Risk Adjustment CodingPosted on

Risk Adjustment Coding – Challenges And How To Get It Right

Risk Adjustment Coding

Risk adjustment coding is a vital part of any managed care organization. It helps to ensure that patients are appropriately diagnosed and documented accurately according to risk level, which in turn allows the organization to receive appropriate capitated payments to provide all the care needed to reduce avoidable hospitalizations and achieve maximum health. And regardless of how  challenging and time-consuming it can be to implement, getting it right is vital on many levels. Diagnosing and coding for risk can be tricky. 

 

It is not always obvious how complex and risky a condition is, especially because some patients are at higher risk than others for diseases like depression or schizophrenia, but many conditions can be difficult to diagnose. Those who appear low-risk might actually be high-risk, once you dig deeper into the specific diagnosis details. There are thousands of potential codes and conditions to diagnose that can be used to determine risks. There is no perfect formula for every managed care organization; you have to find protocols for training and improvement that work best for your clinicians and operators. Let’s take a look at some of the challenges involved in risk adjustment coding and how to get it right.

 

Determining risk is difficult

When implementing a risk adjustment program, make sure you have a team on hand with strong coding and data management skills. These team members should be able to look at each patient record and determine both the conditions that have been diagnosed as well as the documentation criteria to be  applied to that patient in the chart. This team will be responsible for determining and documenting  diagnoses that correlate to the risk level of each patient. This task can be difficult since mastering HCC coding for risk adjustment requires a lot of learning and is often different than standard ICD-10 coding. But there are modern tools for mastering this, so do not lose hope.

 

Risk adjustment requires a lot of data

Risk adjustment also requires a lot of data. The more information you have about each patient, the better you are able to diagnose based on their true conditions and related risk. If you do not  have enough data about a patient, or lack consistent data throughout the lifetime of a patient relationship, you will have a hard time determining their true risk level. 

 

For example: Patient A has been a patient for 10 years, and Patient B has been a patient for 2 years. If you’re trying to diagnose the patients, you’ll have to take into account their lifelong risk factors and current health status. This includes things like socioeconomic status, age, family history of certain diseases, how much they smoke, and more. If you have a few years of data points on Patient A, and only a few months of data points on Patient B, you’ll be able to diagnose Patient A more accurately.

 

Coding errors are common

Coding errors are common in risk adjustment, but they can be avoided with consistent training, accountability, strict internal audit procedures, and improved clinician buy-in. Coding errors can lead to overcharging or undercharging the CMS, resulting in either missed earnings or painful charge-backs. Coding errors can be caused by a number of different factors. For example, mistakes could be made when determining which diagnoses apply to patients, which codes to use for the diagnoses, or what to document to justify the diagnosis in the chart. Diagnoses require clear communication as well as consistent documentation on all patient records.

 

It is only going to get harder.

The bad news is that risk adjustment is only going to get harder. New technologies like AI, voice recognition, and machine learning are changing the way health care providers analyze and manage data. While these technologies will make many aspects of coding and managing data easier, they will also make it more complex by introducing even more variables and data points to consider. So while risk adjustment could be more challenging, there are tools available that simplify the process both in training and inside the EMR.

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Conclusion

Risk adjustment is vital, because it ultimately determines what type of care an individual patient needs and how much risk the organization is taking on, managing that care. It is important to ensure that your organization is accurately diagnosing and documenting so that patients stay healthy and your organization has the needed revenue to manage their care.

4 KEY HCC Coding Challenges Clinicians FacePosted on

4 HCC Coding Challenges All Clinicians Face

4 KEY HCC Coding Challenges Clinicians Face

As the U.S healthcare system transitions towards value-based payment models, independent clinicians and physician groups continue to face HCC coding challenges that not only impact their bottom-line, but patient care as well. On top of all this, the pandemic has added a significant burden to the already stretched clinician workload.

 

Here are 4 key HCC coding challenges clinicians are facing now, and how they can overcome them.

 

  1. Physician training for HCC coding – Physicians are already working tirelessly to provide excellent care to their patients. Asking them to learn HCC coding through brute-force via zoom calls, classroom seminars and email blasts is a bridge too far. On the other hand, the focus on value-based care has made it imperative for physicians to know and understand HCC coding so that they can accurately document patient records. So clinicians know they need to know, they just don’t have an effective and engaging mechanism for efficient and effective learning.

 

  1. Revenue impact due to incorrect coding – Accurate HCC coding is necessary for accurate reimbursements and patient care, and inaccurate coding can directly impact the bottom line. That is why it is imperative that clinicians and staff be well trained in HCC coding. And the complexities don’t stop there. HCC codes not only impact RAF scores, they also interact directly with patient care, and a fair level of decision support is required , as HCC codes are not intuitive.

 

  1. Poor HCC integration with EMR systems – When HCC coding does not integrate with the EMR, it creates a complex struggle for clinicians and physician groups. This not only leads to unintentional errors, but makes workflows more difficult and adds to the burden of an already heavy workload. It is critical to put a system in place that teaches clinicians to accurately document HCC codes on every patient, and integrates within the EMR.

 

  1. Lack of trained HCC coding professionals – Staffing shortfalls not only plague small practices, but larger physician groups are short-staffed as well. A lack of well-trained staff may be related to revenue or rising salaries, which sometimes small practices are unable to sustain. And when larger hospitals acquire smaller practices, a shortage of trained staff is often just one side-effect. Training clinicians and non-clinical staff on HCC coding is vital.

 

Transitioning to a value-based care model will never be seamless until these challenges are solved. How? With our unique suite of HCC education and EMR integration tools, enabling physicians to learn HCC coding and integrate an AI-powered HCC coding system into their existing EMR platforms to drive efficiency and accuracy.

 

To learn how our HCC coding app lets physicians train for HCC coding click here.

 

To understand how our EMR integrated platform works, click here.

What is HCC Coding?Posted on

What is HCC Coding: Risk Adjustment Models in Value-Based Care

What is HCC Coding?

What is HCC coding? 
HCC stands for hierarchical condition category. It is a risk-adjustment coding model exclusively designed for estimating future healthcare costs for patients. The process of HCCs medical coding started in 2004, but it recently gained popularity due to payment models shifting from fee-for-service (FFS) to value-based care (VBC) arrangements.

What is HCC Coding and Risk Adjustment?


Fig 1. Out of 70,000+ ICD10 codes, approximately 9,500 ICD10s map to a hierarchical condition category. Each HCC ICD10 is subsequently bucketed into 86 individual “condition categories.”

What is HCC Coding and Risk Adjustment?


Fig 2. Each of the 9,500 HCC codes are put into one of 86 condition categories. Each condition category carries a specific RAF. No matter how many ICD10 conditions a patient has in the same category, they will only be assigned the RAF score one time.

 

Medicare assigns a risk score known as a risk adjustment factor (RAF) to each of the 86 individual condition categories. RAF scores of patient populations are subsequently used by Medicare and other payors to predict the cost of care, which influences reimbursements.

For the remainder of this article, we will explore the rationale behind HCC coding and why all providers (even those NOT in a value-based care arrangement) should care.

Why should doctors care about HCC coding?

HCC coding is the cornerstone of most value-based care arrangements. Today, “value-based care” is used synonymously with Medicare Advantage, but in the near future, we believe all forms of reimbursement will be tied to some VBC arrangement.

 

HCC coding falls under the broader term of risk adjustment (RA) models where patient care is paid based on a prospective payment model. Specially designed RA models are used to determine risk scores for patients. In the Medicare Advantage world, these models use the demographics and HCC diagnoses of the patient to assign a risk score known as an RAF. The assumption is the sicker the patient, the higher the RAF, the more dollars it will take to care for this patient during any given year. Therefore the RAF score of any patient population will determine the prospective payment Medicare disburses.

This prospective payment model based on RAF does 2 things:

 

1. Aligns physician incentives. Currently, clinicians make money from taking care of sick patients. The sicker the patient, the more visits, tests, surgeries they have to do, and the more they are reimbursed. In this model, clinicians are incentivized to keep patients healthy and therefore require LESS tests and surgeries.

 

2. Spurs clinical innovation the right way. Right now, pharmaceuticals and medical hardware companies are all trying to find ways to treat diseases. The newer the drug or medical device, the more revenue they make. In this model, healthcare groups are incentivized to find new ways of preventing the disease progression from ever needing the latest drug or newest medical surgery equipment.

 

As Medicare and payers alike are starting to take notice of #1 and #2 above, the market is now trending towards building in value-based care drivers to all types of patients outside of Medicare Advantage. It’s unlikely a brand new risk model will be born for commercial patients. Therefore, all physicians will need to understand the risk adjustment models and the implications of documentation accuracy for reimbursement.

Conclusion

 

HCC coding is here to stay and will only grow in the years to come. While the market has heavily leveraged medical coders or third party vendors to do much of the lift thus far, V2 of Value-based Care will require all clinicians to understand and participate in it for every patient visit.

 

HCC coding’s importance is less about the impact on revenue and more about the shift towards VBC models, which have consistently shown better clinical outcomes at lower costs. In our next 2 posts, we will dive deeper into the financial implications of HCC coding, HCC coding tools,  and the clinical outcomes associated with VBC in 2021.

 

— DoctusTech Team

 

Sources
https://www.inovalon.com/inovalon-insights-blog/hcc-coding-improve-risk-adjustment/
https://www.asahq.org/quality-and-practice-management/managing-your-practice/timely-topics-in-payment-and-practice-management/an-introduction-to-hierarchical-condition-categories-hcc
https://www.3mhisinsideangle.com/blog-post/hcc-coding-whats-the-big-deal/
https://www.aafp.org/fpm/2016/0900/p24.html