Get a Demo: (888) 783-5280 | JRaymond@ReportingMD.com
Get a Demo: (888) 783-5280 | JRaymond@ReportingMD.com

HCCS, Risk Adjustment Factor (RAF) Scores And ReportingMD

 

Risk Adjustment and Hierarchical Condition Category coding is a payment model mandated by CMS in 1997, originally created to estimate future costs for a patient. It was only implemented in 2004 and was designed to identify patients with serious or chronic illness and assign a risk factor score to the person based upon a combination of a patient’s health conditions and demographic details. As healthcare shifts towards more value-based payment models; HCC coding is becoming more prevalent of a topic.

Risk Adjustment Factor or RAF scores use a patient’s demographics and diagnoses to determine that patient’s risk score. This score measures how costly a patient is predicted to be for the current year. Within this payment model, patients in the same practice could have a different payment rate. The risk assessment data used is based off claims and medical records collected from doctors’ offices, in-patient hospital visits and outpatient clinics from the previous year.  A multitude of factors determine the amount of risk and work involved to maintain the health of a patient.  A patient’s RAF score is heavily weighted on HCC coding and documentation.

Medicare uses HCCs to reimburse Medicare Advantage plans based on their current members’ health.  HCCs are diseases or conditions organized into body systems or comparable disease processes that Medicare correlated with increased cost of care. Out of 72,748 ICD-10-CM codes, CMS identified 9,700 diagnoses associated with higher-than-average costs and then assigned them into 86 disease categories. Each of the 86 categories is then placed into a hierarchy of risk. The specific HCC category to which a diagnosis is assigned determines its contribution to the RAF calculation.

The top HCC categories include:

  • Major Depressive and Bipolar disorders
  • Asthma and pulmonary disease
  • Diabetes
  • Specified heart arrhythmias
  • Congestive Heart Failure
  • Prostate Cancer
  • Rheumatoid Arthritis
  • Colorectal, Breast and Kidney Cancers

As the shift in healthcare continues to happen, ReportingMD is shifting with it. ReportingMD has just released a new program within the Total Outcomes Management (TOM) application to capture the importance of HCC coding and RAF scores. The HCC related analytics are intended to provide insights that will drive network and provider performance management on risk scoring as it relates to CMS and Commercial payers.

 

 

Within in this module, the user will be able to view provider level risk scores from the prior and current years as well as the overall average risk score. Taking this information one step further, the user will be able to drill down to a provider specific report that will not only show the current risk score for that provider but also the usage of Unspecified HCC DX and Unsubmitted HCC DX.

ReportingMD is bringing the value of HCC coding into our TOM application by showing the user the patient level detail associated with HCC coding.  From the Provider RAF report, the user will be able to drill down to the Patient Panel Report which will be all patients associated with that provider.  This report will show the next appointment, number of ER visits, number of diagnoses codes, the number of unspecified HCC dx codes as well as the number of unsubmitted HCC dx and the patients risk score.

And lastly seeing the “whole” patient picture by drilling down on a specific patient will open Patient View.  This will allow you to see the unspecified and unsubmitted HCC dx codes as well as dates of last physical exams and emergency room visits.  Being able to view this information will help in getting a patient scheduled for these chronic conditions that need to be maintained and documented for improvement of the patient’s accurate risk score.

Providing this information to the user will allow them to identify areas that need further improvement or education when it comes to HCC coding.  Again, HCC coding directly correlates to your patient’s risk scores. Specificity is key when it comes to HCC coding and documentation.  A provider must report on each patient’s risk adjustment diagnosis, and it must be based on clinical documentation from a face-to-face encounter. For HCCs to be successful, the doctor can accomplish documentation standards by using MEAT.  MEAT is an acronym used to ensure the most accurate information is being documented for a patient:

 

M   –        Monitor signs and symptoms (disease process)

E    –        Evaluate (test results, meds, patient response to treatment)

A    –        Assess (ordering tests, patient education, review records,

counseling patient and family)

T    –        Treat (meds, therapies, procedure, modality)

 

HCC coding helps communicate patient complexity and paint a picture of the whole patient while also helping to predict healthcare cost utilization. The financial impact of optimizing HCC coding is significant as it directly impacts the money received by a healthcare organization from the largest single payer in healthcare, CMS. HCC coding is essential to the success of the Risk Adjustment program.

 With ReportingMD and the use of our new Analytics HCC Module, our clients have the potential to significantly impact both healthcare outcomes for the patient and revenue for the organization and its providers.

 

About Molly Minehan, VP of Operations & Innovation, ReportingMD:

          Molly brings over 15 years of data research, analysis, and reporting, including the last 10 years with ReportingMD. Molly’s years of experience in Center for Medicare Services (CMS) pay-for-performance reporting on programs including the Merit-Based Incentive Payment System (MIPS), Accountable Care Organizations (ACOs), Comprehensive Primary Care (CPC+), and other Value-Based Care programs. Management of Client Services department and team, which supports and guides practices and clinicians on Value-Based Care reporting and outcomes management.  Molly graduated from Wheaton College in Massachusetts.