Risk adjustment is a key part of payer strategy. Here’s how you can get it right, improving business performance and healthcare outcomes.
Risk adjustment in healthcare is fundamental to ensuring equitable reimbursement for insurance payers. Payers who get it right improve business performance and healthcare outcomes.
However, payers need massive amounts of data to accurately forecast a patient’s potential health challenges and current risks. Read on to learn how risk adjustment shapes payer strategy and how you can sharpen your insights into population health.
Risk adjustment in healthcare is a calculation that scores patient health to help predict future healthcare costs based on:
This process relies on using patient characteristics, including demographics, claims history, and prescriptions, to predict the cost of care. Payers increasingly consider social determinants of health (SDoH) as part of this calculation as well, because of their significant impact on healthcare costs.
Payers apply statistical models to this data to anticipate future health costs and assign risk scores, which The Centers for Medicare & Medicaid Services (CMS) defines as “a number representing the predicted cost of treating a specific patient or group of patients compared to the average Medicare patient.”
By accurately assessing the health risks of enrollees, risk adjustment ensures that payments reflect the cost of care based on measured population health, promoting better health outcomes and financial stability.
Risk adjustment impacts payers, providers, and patients in many ways, which makes getting it right all the more important. From business intelligence to improved health outcomes, here’s how a fine-tuned view of risk improves performance across the board for payers.
Risk adjustment helps maintain financial stability for health plan payers by adjusting payments based on the risk profile of the insured population. It softens the financial impact of covering a large group of high-cost individuals, ensuring that payers can manage their risk pools.
Accurate risk adjustment in healthcare means that payments reflect the true health risk of enrollees. As a result, risk adjustment helps organizations provide the appropriate care for high-risk members. This can lead to better health outcomes and lower overall costs in the long term, encouraging preventive care and proactive management of chronic conditions.
By adjusting payments based on the risk profile of the insured population, risk adjustment helps maintain financial stability for insurance payers. It softens the financial impact of covering a large group of high-cost individuals, ensuring that payers can manage their risk pools.
Risk adjustment creates a level playing field in the highly competitive payer market. It prevents insurers from gaining an unfair advantage by selectively enrolling lower-risk individuals and encourages competition based on the quality and efficiency of care rather than risk selection. A detailed understanding of risk also allows payers in VBC to perform better, wasting fewer resources and competing at the top of the field.
Many health insurance markets, especially those regulated by the government (like Medicare Advantage), mandate risk adjustment as part of their framework. Insurers must comply with these regulations to participate in the market and avoid penalties or exclusion.
Here are six ways a data analytics platform sharpens risk adjustment for payers:
Advanced analytics help payers calculate more precise reimbursements, eliminating guesswork and waste. In a sea of data, an analytics platform can sift through multiple systems, like EHRs and payer files, to zero in quickly on conditions.
Check out Arcadia’s risk suspecting engine →
With data analytics, payers can accurately categorize members based on specific risks, disease profiles, and demographic information. From there, you can connect members to the resources they need to stay healthy. This promotes personalized experiences and customized health and wellness benefits, enhancing the overall quality of care.
Learn more about Patient Registry →
Data analytics helps payers identify where interventions can have the greatest impact, enabling them to use resources wisely to achieve and maintain financial stability. Payers can focus their efforts effectively by pinpointing high-risk individuals and areas needing attention.
With data analytics, you can regularly check member health — and check in on risk — without the burden of manual processes. As a result, data analytics enables you to save time by automating reports and everyday tasks.
Data analytics lets you assess healthcare payments and allocate resources fairly based on the health risk profile of individuals or entire populations. This enhances equitable financial arrangements and reimbursement for healthcare services, ensuring that all members receive appropriate care.
Learn more about Arcadia’s Health Equity Package →
Providers play a crucial role in the risk adjustment process. An engaged partnership between providers and health plans is essential for delivering valuable benefits to enrollees.
A sophisticated data platform lets providers avoid documentation gaps, ensure proper coding with a user-friendly interface, and capture conditions retrospectively. Accurate diagnostic codes submitted by providers help identify the types of programs needed and the specific members who would benefit most.
Enable retrospective condition capture with Arcadia Assess →
Pinpointing risk adjustment carves a path to fair compensation, financial success, better coverage, and a competitive edge. Data analytics sharpens those insights, revealing opportunities early so you can act fast. Reach out to our sales team to learn how you can leverage this powerful tool with Arcadia’s software.