HCC Capture for Retrospective Chart Reviews

Identify missing or incomplete information in a patient’s medical record

Retrospective Chart Review Solution

Retrospective Chart Review Solutions

Before claiming Medicare Advantage (MA), ACA, Managed Medicaid, and Medicare ACO’s care reimbursements, it is essential for health plans, medical coding companies and risk adjustment vendors to ensure that all the necessary documentation has been collected and reviewed thoroughly. A retrospective medical chart review solution can help healthcare providers identify any missing or incomplete information in a patient’s medical record.

This process involves examining past medical records to check for any discrepancies or gaps in treatment history. It helps providers identify areas where they may have missed out on billing opportunities and ensures that claims are accurate and complete before submitting them for reimbursement.

Retrospective chart reviews not only improve claim accuracy but also provide valuable insights into the quality of care being provided by healthcare facilities. By identifying patterns and trends in patient outcomes, providers can make data-driven decisions to enhance their services’ effectiveness.

This review process helps promote compliance with regulatory requirements such as HEDIS (Healthcare Effectiveness Data and Information Set) measures, which are used to assess the performance of value-based care organizations.

Conducting a retrospective medical chart review is an important step toward ensuring accurate billing while improving overall patient care quality.

HCC Capture Brochure

Your Personalized AI-Powered Risk Adjustment Coding & QA Platform

Key Benefits

Increase Coding Productivity & ROI

Review the chart in less than 3 clicks with a consolidated view of all records and Auto Code Suggestions

Accurately Capture HCC Codes

Enhance your accuracy with a complete audit trail and MEAT evidences (or gaps) for all identified HCCs

Streamline Project Operations

Get real-time project visibility of your operations and automate manual processes with custom-designed solutions

Key Features of HCC CAPTURE

Auto-capture HCC codes based on MEAT criteria

Automate capturing and verification of HCC codes according to the MEAT risk adjustment guidelines in few clicks.

HCC coding
Risk adjustment

3 click chart review for risk adjustment

CMS-HCC risk adjustment solution for medical coders & auditors to review charts in 3 clicks.

In-built AI-powered diagnosis codebooks

Enhance the accuracy of HCC coding and risk adjustment while improving efficiency and reducing errors.

HCC risk adjustment

Make the Most out of RAAPID’s AI Risk Adjustment Technology

Years of Healthcare & AI Experience
> 0
Healthcare Clients Served
> 0
Return On Investment
> 0 X
Increased Efficiency And Productivity
> 0 %
Complete, Defensible Risk Scores
> 0 %
Reimbursement Accuracy
> 0 %

Data Use Security Measures

Security | Compliance | Platform Partners


SOC 2® Type 2

We undergo routinized audits to receive updated SOC 2® Type 2 reports, available upon request and under NDA.

HIPAA Compliant

HIPAA Guidelines

Ensure the safety of patient's personal health information when conducting medical chart reviews via HCC CAPTURE.


Platform Partners

Effective protection measures are in place to safeguard this sensitive data from cyber threats and other risks.

How HCC Capture Works

HCC Capture Works
HCC Capture Works

Client Testimonials 

FAQs related to retrospective chart review solutions

Retrospective chart review solutions offer a way to gather more complete data on patients’ health status and history, which can lead to more accurate risk assessments.

By analyzing past medical records, retrospective chart reviews can identify conditions that may not have been previously documented or diagnosed. This information can then be used to adjust risk scores and ensure that patients receive appropriate care.

In addition, retrospective chart reviews can help healthcare providers identify areas where there may be gaps in documentation or missed opportunities for diagnosis and treatment. By addressing these issues, providers may be able to improve patient outcomes and reduce costs over time.

Overall, incorporating retrospective chart review into the risk adjustment process has the potential to benefit both patients and healthcare providers by improving accuracy in calculating risk adjustment factor (RAF) scores while identifying opportunities for better care delivery.

Risk adjustment is a crucial aspect of healthcare that helps to ensure adequate compensation for medical care and treatment. In the modern era, with ever-evolving medical practices and advancements in technology, it has become increasingly difficult to keep up with the latest trends while also maintaining an accurate risk assessment.

This is where retrospective medical chart review solutions come into play. By utilizing advanced algorithms and machine learning techniques, these solutions can help health plans, medical coding companies, and risk adjustment vendors to bridge any gaps in their understanding of current practices while simultaneously identifying areas where improvements can be made.

Risk adjustment is a crucial aspect of healthcare that ensures fair reimbursement to providers based on the health status of their patients. However, it can be a complex and time-consuming process that requires advanced technology solutions to streamline the workflow. NLP-powered risk adjustment solutions are becoming increasingly popular in healthcare organizations due to their ability to automate diagnosis review and audit tasks.

By using natural language processing algorithms, these solutions can accurately identify relevant data from unstructured clinical notes, reducing the need for manual coding and improving accuracy rates. 

Moreover, these tools enable more accurate risk stratification by capturing subtle nuances in patient diagnoses and comorbidities that might have been missed otherwise. This helps providers better understand their patient population’s health needs and allocate resources accordingly.

Overall, NLP-powered risk adjustment software as a service solution offer significant benefits for healthcare organizations seeking to improve efficiency and accuracy while ensuring optimal reimbursement rates.

MEAT criteria offer a more comprehensive approach that takes into account not only diagnoses but also the patient’s overall medical status.

To accommodate these criteria, chart review solutions have become increasingly important. These solutions allow for thorough analysis of patient charts to identify all relevant data points that contribute to risk assessment. This includes not only diagnoses but also medications, lab results, and other factors that may impact a patient’s health.

With the right chart review solutions in place, healthcare providers can accurately assess and adjust for risk while ensuring they are paid fairly for their services. As we continue to navigate an ever-evolving healthcare landscape, incorporating MEAT criteria and effective chart review will remain essential components in delivering quality care while maintaining financial viability.

Choosing the right HCC code capture solution is crucial in achieving accurate risk adjustment results. Health plans, medical coding companies, and risk adjustment vendors must consider factors such as data accuracy, compliance with regulatory standards, ease of use, and integration capabilities when selecting an HCC code capture tool.

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