

Following the diagnosis categorization process, the model makes use of hierarchical and interaction rules.

In some cases, certain categories may override others that belong to the same disease hierarchy. In other cases, additional diagnoses can serve as input separately.

It is not the number of diagnoses in the medical record that determines the output, but how the model’s relationships are structured.

5. The Risk Adjustment Model Calculates a Risk Score

The formula incorporates all the relevant diagnostic variables along with demographic and other model specific variables to come up with a risk adjustment score.

In the case of Medicare Advantage, this risk adjustment score enables CMS to make adjustments in the expected expenditures to arrive at risk-adjusted payments.

A high score normally implies high expected health care expenditure in the model. However, it does not mean that the patient is going to incur those exact expenses or that each new diagnosis means extra payments.

What Is a Risk Adjustment Factor (RAF) Score?

A Risk Adjustment Factor (RAF) score is a numerical value used to represent a beneficiary’s predicted relative healthcare costs under a particular risk adjustment model.

The score is calculated using model-defined factors that may include demographics, qualifying HCCs, and applicable interactions.

Consider two hypothetical beneficiaries:

Patient A: A beneficiary with relatively few qualifying conditions may receive a lower model-calculated risk score.

Patient B: A beneficiary with several documented, qualifying chronic conditions may receive a higher score.

These examples illustrate the principle rather than actual RAF calculations.

The score depends on the applicable model and reporting rules. It cannot be determined accurately by simply counting chronic conditions.

For healthcare organizations, the priority should be ensuring that submitted diagnoses accurately reflect the patient’s documented health status.

Why Is HCC Coding Important for Healthcare Providers?

HCC coding affects several areas of healthcare operations, particularly within Medicare Advantage and other risk-adjusted payment arrangements.

Accurate Representation of Patient Complexity

Patients with multiple chronic conditions often require coordinated care, ongoing monitoring, and additional clinical resources.

Complete and accurate documentation helps healthcare organizations maintain a more reliable picture of those conditions.

HCC coding supports this process by connecting eligible diagnoses with defined risk categories.

Appropriate Risk-Adjusted Payments

Risk adjustment is designed to account for differences in expected healthcare costs among beneficiaries.

When qualifying conditions are not accurately documented or reported, the risk adjustment information may not fully reflect the patient’s health status.

Conversely, reporting unsupported diagnoses can create payment inaccuracies and compliance risks.

The goal is accurate, documentation-supported coding—not maximizing the number of HCCs reported.

Stronger Coding Compliance

Healthcare organizations must follow applicable diagnosis coding requirements and maintain supporting documentation.

Accurate HCC coding helps teams identify discrepancies before diagnosis information is finalized or submitted.

It also supports more consistent review practices across providers, coding teams, and external vendors.

Better Visibility Into Documentation Gaps

HCC coding reviews can reveal recurring documentation problems, such as unspecified conditions, unclear clinical relationships, or outdated diagnoses.

Addressing these problems through appropriate clinical documentation improvement processes can strengthen coding reliability.

Common Conditions Associated With HCC Coding

Several chronic and complex conditions may be relevant to HCC risk adjustment, depending on the diagnosis details and applicable model.

Examples include:

Such cases do not indicate that each diagnosis listed under such categories will necessarily qualify for an HCC. For example, having a past history of cancer and an existing active malignancy are different diagnoses. Likewise, the coding of diabetes mellitus with complications is based on the information given and ICD-10-CM coding rules.

Medical coders and physicians should always refer to the correct model mapping and coding guidelines.

What Are the Most Common HCC Coding Challenges?

Even experienced healthcare teams encounter coding difficulties when managing large volumes of medical records.

Understanding the common causes can help organizations improve their review processes.

1. Incomplete Clinical Documentation

A provider may document a condition without enough detail to support the most appropriate diagnosis code.

For example, documentation may not clearly identify the type of heart failure or the stage of chronic kidney disease.

Where the information is clinically available, more complete documentation can support accurate code selection.

2. Missed Documented Diagnoses

Relevant conditions may appear in different sections of a medical record.

A coder reviewing a complex chart must evaluate the available documentation carefully to identify diagnoses that meet applicable reporting requirements.

However, finding a condition in a record does not automatically make it reportable for risk adjustment.

3. Unsupported Diagnosis Reporting

An unsupported diagnosis may be reported when the clinical record does not establish the condition sufficiently.

This can happen when coders rely on outdated problem lists, isolated test results, or assumptions that are not supported by the provider’s documentation.

Such errors can create compliance concerns and increase audit exposure.

4. Incorrect Code Specificity

ICD-10-CM includes codes that distinguish between different manifestations, complications, and levels of disease severity.

Selecting an unspecified code when the documentation supports greater specificity can reduce coding precision.

On the other hand, assigning a more specific diagnosis without supporting documentation is equally problematic.

5. Inconsistent Review Practices

Different reviewers may interpret unclear documentation differently.

Without consistent coding guidelines, quality checks, and escalation procedures, these differences can lead to avoidable discrepancies.

A standardized review process helps coding teams maintain consistency while allowing appropriate professional judgment.

What Is the Difference Between HCC Coding and Traditional Medical Coding?

HCC coding and traditional medical coding use diagnosis classification systems, but their primary purposes differ.

The two activities overlap, particularly in the importance of accurate diagnosis coding.

A medical record may be coded correctly for one purpose while still requiring additional evaluation to determine whether a diagnosis qualifies for a particular risk adjustment model.

What Is the Difference Between Prospective and Retrospective HCC Coding?

Healthcare organizations commonly use prospective and retrospective reviews to support medical risk adjustment coding.

Prospective HCC Coding Review

A prospective review examines available patient information before an upcoming encounter or within an appropriate pre-encounter workflow.

The purpose is to identify potential documentation gaps or previously recorded conditions that may warrant clinical evaluation.

For example, a review may identify a chronic condition documented in an earlier record that should be reassessed by the treating provider.

The provider must independently determine whether the condition remains current and clinically relevant.

Prospective review should never be used to direct providers to document unsupported diagnoses.

Retrospective HCC Coding Review

A retrospective review evaluates documentation from completed encounters.

Coding professionals assess whether reported diagnoses are supported, whether applicable conditions were missed, and whether coding discrepancies require correction.

Retrospective reviews may also support internal quality monitoring and audit preparation.

Both approaches can contribute to accurate coding when they follow appropriate documentation, compliance, and review standards.

How Can Healthcare Providers Improve HCC Coding Accuracy?

Improving HCC coding accuracy requires collaboration between clinical, coding, compliance, and quality assurance teams.

Maintain Complete and Current Documentation

Providers should document relevant conditions with sufficient detail to support the diagnoses being reported.

For chronic conditions, documentation should accurately reflect the patient’s current clinical status and the care provided.

Follow Applicable ICD-10-CM Guidelines

Coding professionals should use current official coding guidelines, diagnosis code sets, and model-specific mappings.

CMS periodically updates risk adjustment resources, so organizations should verify which model and reporting requirements apply to the relevant payment year.

Establish Consistent Coding Review Procedures

Organizations can develop standardized review criteria covering diagnosis support, coding specificity, and discrepancy identification.

These procedures should also define when a finding requires clarification or escalation.

Conduct Regular Quality Audits

Independent coding reviews can help identify patterns of undercoding, overcoding, and inconsistent documentation interpretation.

For organizations handling large chart volumes, targeted audits can also provide useful feedback for coding education and process improvement.

DIT Health’s Quality Assurance & Coding Validation Services support organizations seeking structured coding reviews, discrepancy identification, and documentation-based validation.

Support Ongoing Coding Education

Healthcare coding requirements evolve over time.

Regular training helps coding teams understand updated classification guidance, documentation expectations, and recurring quality issues.

Provider education should focus on accurate clinical documentation rather than financial outcomes.

What Is the Role of HCC Coding in Medicare Advantage?

Medicare Advantage organizations receive risk-adjusted payments intended to account for differences in the expected healthcare costs of their enrolled populations.

HCC-based risk adjustment is one component of this payment methodology.

CMS uses qualifying diagnosis information, demographic factors, and applicable model rules to calculate beneficiary risk scores.

This creates a strong operational need for accurate documentation and reliable coding processes.

Medicare Advantage organizations must also consider the possibility of Risk Adjustment Data Validation (RADV) audits.

During these audits, CMS evaluates whether selected diagnoses submitted for risk adjustment are supported by appropriate medical records.

If diagnoses are not adequately supported, the findings may result in payment adjustments or recovery of overpayments.

For this reason, coding accuracy, documentation integrity, and audit readiness should be ongoing priorities rather than activities performed only when an audit is announced.

How Do HCC Coding Services Support Healthcare Organizations?

Managing risk adjustment coding internally can become challenging when organizations face high chart volumes, complex clinical documentation, or changing reporting requirements.

Specialized HCC risk adjustment coding services can provide additional review capacity and structured quality support.

Depending on the engagement, services may include:

• Clinical chart review and diagnosis identification
• ICD-10-CM code assignment and validation
• Prospective and retrospective coding reviews
• Documentation gap identification
• HCC coding quality checks
• Coding discrepancy reporting and audit support

External coding support should complement an organization’s clinical judgment, compliance responsibilities, and internal governance.

DIT Health provides HCC Risk Adjustment Coding Services focused on clinical documentation review, supported diagnosis identification, coding validation, and consistent quality checks.

The objective is to help healthcare teams maintain reliable risk adjustment information while reducing avoidable coding inconsistencies.

How to Choose the Right HCC Coding Partner

Selecting an HCC coding partner requires more than comparing turnaround times or service pricing.

Healthcare organizations should evaluate whether a prospective partner understands their coding requirements and can support consistent, defensible review processes.

Important questions include:

• Does the team have experience with applicable CMS-HCC models and ICD-10-CM guidelines?
• How are unsupported diagnoses and documentation discrepancies identified?
• What quality assurance procedures are followed?
• How are coding findings reported and reviewed?
• What controls protect patient information?
• Can the service accommodate the organization’s chart volumes and review requirements?

Organizations should also ask for evidence supporting any claimed accuracy rates, certifications, security controls, or service-level commitments.

A structured pilot may help evaluate review quality and communication before a larger engagement.

Conclusion

HCC coding is an important part of risk adjustment for Medicare Advantage and other applicable healthcare payment models. It helps connect documented patient conditions with standardized categories used to estimate expected healthcare costs.

For healthcare providers, the most important responsibility is accurate clinical documentation. For coding teams, it is assigning and validating diagnosis codes according to applicable guidelines. For health plans, it is maintaining reliable risk adjustment information supported by appropriate records.

Effective HCC coding depends on all three.

Organizations that invest in consistent documentation, qualified coding reviews, and regular quality assurance are better positioned to identify discrepancies, maintain compliance, and manage risk adjustment workflows.

Need support with HCC coding accuracy or clinical documentation reviews?

DIT Health works with healthcare organizations on HCC risk adjustment coding, diagnosis validation, and coding quality review. Contact DIT Health to discuss your requirements or learn more about the available 50-chart pilot.

Frequently Asked Questions About HCC Coding

1. What is the main purpose of HCC coding?

HCC coding supports risk adjustment by grouping qualifying diagnoses into categories used to predict healthcare costs. It helps Medicare Advantage payment models account for differences in beneficiaries’ documented health conditions.

2. Is HCC coding the same as ICD-10-CM coding?

No. ICD-10-CM is a diagnosis classification system, while HCC coding uses selected diagnosis codes within a risk adjustment model. Not every ICD-10-CM diagnosis contributes to a payment HCC.

3. What is a RAF score in HCC coding?

A Risk Adjustment Factor (RAF) score represents predicted relative healthcare costs under a particular model. It uses qualifying diagnoses, demographic information, and applicable model-specific factors.

4. Do chronic conditions need to be documented every year for HCC coding?

For Medicare Advantage risk adjustment, qualifying chronic conditions generally need appropriate documentation in the relevant data collection year. A diagnosis from an earlier year does not automatically remain reportable.

5. What is the difference between HCC coding and risk adjustment?

HCC coding classifies qualifying diagnoses into condition categories. Risk adjustment is the broader process that uses these categories and other factors to estimate expected healthcare costs and support applicable payment calculations.

6. Can incorrect HCC coding affect Medicare Advantage payments?

Yes. Missing qualifying diagnoses can affect risk score accuracy, while unsupported diagnoses can create overpayment and compliance concerns. Accurate documentation and coding are essential to reliable risk adjustment reporting.

7. Why are HCC coding audits important?

HCC coding audits help identify unsupported diagnoses, coding inconsistencies, and documentation gaps. Regular reviews can strengthen quality controls and help organizations prepare for applicable risk adjustment validation requirements.

8. Can healthcare organizations outsource HCC coding?

Yes. Healthcare organizations can use specialized coding partners for chart review, diagnosis validation, and quality assurance. They should evaluate coding expertise, documentation standards, data security, and review procedures before outsourcing.

The HEDIS reporting process for health plans and Medicare Advantage organizations requires strict deadlines, comprehensive measure specifications, and efficient collaboration of quality departments, providers, and medical record reviewers.

In case the abstraction is inconsistent, any small mistake in documentation may cause some extra work. Inaccurate screening date, misinterpreted test result, or unsupported clinical findings may impact the ability of the record to meet the specifications of a specific measure.

The right abstraction partner may help you minimize these challenges through the structure of chart reviews, experienced reviewers, consistent quality assessments, and transparent reports.

This article outlines what HEDIS chart review services include, when to outsource, and how to assess an abstraction partner.

What Are HEDIS Chart Review Services?

HEDIS chart review services involve reviewing medical records and extracting clinical information needed to evaluate healthcare quality measures under applicable HEDIS specifications.

HEDIS is an acronym that means Health Care Effectiveness Data and Information Set. The development and maintenance of HEDIS measures is done by the National Committee for Quality Assurance (NCQA). They have become popular as a way to evaluate the effectiveness of healthcare in various fields of health provision.

HEDIS measures can cover preventive screenings, chronic disease management, access to care, utilization and many other elements of healthcare effectiveness.

Some measures can use administrative data while others may need information from medical records according to the approved reporting methodologies.

While conducting the HEDIS medical record review, abstractors study the clinical documents for the following:

• Dates of preventive screenings and testing procedures
• Results of laboratory tests and any other clinical values
• Documented evidence of procedure or service completion
• Qualifying diagnoses
• Exclusions and exceptions if any
• Any supporting information required by measure specifications

All information must be assessed depending on the measurement year, reporting methodology and measure requirements.

The aim is not to collect all the available clinical data. The aim is to find reliable and relevant clinical information for the assigned quality measures.

Why Does Choosing the Right HEDIS Abstraction Partner Matter?

A HEDIS abstraction provider can significantly affect the accuracy of medical record abstraction process flow.

While health plans might have vast amounts of clinical records, the presence of such records does not necessarily equate to proper interpretation of such data.

A trained abstraction team bridges the gap between availability and interpretation.

Accurate Quality Measure Evaluation

Each HEDIS measure has specific requirements defining what information can be used and how it should be interpreted.

For example, a preventive screening measure may require evidence that a qualifying screening occurred within a defined period.

Finding a screening mentioned in a medical record is not always sufficient. The reviewer must determine whether the documented event meets the applicable measure criteria.

An experienced abstraction partner understands the importance of these distinctions.

Reduced Rework and Documentation Errors

Incorrectly captured dates, unsupported findings, and inconsistent interpretation can lead to repeated reviews.

When quality checks identify these problems early, healthcare teams can address discrepancies before they affect later stages of reporting.

Better Visibility Into Review Progress

HEDIS projects often involve multiple reviewers, measures, and record sources.

Without clear reporting, quality managers may struggle to understand how many charts have been reviewed, which records need clarification, and where bottlenecks are developing.

A reliable vendor should provide meaningful progress updates rather than only a final abstraction file.

Support During Time-Sensitive Reporting Cycles

HEDIS medical record review frequently involves concentrated workloads and fixed reporting deadlines.

An external partner may provide additional capacity when internal teams cannot complete the required reviews within the available period.

However, speed should never come at the expense of abstraction accuracy.

What Services Should a HEDIS Abstraction Company Provide?

Before evaluating vendors, healthcare organizations should understand which activities they need to outsource.

Not every HEDIS project requires the same level of support.

HEDIS Medical Record Review

Medical record review involves examining clinical documentation to locate information relevant to assigned quality measures.

Depending on the project, records may include physician notes, laboratory reports, hospital documentation, screening reports, and other permitted clinical sources.

Reviewers must distinguish between relevant evidence and information that does not satisfy the measure requirements.

Measure-Specific Chart Abstraction

HEDIS chart abstraction involves extracting the required clinical details from source records.

For example, an abstractor may need to capture a screening date, laboratory result, or documented exclusion.

Each finding must be evaluated against the applicable measure specifications.

Abstraction Quality Assurance

Quality assurance reviews help determine whether abstracted findings are accurate and supported by the original documentation.

These reviews may include second-pass abstraction, targeted checks, discrepancy analysis, and reviewer feedback.

Documentation Gap Identification

Some records may lack information required to establish whether a measure has been satisfied.

An abstraction partner should identify these gaps clearly rather than assume that a service occurred.

Where clarification or additional records are appropriate, the vendor should follow the health plan’s authorized procedures.

Reporting and Project Coordination

A useful HEDIS abstraction service should also provide organized project reporting.

This may include chart completion status, outstanding records, quality findings, and issues requiring client decisions.

The exact reporting requirements should be agreed upon before the engagement begins.

10 Factors to Consider When Choosing a HEDIS Chart Review Partner

Selecting a vendor requires evaluating more than experience claims or service pricing.

The following factors can help healthcare organizations make a more informed decision.

1. Experience With HEDIS Measures and NCQA Specifications

The first question is whether the abstraction team understands the measures your organization needs to review.

HEDIS specifications contain detailed rules regarding eligible populations, clinical evidence, timing, exclusions, and reporting requirements.

A vendor familiar with one measure may not necessarily have sufficient experience with another.

Ask prospective partners which measures they have supported and how they prepare reviewers for changes in measurement-year requirements.

What to ask: How do you train abstractors on current HEDIS specifications, and how do you confirm that reviewers are applying the correct measurement-year rules?

2. Qualifications and Training of Chart Abstractors

Accurate abstraction requires the ability to read clinical records, recognize relevant medical terminology, and apply measure-specific instructions.

Reviewers should receive training appropriate to their assigned work.

Depending on the project, teams may include healthcare professionals, experienced medical record abstractors, quality reviewers, and project coordinators.

A vendor should be able to explain its reviewer qualification standards and training procedures.

Ask how new reviewers are assessed before they begin production work and how performance is monitored throughout the project.

3. A Defined Abstraction Quality Assurance Process

A strong quality assurance process is one of the most important factors in vendor selection.

Without consistent validation, errors may remain unnoticed until final reporting or audit review.

Ask whether the vendor uses:

• Independent second-pass reviews
• Risk-based or statistically designed sampling
• Measure-specific quality checklists
• Error classification and discrepancy tracking
• Reviewer feedback and corrective actions
• Escalation procedures for ambiguous records

Also ask how accuracy is calculated.

For example, a vendor reporting 98% accuracy should explain what was measured, how many records were sampled, and whether the result reflects field-level accuracy, chart-level accuracy, or another defined metric.

An accuracy percentage without a clear methodology is difficult to evaluate.

4. Understanding of HEDIS Medical Record Documentation

A chart abstraction partner should understand that clinical evidence must meet the requirements of the assigned measure.

For example, a record may mention that a screening was recommended, but a recommendation is not necessarily evidence that the screening was completed.

Similarly, an incomplete laboratory report may not contain the information required for abstraction.

Reviewers should be trained to recognize these differences.

A reliable partner should also document uncertain findings and follow established escalation procedures rather than making unsupported assumptions.

5. Data Security and Patient Privacy

HEDIS medical record review may involve protected health information (PHI), making data security an essential part of vendor evaluation.

Healthcare organizations should assess whether the vendor has appropriate safeguards for the information it will access or process.

Important considerations include:

• Role-based access controls
• Encryption during transmission and storage
• Secure record access and transfer methods
• Audit logging and access monitoring
• Workforce confidentiality training
• Incident response and breach notification procedures
• Appropriate data retention and deletion practices

Where required, a Business Associate Agreement (BAA) should be established before protected health information is shared.

Organizations should request evidence of security practices and relevant contractual commitments rather than relying on general statements about HIPAA compliance.

6. Ability to Manage Different Chart Volumes

HEDIS projects can vary significantly in size.

Some organizations need support with a defined sample, while others require additional review capacity across multiple measures or populations.

Ask how the vendor plans staffing, manages workloads, and responds when record volumes change.

A capable partner should explain how it maintains quality when additional reviewers are assigned.

Scalability should be demonstrated through a practical staffing and quality plan, not simply a promise to handle unlimited records.

7. Transparent Reporting and Communication

Communication becomes especially important when records are incomplete, measure requirements are unclear, or project deadlines are approaching.

A vendor should establish a clear communication process before the project starts.

Useful reporting may include:

• Charts assigned and completed
• Records awaiting review or clarification
• Quality assurance findings
• Recurring abstraction discrepancies
• Progress against agreed milestones
• Issues requiring client attention

A designated point of contact can help prevent delays and keep responsibilities clear.

8. Experience With HEDIS Audit Readiness

HEDIS reporting may be subject to applicable audit requirements, including the NCQA HEDIS Compliance Audit process.

A suitable abstraction partner should understand the importance of traceable source evidence, consistent abstraction procedures, and documented quality controls.

Ask how the vendor maintains records of abstraction decisions and supports client requests for audit-related documentation.

However, remember that using an external abstraction vendor does not transfer the health plan’s responsibility for meeting applicable reporting and audit requirements.

9. Technology and Workflow Compatibility

Healthcare organizations use different systems to manage medical records and quality data.

Before selecting a vendor, determine whether its workflow can support your approved systems and required output formats.

Questions may include:

• Can reviewers work within the client’s authorized abstraction platform?
• How are completed findings delivered?
• What validation checks are applied to exported data?
• How are duplicate records or conflicting information handled?
• What happens when access or system issues interrupt reviews?

A compatible workflow can reduce manual transfers and avoid unnecessary operational complexity.

10. A Practical Pilot Before Full Engagement

A pilot project can provide useful evidence of a vendor’s actual capabilities.

Rather than relying entirely on sales presentations, healthcare organizations can assess how the team handles real-world documentation challenges.

A well-designed pilot should define:

• The measures and records included
• Applicable measurement-year specifications
• Expected abstraction outputs
• Quality evaluation criteria
• Turnaround expectations
• Communication and escalation procedures
• Security and confidentiality requirements

The pilot should use appropriately authorized records and agreed access controls.

DIT Health offers a free 50-chart pilot to help healthcare organizations evaluate its chart review, abstraction, and quality validation approach before considering a larger engagement.

In-House vs Outsourced HEDIS Chart Review: Which Is Better?

Both in-house and outsourced HEDIS chart review can be effective when supported by qualified reviewers and strong quality controls.

The appropriate choice depends on available resources, project requirements, and internal capabilities.

Outsourcing may be particularly useful when chart volumes fluctuate, internal resources are limited, or organizations need additional expertise for defined measures.

However, outsourcing does not eliminate the need for internal oversight.

The health plan remains responsible for validating the quality and suitability of the information used in its reporting process.

Common Mistakes to Avoid When Hiring HEDIS Abstraction Vendors

A vendor may appear suitable during initial discussions but still be a poor fit for the organization’s actual review requirements.

Avoid these common selection mistakes.

Choosing Based Only on Price

Lower pricing does not necessarily mean lower total project costs.

If abstraction errors result in repeated reviews, additional quality checks, or reporting delays, the overall cost may increase.

Compare pricing alongside documented quality procedures, deliverables, and service scope.

Accepting Accuracy Claims Without Evidence

Vendors may advertise high accuracy percentages without explaining how those figures were measured.

Ask for the calculation methodology, sample size, and quality review criteria.

Where possible, evaluate performance through a structured pilot.

Ignoring Measurement-Year Requirements

HEDIS measures and specifications can change between reporting cycles.

A vendor relying on outdated instructions may produce findings that do not align with current requirements.

Confirm how specification updates are communicated and implemented.

Overlooking Data Security Responsibilities

A confidentiality statement alone is not sufficient evidence of appropriate safeguards.

Evaluate the vendor’s security controls, contractual obligations, access procedures, and incident management practices before providing patient information.

Failing to Define Deliverables

A vague agreement can lead to disagreements about what constitutes a completed chart review.

Define the scope, output format, quality criteria, timelines, and responsibilities before work begins.

How Does HEDIS Chart Review Support Healthcare Quality Reporting?

HEDIS chart review helps healthcare organizations identify clinical information that may not be fully represented in administrative data.

For applicable measures, medical record information can provide evidence needed to evaluate whether certain services or clinical requirements were met.

For example, a health plan may need to confirm a qualifying screening date or laboratory result using permitted clinical documentation.

Accurate abstraction helps ensure that the relevant evidence is captured and evaluated consistently.

However, chart abstraction does not automatically improve a quality score.

Its role is to support accurate reporting of documented care according to the applicable measure specifications.

Reliable data can also help quality teams recognize documentation patterns, investigate gaps, and plan appropriate operational improvements.

How Can HEDIS Chart Audits Improve Abstraction Quality?

HEDIS chart audits provide an additional level of review by comparing abstracted information with source medical records and applicable measure requirements.

They can identify issues such as:

• Incorrectly entered screening dates
• Missing supporting documentation
• Misinterpreted clinical values
• Incorrect application of measure criteria
• Unsupported exclusions or exceptions
• Inconsistent abstraction decisions

An effective audit process should explain why a finding is incorrect and how similar errors can be prevented.

For organizations using multiple abstraction teams or external vendors, independent reviews can also support more consistent quality expectations.

DIT Health provides Quality Assurance & Coding Validation Services that include HEDIS abstraction quality checks and structured discrepancy reporting.

Why Consider DIT Health for HEDIS Chart Review Services?

DIT Health supports healthcare organizations with medical record review, HEDIS chart abstraction, and coding quality validation.

Its approach focuses on reviewing clinical documentation carefully, identifying relevant measure-specific information, and maintaining consistent quality checks throughout the engagement.

DIT Health’s HEDIS-related capabilities include:

• HEDIS medical record review
• Measure-specific clinical data abstraction
• Supplemental documentation review where applicable
• Abstraction accuracy and validation
• Documentation gap identification
• HEDIS quality review

The team also provides project coordination and reporting to help clients understand review progress and outstanding issues.

For organizations evaluating external support, the free 50-chart pilot provides an opportunity to discuss review requirements and assess the proposed workflow before moving to a larger project.

Explore DIT Health’s HEDIS Chart Review & Abstraction Services to learn more about its service approach.

Questions to Ask Before Signing a HEDIS Abstraction Contract

Before finalizing an agreement, healthcare organizations should have clear answers to several practical questions.

1. Which HEDIS measures and measurement years can the team support?
2. What training and qualification standards apply to reviewers?
3. How are abstraction errors identified, measured, and corrected?
4. What data security controls and contractual safeguards are in place?
5. How will records, findings, and quality reports be exchanged?
6. What is the process for handling unclear documentation?
7. Who will be responsible for project communication and escalation?
8. How will performance be evaluated during a pilot and ongoing engagement?

The answers should be documented in the statement of work or other appropriate project agreements.

Conclusion

Choosing the right HEDIS chart review partner requires careful evaluation of clinical abstraction expertise, measure-specific knowledge, quality assurance procedures, data security, and operational reliability.

The best partner is not necessarily the one offering the fastest turnaround or the lowest price. It is the one that can demonstrate a consistent, well-documented process for reviewing medical records and producing accurate, traceable findings.

For health plans and Medicare Advantage organizations, a strong abstraction partnership can help make demanding review cycles more manageable while supporting reliable healthcare quality reporting.

Looking for dependable HEDIS chart review support?

DIT Health provides HEDIS medical record review, clinical abstraction, and quality validation services for healthcare organizations. Contact the team to discuss your reporting requirements and explore the available free 50-chart pilot.

Request a Consultation With DIT Health

Frequently Asked Questions About HEDIS Chart Review Services

1. What are HEDIS chart review services?

HEDIS chart review services involve examining medical records and extracting clinical information required for applicable healthcare quality measures. They help health plans evaluate documented care according to measure-specific reporting requirements.

2. What does a HEDIS chart abstractor do?

A HEDIS chart abstractor reviews clinical documentation and captures measure-relevant information, such as screening dates, laboratory results, and qualifying procedures. Findings must follow applicable specifications and be supported by the source record.

3. How do I choose a reliable HEDIS abstraction vendor?

Evaluate the vendor’s experience with current HEDIS measures, reviewer training, quality assurance methods, data security controls, reporting practices, and ability to meet project requirements. A structured pilot can help validate performance.

4. Can health plans outsource HEDIS chart abstraction?

Yes. Health plans can outsource appropriate HEDIS medical record review and abstraction activities to qualified service providers. They should maintain oversight, verify quality, and ensure that contractual and privacy requirements are met.

5. What is the difference between HEDIS abstraction and HEDIS chart auditing?

HEDIS abstraction extracts measure-specific clinical information from medical records. HEDIS chart auditing checks whether the abstracted findings are accurate, supported by documentation, and consistent with applicable measure specifications.

6. Why is quality assurance important in HEDIS chart review?

Quality assurance helps identify missing information, incorrect dates, unsupported findings, and inconsistent interpretation of measure requirements. It supports reliable abstraction results and reduces the likelihood of repeated reviews.

7. Does HEDIS chart review improve healthcare quality scores?

Chart review can improve the completeness and accuracy of information used for eligible measures, but it does not guarantee higher scores. Reported results must reflect documented care and comply with applicable HEDIS specifications.

8. What should a HEDIS chart review pilot include?

A pilot should define the measures, chart sample, abstraction instructions, quality evaluation criteria, deliverables, turnaround expectations, and security requirements. This helps healthcare organizations assess vendor suitability before a larger engagement.

Not necessarily.

Healthcare organizations process large amounts of clinical information every day. Even with experienced coding teams, errors can occur when documentation is unclear, coding guidelines change, or different reviewers interpret the same record differently.

Some mistakes are relatively straightforward, such as an incorrect code or missing documentation. Others are harder to identify, particularly when they involve complex chronic conditions, risk adjustment diagnoses, or measure-specific clinical data.

This is where independent medical coding audits become valuable.

An independent review provides a second assessment of completed coding work. Instead of relying entirely on the team or vendor that performed the original coding, healthcare organizations can evaluate whether reported diagnoses are accurate, properly supported, and consistent with applicable requirements.

For health plans, Medicare Advantage organizations, and healthcare providers, independent audits can reveal problems that routine internal checks may overlook.

What Are Medical Coding Audit Services?

Medical coding audit services are structured reviews of coded healthcare records to determine whether assigned codes are accurate, supported by clinical documentation, and consistent with applicable coding guidelines.

An audit generally involves comparing reported codes with the original medical records, identifying discrepancies, and documenting findings for further review.

Depending on the organization’s needs, medical auditing services may focus on diagnosis coding, risk adjustment, clinical documentation, or coding work completed by an external vendor.

For example, an auditor reviewing an HCC-related diagnosis may check whether the patient’s record supports the reported condition and whether the appropriate ICD-10-CM code was assigned.

If the documentation does not establish the diagnosis, the auditor should flag the issue rather than assume the condition is valid.

A medical coding audit can examine both types of errors:

• Undercoding: Missing or insufficiently specific reportable diagnoses or codes.
• Overcoding: Reporting diagnoses or codes that are unsupported or do not meet applicable requirements.

Both matter. The purpose of an audit is not to increase coding volume or reimbursement. It is to establish whether the coding accurately represents the documented care and complies with relevant rules.

Why Do Healthcare Organizations Need Independent Medical Coding Reviews?

Healthcare organizations often have internal coding and quality assurance processes. So why involve an independent reviewer?

The main reason is objectivity.

When the same team develops coding practices, performs coding, and evaluates its own work, certain patterns may become difficult to recognize. An external reviewer can assess those practices against defined standards without being directly involved in the original coding decisions.

Independent reviews are particularly useful in the following situations.

When Internal Quality Checks Are Not Enough

Internal quality assurance is essential, but it may not cover every coding risk.

For instance, a coding team may consistently apply an internal interpretation that does not fully align with current guidelines. If internal auditors follow the same interpretation, the problem may continue unnoticed.

An independent coding audit provides another perspective and can identify recurring issues that require clarification or additional training.

When Multiple Coding Vendors Are Involved

Healthcare organizations sometimes work with several coding vendors to manage different services, locations, or chart volumes.

Each vendor may use different training methods, review procedures, and reporting formats.

An independent audit can help organizations evaluate completed work against common quality expectations.

This makes it easier to identify differences in coding practices and determine where corrective action may be necessary.

When Coding Errors Create Compliance Concerns

Unsupported diagnosis codes and incorrect reporting can create regulatory and financial risks.

In Medicare Advantage risk adjustment, for example, submitted diagnoses must satisfy applicable requirements and be supported by appropriate medical records.

An independent HCC coding audit can help identify unsupported diagnoses and documentation gaps before they become larger compliance problems.

When Leadership Needs Reliable Quality Information

Healthcare executives and compliance leaders need more than a general statement that coding quality is satisfactory.

They need to understand what was reviewed, which errors were identified, how frequently those errors occurred, and what actions are recommended.

Independent medical coding audit services can provide structured findings that support informed decisions about staffing, training, vendor performance, and quality controls.

What Does an Independent Medical Coding Audit Actually Examine?

The scope of a medical coding audit depends on the coding activities being reviewed.

A useful audit should answer specific questions about coding accuracy and documentation integrity rather than simply produce an overall percentage.

Diagnosis Code Accuracy

Auditors evaluate whether assigned ICD-10-CM diagnosis codes reflect the conditions documented in the medical record.

This includes reviewing code specificity, applicable conventions, and relevant reporting guidelines.

Clinical Documentation Support

Every audited diagnosis should be evaluated against the documentation requirements applicable to that record and reporting purpose.

A condition appearing in an old problem list, for example, may require additional review before it can be considered valid for a particular encounter or risk adjustment submission.

Missing or Unsupported Diagnoses

Auditors look for potentially reportable diagnoses that were overlooked, as well as reported conditions that lack sufficient support.

The findings should distinguish confirmed coding errors from situations requiring provider clarification.

Consistency Across Reviewers

A coding audit can identify whether different coders apply the same guidelines consistently.

Repeated differences may indicate a need for updated procedures, clearer instructions, or targeted education.

Compliance With Applicable Requirements

The audit should consider the requirements relevant to the engagement.

For example, an HCC risk adjustment review may require different evaluation criteria from a traditional professional-fee coding audit or a HEDIS abstraction quality review.

Healthcare organizations should define these requirements before the audit begins.

What Are the Most Common Medical Coding Audit Findings?

Independent reviews often identify patterns rather than isolated mistakes.

Understanding these patterns can help organizations improve coding quality beyond the individual records examined.

1. Diagnoses Without Adequate Documentation

A diagnosis may be reported even though the medical record does not provide sufficient support under the applicable requirements.

For example, a condition may appear in a historical problem list without evidence that it was evaluated or addressed during the relevant encounter.

The appropriate coding decision depends on the setting, reporting rules, and documentation.

2. Incorrect ICD-10-CM Code Selection

A coder may select a code that does not fully reflect the documented diagnosis.

This can involve incorrect specificity, complications, or other classification details.

Auditors should evaluate the code against the relevant documentation and coding guidelines.

3. Missed Reportable Conditions

Complex records may contain several diagnoses that require careful review.

A qualifying condition can be overlooked when information is spread across different clinical notes or documentation sections.

However, an auditor should not recommend adding a diagnosis unless the documentation and reporting requirements support it.

4. Inconsistent Coding Practices

Different reviewers may handle similar documentation differently.

For example, one reviewer may appropriately flag an unclear diagnosis for clarification while another assigns a code without sufficient support.

Repeated inconsistencies suggest that the organization may need clearer review criteria.

5. Incomplete Audit Trails

Even when coding decisions are correct, organizations may struggle to explain how they were reached if the review process is poorly documented.

An effective audit trail should allow authorized reviewers to understand the evidence, criteria, and reasoning behind a finding.

6. Errors in Externally Completed Coding Work

Outsourcing coding does not automatically eliminate coding errors.

External vendors may encounter the same documentation and interpretation challenges as internal teams.

Independent vendor audits can help identify recurring discrepancies and determine whether agreed quality expectations are being met.

Internal vs Independent Medical Coding Audits: What Is the Difference?

Both internal and independent audits play important roles in healthcare coding quality.

The main difference is who performs the review and how organizational independence is maintained.

Independent reviews should not replace routine internal quality assurance.

A stronger approach often combines internal monitoring with periodic external assessments, particularly for high-risk coding areas or vendor-managed work.

How Do Medical Coding Audits Support HCC Risk Adjustment Programs?

HCC risk adjustment coding is an area where documentation-based audits are especially important.

In Medicare Advantage, qualifying diagnosis information contributes to risk adjustment calculations used in payment methodologies.

If a submitted diagnosis is unsupported, it may create an inaccurate representation of the beneficiary’s health status and potential payment compliance concerns.

An HCC coding audit evaluates whether reported diagnoses satisfy the applicable requirements.

For example, an auditor may review a diagnosis associated with chronic kidney disease and examine whether the record supports the reported condition and code specificity.

If the documentation does not support the assigned code, the auditor should identify the discrepancy.

The auditor should not independently establish a diagnosis based only on laboratory values or assumptions.

HCC-focused reviews may also examine:

• Documentation supporting reported conditions
• Diagnosis specificity and code selection
• Potentially missed qualifying diagnoses
• Inconsistent application of coding guidelines
• Records requiring clarification or correction
• Patterns affecting coding quality across reviewed charts

These activities can support internal risk adjustment quality controls and audit preparation.

For organizations needing additional support with diagnosis review, DIT Health offers HCC Risk Adjustment Coding Services focused on documentation-supported coding, diagnosis validation, and quality checks.

Can Independent Coding Audits Help With RADV Audit Readiness?

Yes. Independent HCC coding reviews can help healthcare organizations identify documentation and coding issues relevant to Risk Adjustment Data Validation (RADV) audits.

CMS uses RADV audits to assess whether diagnoses submitted for Medicare Advantage risk adjustment are supported by appropriate medical records.

An internal or external review can help organizations examine their own coding practices before a formal audit.

However, an independent audit does not guarantee a favorable RADV outcome.

The review must use appropriate criteria, and the organization must address any confirmed errors through applicable compliance and correction processes.

Audit readiness should involve maintaining reliable documentation and quality controls throughout normal operations rather than preparing records only after an audit notice.

How Are Medical Coding Audit Results Measured?

A useful audit report should provide more than a total number of reviewed charts.

Healthcare organizations should understand what the results actually measure.

Coding Accuracy Rate

Coding accuracy may be calculated as the percentage of reviewed coding decisions that satisfy the audit’s defined criteria.

However, accuracy can be measured at different levels.

For example, a vendor may report accuracy per code, per chart, or per audited field.

These calculations are not interchangeable.

Error Categories

Audit findings should identify the types of errors discovered.

Examples include unsupported diagnoses, incorrect code specificity, missing reportable conditions, and documentation inconsistencies.

Error Severity

Some discrepancies have greater operational or compliance significance than others.

A risk-based audit may classify findings according to their potential impact and the actions required.

Recurring Error Patterns

A single error may be isolated.

Repeated errors involving the same diagnosis category, documentation issue, or reviewer practice may indicate a broader process problem.

Corrective Action Progress

Audit findings become more useful when organizations track whether recommended improvements have been implemented.

This may involve coding education, revised procedures, additional reviews, or appropriate documentation clarification.

When Should Healthcare Organizations Schedule an Independent Coding Audit?

There is no single audit schedule that fits every healthcare organization.

The appropriate frequency depends on coding volume, operational complexity, regulatory requirements, prior audit findings, and organizational risk.

Independent reviews may be particularly useful:

• Before or after a major coding workflow change
• When introducing a new coding vendor
• Following repeated quality assurance discrepancies
• During preparation for applicable compliance reviews
• When coding volumes increase significantly
• After relevant coding guideline or model updates
• When leadership needs an independent assessment of vendor performance

Some organizations benefit from periodic audits, while others may require targeted reviews based on specific concerns.

The review schedule should be determined through an appropriate risk assessment.

How to Choose the Right Medical Coding Audit Company

Not every medical coding audit company provides the same services.

Some specialize in professional-fee or facility coding, while others focus on risk adjustment, clinical documentation, or healthcare quality abstraction.

Healthcare organizations should choose a provider whose expertise matches their actual audit requirements.

Evaluate Relevant Coding Expertise

Ask whether the audit team has experience with the coding systems, programs, and documentation standards involved in your project.

For HCC reviews, this includes knowledge of applicable risk adjustment models and ICD-10-CM guidelines.

Understand the Audit Methodology

A reliable audit provider should explain how records are selected, which criteria are applied, and how discrepancies are classified.

If sampling is used, ask how the sample is designed and whether findings can reasonably be generalized to the larger population.

Review Quality Assurance Procedures

Auditors also need quality controls.

Ask how complex findings are escalated, how disagreements are resolved, and whether audit decisions receive additional review when necessary.

Confirm Data Security Requirements

Medical coding audits may involve protected health information.

Before sharing records, healthcare organizations should assess the provider’s safeguards, access controls, confidentiality practices, and applicable contractual obligations.

Where required, an appropriate Business Associate Agreement should be in place.

Request Clear and Actionable Reporting

An audit report should help the organization understand what needs attention.

Look for clear findings, supporting documentation references, error classifications, and practical recommendations.

Consider a Defined Pilot

A pilot can help assess an audit provider’s approach before a larger engagement.

DIT Health offers a free 50-chart pilot that organizations can use to discuss their review priorities and evaluate the proposed coding validation workflow.

What Should a Medical Coding Audit Report Include?

A well-structured audit report should be understandable to coding managers, compliance professionals, and operational leaders.

It should typically include:

1. Audit scope: The records, coding activities, and reporting periods reviewed.
2. Review methodology: The criteria, guidelines, and sampling approach used.
3. Coding findings: Identified discrepancies with supporting explanations.
4. Quality metrics: Clearly defined accuracy and error measurements.
5. Recurring issues: Patterns that may require broader investigation.
6. Recommended actions: Suggested corrections, training, or process improvements.
7. Limitations: Any restrictions affecting the completeness or interpretation of findings.

When findings are based on a sample, the report should distinguish observations from conclusions about the entire coding population.

Clear reporting helps organizations make better decisions without overstating what an audit has established.

How DIT Health Supports Independent Coding Reviews

DIT Health provides medical coding quality assurance and validation support for healthcare organizations that need an additional review of completed coding work.

Its services focus on identifying coding discrepancies, evaluating clinical documentation support, and organizing quality findings for client review.

DIT Health’s capabilities include:

• Medical coding accuracy audits
• HCC risk adjustment coding audits
• HEDIS chart abstraction audits
• Independent vendor coding reviews
• Clinical documentation validation
• Quality findings and discrepancy reporting

These services can support healthcare organizations reviewing internal coding performance or evaluating work completed by external teams.

DIT Health’s Quality Assurance & Coding Validation Services are designed around structured documentation reviews and practical quality reporting.

Organizations can also discuss a free 50-chart pilot to evaluate the proposed approach before committing to a larger project.

Conclusion: Independent Reviews Strengthen Coding Accountability

Medical coding accuracy should never depend entirely on assumptions about a team’s experience or a vendor’s reported performance.

Even established healthcare organizations can encounter documentation gaps, inconsistent code selection, and quality issues that remain unnoticed during routine operations.

Independent medical coding audit services provide an opportunity to examine completed work objectively, identify recurring discrepancies, and evaluate whether coding practices align with applicable requirements.

For healthcare providers, health plans, and Medicare Advantage organizations, these reviews can support stronger compliance controls, clearer vendor oversight, and more reliable clinical data.

The greatest value of an audit is not simply finding errors. It is understanding why those errors occur and using the findings to improve future coding decisions.

Need an independent review of your coding quality?

DIT Health supports HCC coding audits, medical coding validation, and independent vendor reviews. Contact DIT Health to discuss your audit requirements and learn more about the free 50-chart pilot.

Frequently Asked Questions About Medical Coding Audit Services

1. What is the purpose of a medical coding audit?

A medical coding audit evaluates whether assigned codes are accurate, supported by clinical documentation, and consistent with applicable guidelines. It helps healthcare organizations identify discrepancies and improve coding quality.

2. Why should healthcare organizations use independent coding auditors?

Independent auditors provide an additional assessment of completed coding work. They can identify recurring errors, documentation gaps, and inconsistencies that may not be detected through routine internal quality checks.

3. What is the difference between medical coding auditing and coding validation?

Coding validation checks whether specific assigned codes are accurate and supported. Medical coding auditing is a broader structured assessment that may also examine error patterns, quality controls, reporting practices, and compliance risks.

4. How often should medical coding audits be performed?

Audit frequency depends on coding volume, organizational risk, regulatory requirements, and previous findings. Healthcare organizations may use periodic reviews or targeted audits following workflow changes, vendor transitions, or quality concerns.

5. Can medical coding audits identify HCC risk adjustment errors?

Yes. HCC coding audits can identify unsupported diagnoses, incorrect code specificity, and documentation gaps. They help organizations evaluate whether reported conditions meet applicable risk adjustment coding requirements.

6. Are outsourced medical coding audit services suitable for health plans?

Yes. Health plans can use qualified external reviewers to evaluate internal coding activities or vendor performance. Appropriate oversight, data security safeguards, defined audit criteria, and clear reporting remain essential.

7. What should healthcare organizations look for in a medical coding audit company?

Look for relevant coding expertise, documented audit procedures, appropriate security controls, transparent quality metrics, and actionable reporting. The provider should understand the organization’s specific coding and compliance requirements.

8. Do independent medical coding audits guarantee compliance?

No. Independent audits can identify potential errors and strengthen quality controls, but they cannot guarantee compliance. Healthcare organizations remain responsible for addressing findings and meeting applicable regulatory requirements.