At A Glance
From claim denials to staffing shortages, healthcare revenue cycle challenges are increasing. This article explores key issues and strategies to improve financial performance.
Key takeaways:
- Many revenue cycle management (RCM) challenges start with inaccurate patient data and inefficient intake workflows, resulting in downstream denials and reimbursement delays.
- Managing healthcare revenue cycle issues is becoming more difficult as organizations face staffing shortages, new payer requirements and rising healthcare costs.
- Automation and artificial intelligence (AI) revenue cycle management solutions, like Patient Access Curator™ (PAC), can help reduce manual work and improve data accuracy, and prevent errors from entering the revenue cycle.
Revenue cycle management challenges exist at every stage of the patient journey. Missing registration details, eligibility issues and coding errors can all get in the way of timely reimbursement, while leaving patients confused and dealing with unexpected bills.
This article examines the root causes of common healthcare revenue cycle issues and discusses how to improve revenue cycle performance through automation and AI.
What are the biggest healthcare revenue cycle challenges today?
Some of the biggest RCM challenges for healthcare providers include:
| Top RCM challenges |
| Inaccurate patient data: Errors in patient demographics, insurance information and authorizations trigger denied claims, delayed payments and wasted staff time. |
| Rising claim denials: Changing payer requirements and billing complexities are causing claim denial rates to increase, as shown in Experian Health’s State of Claims survey. |
| Collection delays: Patients are taking on greater financial responsibility as out-of-pocket costs rise, making collections more difficult for providers. |
| Manual processes and staffing shortages: Outdated workflows and disconnected systems create revenue leakage and additional administrative work that’s even harder to manage with fewer employees. |
Why is inaccurate patient data still a top revenue cycle challenge?
Inaccurate patient data remains a top revenue cycle challenge because errors collected during registration and check-in can lead to claim delays, denials and reimbursement issues throughout the revenue cycle. Experian Health’s annual State of Patient Access surveys consistently rank data accuracy among providers’ biggest concerns. While reported data accuracy improved in 2026, with 68% of organizations describing patient data as “very accurate” compared to 52% the previous year, front-end errors continue to create costly revenue cycle disruptions.
Providers should look for solutions that help verify coverage, eligibility, coordination of benefits and patient demographics sooner to stop front-end errors from causing problems downstream. For example, Experian Health’s Patient Access Curator uses AI to automatically identify and correct missing or inaccurate information in real time, so staff can work faster and use reliable data from the start.
How do claim denials impact revenue cycle performance?
Claim denials impact revenue cycle performance by delaying reimbursement, increasing administrative workload and diverting staff time toward preventable rework. Healthcare claims challenges are a major contributor to “wasted” healthcare dollars. A January 2026 poll by the Kaiser Family Foundation found that, in the previous two years, 33% of insured adults had coverage denied for a service or medication prescribed by their doctor. Denials at this scale have a significant impact on operational and financial performance by slowing reimbursement and diverting staff time toward preventable rework.
Providers laid out the challenge in Experian Health’s State of Claims survey, where 68% said submitting clean claims was harder than in the previous year. Many reported spending more time rerunning eligibility checks because of incomplete or inaccurate data.
Revenue cycle managers who want to prevent denials, rather than manage them, are increasingly turning to automation and AI-driven solutions. Solutions like Patient Access Curator help healthcare organizations address eligibility and coverage issues earlier in the revenue cycle, resulting in cleaner claims the first time. For denials that do occur, AI Advantage™ uses machine learning to identify those with the highest potential for reimbursement, so staff know where to focus their efforts.
What role does patient financial responsibility play in RCM challenges?
Collecting payments from patients remains a major bottleneck, particularly as patients assume a greater share of healthcare costs. As these costs increase, so does the risk of delayed payments and bad debt. Unclear pricing and coverage information only adds to the problem.
Price transparency and patient payment tools can help providers deliver more accurate estimates and make it easier for patients to pay for care. As patient balances grow, other solutions like Collections Optimization Manager can help organizations prioritize accounts and improve collections strategies with machine learning and segmentation.
Why are staffing shortages affecting revenue cycle efficiency?
Staffing shortages are affecting revenue cycle efficiency because teams are being asked to manage increasing workloads and greater complexity with fewer resources. Revenue cycle teams are under pressure to process higher volumes of work while navigating evolving payer requirements, coverage rules and reimbursement policies. Many tasks still rely on manual intervention to identify and resolve errors, creating additional strain on already stretched teams. As staffing gaps persist, even minor inefficiencies can lead to delayed payments, increased denials and higher administrative costs.
What are the root causes of RCM issues?
RCM issues persist because of a combination of operational, financial and administrative pressures, including:
- Strained resources: Tight budgets are making it harder for healthcare organizations to hire the right staff, invest in system upgrades and stay ahead of revenue cycle demands.
- Lack of patient access: Experian Health’s latest State of Patient Access survey found that every one of the top patient access issues in 2025 was ranked as a challenge by more providers this year. If patients cannot easily access the services they need, it will be much harder for providers to collect payments and keep revenue flowing.
- Increasing healthcare costs: As the cost of care and health insurance continue to rise, patients may be more likely to delay or default on payments. Medical expenses aren’t likely to go down, so providers must find ways to offer patients a simple path to payment.
- Frequent regulation and payer policy changes: Constant updates increase the administrative burden, while inefficient intake and verification processes contribute to compliance issues, claim delays and denials.
How can healthcare organizations overcome revenue cycle challenges?
Strategies to help busy RCM leaders improve revenue cycle performance and overcome revenue cycle challenges include:
- Automating patient access to streamline scheduling, registration and eligibility verification, and improve data accuracy from the start.
- Using AI-powered claims management tools to identify errors earlier, reduce denials and prioritize reimbursement opportunities more effectively.
- Simplifying the patient financial experience with accurate price estimates and convenient digital payment options, so patients better understand their financial responsibility and can make payments more easily.
- Building in data analytics so leadership can see what’s working and what’s not across the entire revenue cycle.
Turning RCM roadblocks into opportunities for growth
Revenue cycle pressures are unlikely to ease off anytime soon. Preparing for what comes next means being ready to adapt and remove friction before it gets in the way of patient satisfaction, staff performance or cash flow.
Healthcare organizations can stay competitive by embracing AI and automation-based revenue cycle management solutions to improve speed and accuracy. More efficient workflows and faster reimbursement can also create capacity for growth, such as seeing more patients, offering new service lines and improving strategies for attracting and retaining new patients.
With the right technology partner, RCM leaders can move beyond day-to-day firefighting and build revenue cycle processes that are ready to handle future demands.
FAQs
Healthcare revenue cycle challenges disrupt billing, reimbursement and payment collection throughout the patient journey. Common examples include inaccurate patient data, claim denials, staffing shortages and delays caused by manual administrative processes.
Healthcare organizations can improve revenue cycle performance by automating manual workflows, improving front-end data accuracy and using AI-driven tools. Experian Health’s research shows many providers are investing in automation and digital patient access tools to improve efficiency and financial performance.
Experian Health helps healthcare organizations improve revenue cycle performance through automation and AI-powered platforms for patient access, claims management and collections. Solutions like Patient Access Curator and AI Advantage can streamline an organization’s denial management workflow, leading to fewer claim denials and greater reimbursements.
Learn more about how Experian Health’s revenue cycle management solutions can help healthcare organizations overcome RCM challenges and increase revenue.
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