Prior authorization denials have steadily increased in recent years, becoming a concern for healthcare providers. Data from the American Medical Association (AMA) shows denials on inpatient accounts rose from 1.5% of gross revenue in January 2021 to 2.5% in August 2022. Though these percentages might seem small, the financial impact is significant. A growing portion of gross revenue is tied up in denied claims, causing delays in reimbursement, higher administrative costs, and more complicated revenue cycle management.
Medicaid managed care presents a particularly notable challenge. A 2023 report from the Office of Inspector General (OIG) found that Medicaid Managed Care Organizations (MCOs) had a denial rate of 12.5%, more than twice that of Medicare Advantage plans. Since nearly 75% of Medicaid beneficiaries are enrolled in MCOs, the volume of denied claims has a large effect on provider cash flow.
Denials affect more than just finances. They place strain on administrative teams and delay patient care. Nearly 20% of Medicaid enrollees report issues with prior authorizations, leading to frustration and disruptions in care. Managers and IT staff recognize that these delays can reduce patient trust and satisfaction, which can impact an organization’s reputation.
These causes often overlap, contributing to growing denial volumes that harm billing accuracy and cash flow.
Denials cause more than just immediate loss of income. Some effects include:
Patients experience delayed diagnostics or treatments and unexpected bills when services are denied after care. This reduces patient satisfaction and can lead to negative experiences.
Verifying insurance eligibility and benefits before service plays a key role in reducing denials. Automated, real-time checks ensure prior authorizations are requested only when needed and clarify patient financial responsibilities upfront. This approach lowers denial chances and prevents surprise bills.
Tools that identify insurance coverage across different payers and update electronic health record (EHR) systems with accurate data help providers estimate patient liabilities better. Integrating demographic and coverage information also improves collections and reduces guesswork during financial screening.
Reducing denials requires multiple approaches focused on automation, staff training, accurate documentation, and smooth workflows.
Denials over medical necessity make up a large portion of all claim denials. These occur when payers disagree with providers on whether a service was essential. Differences in interpretation, incomplete documentation, or coding errors often cause these issues.
The CMS Two-Midnight Rule introduced in 2013 encouraged clinical judgment rather than length of hospital stay for medical necessity. Nevertheless, inconsistencies remain, particularly with Medicare Advantage Organizations. The 2024 CMS Medicare Advantage and Part D Final Rule aims to improve consistency but changes may be slow.
Unresolved medical necessity denials reduce provider revenue and create extra work through appeals. Patients may suffer delayed care or face unexpected bills due to retroactive claim denials.
Artificial intelligence (AI) and automation are important tools for managing prior authorizations and lowering denial rates. AI-driven phone systems can automate communication with patients and payers, reducing administrative load and freeing staff for other work. These systems handle routine eligibility verification, collect patient data, and assist with scheduling.
AI tools integrated with electronic health records can automate prior authorization requests by scanning patient data and matching payer rules. They auto-generate forms, submit electronically, and update authorization status in real time, reducing the need for manual follow-up.
Robotic Process Automation (RPA) identifies errors like wrong codes or missing documents before claims are filed, prompting corrections. Machine learning models analyze past data to predict which claims may be denied, allowing preventive action.
Using AI and automation shortens processing times, lowers denial risk, and improves revenue cycle management. It also benefits patients by reducing delays and unexpected charges.
Medicaid managed care has higher denial rates than other payers, making technology adoption especially useful. Since Medicaid pays a large share of healthcare expenses, states and providers employing automation and AI can lessen the burden of denials.
The 2024 CMS Managed Care final rule calls for better transparency and oversight of prior authorizations in Medicaid MCOs. Practices serving many Medicaid patients should prioritize advanced prior authorization and eligibility tools that comply with these regulations.
Medical practice leaders and IT professionals must address high prior authorization denial rates to protect revenue, reduce administrative load, and sustain patient satisfaction. Denials stem from clinical, coding, and administrative issues, but many can be prevented with focused strategies.
Key measures include automating prior authorization workflows, improving coding and documentation, verifying eligibility in real time, using denial management tools, and considering outsourcing where helpful. Incorporating AI and automation technologies can enhance these efforts.
As payer requirements evolve and regulatory scrutiny grows, organizations that implement these approaches will better handle denials and streamline revenue cycles.
Pre-service tasks like insurance eligibility verification, prior authorizations, and clarifying patient financial obligations are fundamental for a resilient and efficient revenue cycle, setting the stage for financial health and an enhanced patient experience.
Automating prior authorizations reduces dependency on manual processes, streamlines submissions, and increases accuracy, thereby minimizing denials and enhancing financial performance.
High denial rates can significantly impact revenue, increasing denial percentages from 1.5% to 2.5% of gross revenue, thereby necessitating effective identification and resolution of root causes.
Efficient coverage discovery enhances workflow efficiency and patient record accuracy, enabling organizations to collect full payments by identifying and verifying active insurance coverage.
Automation reduces the need for staff to leave their primary workflow in EHRs, allowing for faster submission of prior authorization requests and real-time updates on authorization status.
Sophisticated tools that integrate demographic and coverage information can significantly improve patient financial clearance by providing accurate estimates and enhancing billing processes.
Comprehensive eligibility and benefits management helps mitigate claim denial issues and improves patient payment success by ensuring accurate and real-time eligibility information access.
Automating prior authorization forms allows for faster submissions with minimal human intervention, reducing administrative burdens and operational inefficiencies.
Essential takeaways include the importance of pre-service processes for a healthy revenue cycle, the role of automation in reducing denials, and the need for advanced patient financial clearance tools.
Embracing technology and best practices in pre-service components streamlines operations, positions organizations for financial success, and enhances overall patient experiences.