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ACA Deadlines 2025

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Maximizing Revenue and Reducing Audit Risk: How Retrospective Risk Adjustment Can Help ACA Plans Meet 2025 Deadlines

Background

Here is some good news for payers: The final user fee rate for the 2025 benefit year is set to decrease the amount transferred from risk adjustment-covered plan issuers to the Federal Government by an estimated $11 million, offering significant financial relief to issuers.

Navigating the intricate landscape of the Patient Protection and Affordable Care Act (ACA) is no small feat, where every decision can have significant repercussions on financial stability.

The stakes soar particularly high when it comes to accurately assessing risk scores; even a few inaccuracies can transform a once-thriving portfolio into a substantial financial liability.

Audit studies of External Data Gathering Environment (EDGE) data reveal a troubling trend: many health plans routinely understate their risk scores by 10 percentage points or more.

To understand the gravity of this situation, consider that a mere 0.01 change in risk score can impact revenue by $2 to $3 per member per month (PMPM). For an ACA health plan managing 10,000 lives, such small inaccuracies can result in staggering losses of $2 million to $3 million. This isn’t just theoretical; the harsh consequences of artificially low-risk scores hit home for some ACA carriers during the 2014 transfer payments—a painful lesson that still resonates today.

Maneuvering Through the Nuances of ACA Risk Adjustment

A recent report from the Centers for Medicare and Medicaid Services (CMS) underscores that health plans continue to grapple with ACA Deadlines 2025 data submissions, even in the second year of the risk adjustment program. As we delve into the complexities of risk adjustment, it becomes clear that addressing these challenges is crucial for any health plan aiming to thrive in the ACA environment. This blog aims to shed light on the pressing issues facing small and medium ACA plans as they prepare for the 2025 CMS risk adjustment deadline.

Often constrained by limited resources, compliance challenges, and the ever-present threat of financial penalties due to inaccurate coding, these plans find themselves under intensified scrutiny from CMS RADV audit reviews. With the growing need for efficient chart reviews, RAAPID’s retrospective chart review automation emerges as the ideal tool to help these plans navigate the regulatory landscape and optimize their risk adjustment processes.

ACA Deadlines 2025 And How They Affect Health Plans

The CMS regularly gives a heads-up to insurance companies about the ACA Deadlines 2025 for submitting applications if they want to offer their health plans on the government-run insurance marketplaces (called Federally-facilitated Exchanges or FFEs). These health plans must meet certain rules laid out in the Affordable Care Act (ACA) to be certified as Qualified Health Plans (QHPs). Some rules apply to all health plans offered to individuals or small businesses, whether they’re sold inside or outside these marketplaces. Other rules specifically apply to plans looking for certification to be sold through the marketplace.

This bulletin applies to all states where the government runs or helps run the marketplaces. There are three types of states mentioned:

  • States that manage their own plan reviews and make recommendations to CMS.
  • States where CMS handles everything related to reviewing and certifying health plans.
  • States where CMS manages the process and enforces ACA rules, but the state still enforces its own local laws.

ACA Deadlines 2025 also apply to states that use the Federal Platform for their own
State-run exchanges. More information will be shared later for these states. CMS will review applications for health plans that want to be sold on the marketplace and decide whether to approve them.

But CMS won’t review plans that only want to be sold outside the marketplace, except for certain dental plans. The marketplace won’t show insurance products that aren’t QHPs, like vision or life insurance. Only certified QHPs, including dental plans, will be available on the marketplace.

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The Financial Impact of Accurate Risk Adjustment for ACA Plans

In the shifting healthcare landscape under the Affordable Care Act (ACA), HCC coding accuracy for ACA plans is crucial for maintaining financial stability.

As ACA plans face rising competition, effectively identifying and capturing risk-adjustable conditions can make the difference between profitability and losses.

Section 1343 of the Affordable Care Act (ACA) establishes a permanent risk adjustment program designed to support health insurance issuers that attract higher-than-average risk populations, such as individuals with chronic conditions.

  • The Zero-Sum Reimbursement Pool Challenge Unlike Medicare Advantage, the ACA risk adjustment program operates as a zero-sum reimbursement pool. This means that health plans compete for a fixed pool of funds to cover high-risk enrollees. Plans that can accurately identify and capture risk-adjusted conditions can gain a competitive advantage over others in the region, securing a larger share of the reimbursement pool.
  • Impact on Transfer Payments and Premium Rates Accurate risk adjustment influences both transfer payments and premium rates. If a health plan underestimates its members’ risk, it may set premiums too low, jeopardizing revenue and attracting enrollees with unknown health risks. Conversely, overestimating risk can result in higher premiums, making the plan less competitive. Thus, precise risk adjustment not only ensures fair compensation but also protects against revenue loss in the competitive ACA marketplace.
  • Competitive Edge and Revenue Protection Ultimately, accurate risk adjustment does more than build a clearer picture of member health—it offers protection against financial loss and secures a competitive edge in the ACA Marketplace, helping plans maximize their revenue in 2025.

Challenges Faced by ACA Plans with Retrospective Reviews

Smaller ACA health plans face specific challenges when conducting ACA health plan retrospective reviews, particularly as they prepare for risk adjustment audit readiness.

Here are some key challenges:

  • Manual Processes and Resource Constraints: Smaller plans often operate with limited resources, both in terms of technology and personnel. Retrospective coding can be highly labor-intensive, especially when medical record reviews are done manually. This reliance on manual processes increases the likelihood of errors and delays in submissions, which can directly affect risk adjustment transfers. Furthermore, smaller plans may not have dedicated teams to manage risk adjustment strategies comprehensively.
  • Implication for Retrospective Coding: A lack of automation and staff can lead to inefficiencies in ensuring coding accuracy, directly influencing the plan’s financial outcomes, particularly during RADV audits.
  • Inconsistent Coding: Accurate and comprehensive coding is vital for ACA plans to reflect the true health risk of their enrollees. Smaller ACA plans, which may lack advanced coding tools and streamlined workflows, are prone to inconsistent coding practices. Coding errors, such as missed diagnoses, can reduce the risk scores of enrollees, negatively impacting the plan’s risk adjustment transfers.
  • Risk for RADV Audits: Inaccurate or incomplete coding flagged during a RADV audit can result in adjusted risk scores that reduce reimbursements and negatively impact a plan’s financial position. This is especially detrimental for smaller plans with fewer financial cushions.
  • EDGE Server Protocols: The External Data Gathering Environment (EDGE) server is critical in ACA risk adjustment as it hosts the data that is used for CMS risk transfer calculations. For smaller plans, keeping up with these protocols and ensuring that their EDGE server data is complete and accurate is a resource-intensive challenge. Failing to populate EDGE servers with accurate data from retrospective reviews can lead to substantial financial losses.
  • Challenges for Smaller Plans: Without proper monitoring, plans risk underreporting or failing to reconcile claims and diagnoses on their EDGE servers. This can lead to lower risk scores, adversely affecting their risk adjustment transfers.
  • Financial and Competitive Pressure: ACA risk adjustment is a zero-sum game, meaning that inefficient management by one issuer directly benefits competitors. Smaller plans that fall behind in terms of coding accuracy or EDGE server reporting may find themselves on the “wrong side of the industry bell curve,” where competitors with stronger risk adjustment strategies claim a larger portion of the market’s funds.
  • Long-term Consequences: Over time, smaller plans without proper coding and reporting strategies may face significant financial risk, making it difficult to catch up to competitors who invest in best-in-class AI-powered risk adjustment solutions.
  • RADV Audit Pressure: RADV audits serve as a validation mechanism to ensure that ACA issuers accurately report their enrollees’ risk profiles. Smaller plans often struggle with audit preparation due to limited resources and inconsistent coding practices. Any discrepancies uncovered in these audits could lead to a recalculation of risk adjustment transfers, reducing revenue.
  • Impact of RADV Audits: For smaller plans, errors identified during RADV audits can have an outsized impact on financial outcomes. Because ACA plans operate in a zero-sum environment, a single plan’s risk adjustment transfer recalibration impacts all other issuers in the state market risk pool.
  • Lack of Advanced Analytics and Tracking: Reporting, tracking, and analytics are crucial for ensuring the accuracy of risk adjustment submissions. Smaller plans may lack sophisticated risk analytics tools, which can hinder their ability to benchmark risk scores and reconcile data.

How RAAPID’s Retrospective Solution Can Help

In the dynamic healthcare landscape, managing risk adjustment challenges is essential to avoid compliance risks, especially during RADV audits. RAAPID’s AI-enabled retrospective solution, driven by healthcare AI compliance tools, provides a transformative way to tackle these challenges head-on.

  • Efficient ACA chart retrieval process for Improved Accuracy: RAAPID’s advanced cNLP tool automates the extraction of clinical data from medical records, ensuring accurate identification of medical conditions and their severity. This process is tailored to RADV audit requirements, giving health plans a comprehensive view of patient health and boosting coding accuracy for ACA plans.
  • Meeting the MEAT Criteria for Documentation Quality: The tool goes beyond simple data extraction by adhering to MEAT (Medical Evidence, Assessment, and Plan) criteria, synthesizing data into cohesive narratives that support proper documentation for accurate diagnoses. This ensures the inclusion of all critical elements needed for CMS risk adjustment 2025 compliance.
  • Enhancing Compliance and Minimizing Audit Risks: By automating the HCC coding accuracy for ACA plans through cNLP, RAAPID minimizes compliance risks and significantly reduces the burden of retrospective chart reviews. This not only enhances audit readiness but also enables smaller ACA plans to confidently navigate the complexities of RADV audits.
  • Optimizing Financial Outcomes in 2025: By leveraging RAAPID’s advanced capabilities, ACA plans can ensure robust risk adjustment practices that align with regulatory requirements. With accurate risk capture, plans can expect optimized transfer payments, positioning themselves favorably for the upcoming ACA Deadlines 2025.

Avoiding CMS Audit Risks with RAAPID’s AI-Powered Accuracy

In today’s healthcare environment, the risk of CMS RADV audit penalties has increased due to evolving regulations. Failing these audits can lead to severe financial penalties and the need to repay reimbursements for non-compliant claims. To mitigate this risk, health plans need robust solutions that ensure maximizing ACA plan revenue in 2025 by leveraging RAAPID’s advanced capabilities, which strongly fortify ACA health plan retrospective reviews and compliance processes.

Leveraging NLP-Powered Retrospective Solutions

RAAPID’s AI-powered Natural Language Processing (NLP) technology offers a highly effective tool for health plans to manage their risk adjustment processes. By automating the extraction of clinical data from medical records, claims, and other documentation, RAAPID helps identify key diagnostic codes with precision. This enhances both HCC coding accuracy for ACA plans and audit preparedness.

Planning for ACA Risk Adjustment Data Submission Success in 2025

As we approach ACA deadlines in 2025 under the Patient Protection and Affordable Care Act (ACA), health plans must strategically prepare for the complexities of risk adjustment data submission. This is especially crucial in light of the heightened financial stakes associated with risk adjustment transfers and the External Data Gathering Environment (EDGE) server protocols. The significance of accurate data submission cannot be overstated; as with year-end assignments, health plans must diligently populate these servers with critical information, which the Centers for Medicare and Medicaid Services (CMS) will use for annual risk transfer calculations. Any lapses in performance could lead to serious financial repercussions.

Strategies for Success

  • Establishing Accountability: To mitigate risks associated with data submission, health plans must foster a culture of accountability. Each issuer should designate clear ownership over the risk adjustment process, ensuring that stakeholders from various functional areas are engaged in strategy development. Early involvement of diverse teams can help align objectives and create a comprehensive approach to planning.
  • Enhancing Coding Completeness: Accurate coding is a cornerstone of successful risk adjustment. Plans should implement initiatives that incentivize both providers and members, ensuring a balanced approach to diagnosis reporting. Leveraging ACA health plan retrospective reviews and prospective methods—such as member outreach and integrating suspected conditions into electronic health records (EHRs)—can significantly enhance coding accuracy, directly impacting risk transfers and overall financial health.
  • Robust Reporting Frameworks: A solid reporting and analytics framework is essential for effective risk adjustment management. This framework should include risk score benchmarking, EDGE server reconciliation, and adherence to evolving CMS guidelines concerning formulary transparency and prescription drug risks. By meticulously tracking and analyzing data, issuers can avoid missed opportunities and make informed decisions that bolster their financial stability.

Going the Extra Mile

  • Viewing Risk Adjustment as a Core Competency: Regarding ACA deadlines in 2025, risk adjustment should be considered a vital competency rather than a mere regulatory requirement. By adopting comprehensive strategies that incorporate the right people, processes, and technology, health plans can transform risk adjustment into a proactive, revenue-generating function. As we explore key components of the risk adjustment management framework in the lead-up to 2025, it is evident that proactive planning and organization-wide engagement are essential for navigating this intricate environment successfully.

Conclusion

In light of stricter CMS regulations and the financial stakes tied to ACA risk adjustment, health plans must prioritize accurate coding and efficient audit preparedness. Even minor errors in risk scores can lead to significant revenue loss, especially in a zero-sum environment. By leveraging AI-powered solutions like RAAPID’s retrospective tools, ACA plans can ensure compliance, enhance coding accuracy, and secure their share of the reimbursement pool, positioning themselves for success in 2025.

Source

CMS

govinfo.gov

milliman

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Disclaimer: All the information, views, and opinions expressed in this blog are inspired by Healthcare IT industry trends, guidelines, and their respective web sources and are aligned with the technology innovation, products, and solutions that RAAPID offers to the Risk adjustment market space in the US.