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Challenges in revenue cycle management and how AI technology can help

Published: February 7, 2024 by Experian Health

Challenges-in-revenue-cycle-management-and-how-AI-technology-can-help-blog

Racing against the clock to troubleshoot billing issues, claims bottlenecks and staffing shortfalls are just part of an average day for healthcare revenue cycle managers. It’s hard enough to maintain the status quo, never mind driving improvements in denial rates and net revenue. With integrated artificial intelligence (AI) and automation, many of these challenges in revenue cycle management (RCM) can be alleviated – and with just a single click.

Real-time coverage discovery and coordination of benefits software reduces errors and accelerates accurate claim submissions. This eases pressure on busy RCM leaders, so they have the time to focus on improving the numbers that matter most.

Top challenges in revenue cycle management

Efficiency is the currency of revenue cycle management. Maximizing resources is not just about keeping dollars coming in the door but about making the best use of each team member’s time and expertise. The ever-present call to “do more with less” is probably the biggest challenge. Breaking that down, some specific concerns that consume more time and resources than RCM managers would like, are:

  • Complex billing procedures: With hundreds of health payers operating in the US, each offering different plans with different requirements, providers have their work cut out to ensure claims are coded and billed correctly. Any errors in verifying a patient’s coverage, eligibility, benefits, and prior authorization requirements can lead to delays and lost revenue.
  • More claim denials: Inaccurate patient information and billing codes guarantee a denial. Beyond the rework and revenue loss, denied claims leave patients with bills that should not be their responsibility to pay, causing confusion, frustration, and higher levels of bad debt. Garbage in, garbage out.
  • Patient payment delays: A few years back, patients with health insurance represented about a tenth of bills marked as bad debt. Now, this group holds the majority of patient debt, according to analysts. The rise in high-deductible health plans combined with squeezed household budgets means patients are more likely to delay or default on payments. Providers must be on the lookout for ways to help patients find active coverage and plan for their bills to minimize the impact of these changes.

How can AI-powered revenue cycle management solutions help?

The Council for Affordable Quality Healthcare (CAQH) annual index report demonstrates how much time can be saved using software-based RCM technology. Case in point: switching from manual to automated eligibility and benefits verification could save 14 minutes per transaction. This adds up quickly when daily, monthly, and yearly transactions are factored in.

Predictive analytics can be used to pre-emptively identify and resolve issues and support better decision-making, giving providers a head start on those elusive efficiency gains.

Three specific examples of how automation, AI and machine learning can streamline the front-end and solve challenges in revenue cycle management are as follows:

1. Upfront insurance discovery to find and fill coverage gaps

Confirming active coverage across multiple payers gives patients and providers clarity about how care will be financed. But this can be a resource-heavy process when undertaken manually. Coverage Discovery uses automation to find missing and forgotten coverage with minimal resource requirements. By unearthing previously unidentified coverage earlier in the revenue cycle, claims can be submitted more quickly for faster reimbursement and fewer write-offs.

With Experian Health’s recent acquisition of Wave HDC, clients now have access to faster, more comprehensive insurance verification software solution. The technology works autonomously to identify existing insurance records for patients with self-pay, unbillable, or unspecified payer status and correct any gaps in the patient’s coverage information. The patient’s details are updated automatically so that a claim can be submitted to the correct payer.

2. Real-time eligibility verification and coordination of benefits

As it gets harder to figure out each patient’s specific coverage details, it also makes sense to prioritize automated eligibility verification. Eligibility Verification uses real-time eligibility and benefits data to confirm the patient’s insurance status on the spot.

Similarly, Wave’s Coordination of Benefits solution, now available to Experian Health clients through Patient Access Curator, integrates directly into registration and scheduling workflows to boost clean claim rates. It automatically analyzes payer responses and triggers inquiries to verify active coverage and curate a comprehensive insurance profile. This means no insurance is missed, and the benefits under each plan can be coordinated seamlessly for more accurate billing.

3. Predictive denials management to prevent back-end revenue loss

Adding AI and machine learning-based solutions to the claims and denials management workflow means providers can resolve more issues pre-claim to minimize the risk of back-end denials. Use cases for AI in claims management might include:

  • Automating claims processing to alleviate staffing shortages
  • Reviewing documentation to reduce coding errors
  • Using predictive analytics to increase operational efficiency
  • Improving patient and payer communications with AI-driven bots

All of these contribute to a front-loaded denials management strategy. While prevention is often better than a cure, AI can be equally effective later in the process: AI AdvantageTM arms staff with the information they need to prevent denials before they occur and work them more efficiently when they do.

Whatever new challenges may pop up on the RCM horizon, AI and automation are already proving their effectiveness in helping providers save time and money. But more than that, they’re giving busy RCM leaders the necessary tools to start future-proofing their systems for persistent and emerging RCM challenges.

Learn more or contact us to find out how healthcare organizations can use AI and automation to manage current revenue cycle management challenges with a single click.

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Manual prior authorization workflows represent one of the most tedious and expensive aspects of the healthcare revenue cycle. However, despite access to automated prior authorization software, only 31% of providers use electronic prior authorizations, according to the Council for Affordable Quality Healthcare (CAQH). The CAQH predicts that providers who switch to automated prior authorization software could not only gain back valuable staff time, but also see significant cost savings. What is prior authorization and why is it important? In healthcare, prior authorizations are when providers and payers decide in advance if a patient's insurance plan will pay for a specific treatment. Prior authorizations are crucial to reimbursements and keeping revenue cycles on track. Providers that offer services without prior authorization are unlikely to receive reimbursement from the patient's insurer. This can result in unpaid medical bills, leaving billing teams chasing patient collections or writing off bad debt. During the prior authorization process, providers submit a rationale for a proposed treatment to the payer. The request is approved or denied based on certain criteria, including payer policies and medical necessity. The payer may reject a prior authorization request if the treatment or service isn't covered under the patient's insurance plan, if it's not considered medically necessary or if a more affordable alternative is available. Simple paperwork errors, like missed deadlines or incomplete documentation when submitting a prior authorization, may also result in a denial. Challenges of manual prior authorization processes Despite the importance of prior authorizations in the revenue cycle, tedious manual prior authorization processes present challenges for many healthcare providers. Some of the key obstacles providers face using manual prior authorization include: Heavy administrative burden Healthcare providers spend a significant amount of time starting, completing and revising prior authorization paperwork. An AMA survey found that 86% of physicians say prior authorization has increased healthcare resource usage. At the same time, additional AMA data reports that providers spend around 13 hours working on 39 prior authorizations each week, and nearly one-third of providers report that these prior authorization requests usually end up being denied. Changing payer policies Keeping up with multiple payers and ever-evolving payer policies adds strain on staff and ultimately results in prior authorization denials. Changes are often unannounced, making it hard for providers to stay on top of updates. As a result, prior authorization submissions aren’t always accurate and may be based on outdated rules. This can lead to instant rejection and wasted time correcting and resubmitting requests. Inefficient workflows Prior authorization requirements can be complicated, especially when providers are juggling different payers, standards and service lines. Coping with these complexities often puts strain on manual systems, especially when multiple staff and notetaking methods are involved. Staff members may each get different pieces of information from payer websites (or over the phone) and not have the ability to benefit from their shared knowledge efficiently. Navigating communication hurdles and rapid payer information changes can result in workflow inefficiencies that snowball quickly. How prior authorization software can improve efficiency Replacing manual prior authorizations processes with automated prior authorization software can help providers improve efficiency. Here are some key ways providers benefit from automated prior authorization solutions, like Experian Health's Authorizations. Reduces manual interventions: This solution limits guesswork, human errors, and misinterpretations by automating data originating from the EMRs. Automation saves staff time and energy and prevents frustration. Stays current with latest payer policies: The prior authorization system stays up-to-date with the latest regulations and payer requirements. Automatic updates provide staff with the most current information, eliminating the need for staff to visit multiple payer websites or cross-check data by hand. Provides real-time updates: Providers can promptly clear authorizations for service by proactively identifying authorization status as pending, denied or authorized. This allows physicians to make timely treatment plans and for patients to avoid disruptions in care. Reduces risk of denials: Through automation, electronic prior authorization software ensures the accuracy and completeness of submissions by automatically checking with payers and vendors to validate that the authorization is on file. Payers and providers also get a shared view of account information, reducing the need for prolonged discussions about the status of authorization and rework requests. Key features to look for in prior authorization software When implementing prior authorization software, look for a solution that offers a wide range of features to automate and streamline the prior authorization process. Experian Health's prior authorization solution, Authorizations, for instance, offers healthcare providers the following key features: Real-time knowledgebase: Access to up-to-date prior authorization requirements and criteria in the National Payer Rulesets Submissions support: Removes guesswork and directs users to the correct payer portal based on procedure Automated inquiries: Automates the prior authorization payer inquiry process Enhanced workflow: Dynamic work queues display status and guides users through next steps Postback: Allows users to easily send authorization status, number and validity dates to health information systems (HIS) and practice management systems (PMS) Image storage: Receives and securely stores payer responses in an integrated document imaging system Reconciliation: Provides insights into authorization variations and helps resolve them, so staff can take proactive steps to prevent denials and appeals Integration with electronic health records and billing systems: Why it matters Providers often choose a prior authorizations platform that seamlessly integrates with existing Electronic Health Records (EHR) and billing systems for maximum efficiency. Solutions like Experian Health's automated prior authorization management tool, Authorizations, easily adapt to existing processes. This eliminates the need for a complete workflow overhaul and minimizes the learning curve for staff. Embracing prior authorization software for a more efficient revenue cycle Revenue cycle leaders who implement prior authorization automation strategies could see significant savings – $494 million annually as an industry, according to CAQH data.  Claims and revenue management processes are often complex and outdated, costing healthcare organizations time and money. High denial rates and slow reimbursements can hurt cash flow and get in the way of financial stability. Automating prior authorization can reduce claim denials, speed up reimbursements and improve the bottom line. Learn more about how Experian Health's electronic prior authorization software, Authorizations, uses automation to achieve greater consistency and efficiency for healthcare organizations. Learn more Contact us

Published: July 30, 2025 by Experian Health

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