Medical billing software: the future of RCM

by Experian Health 5 min read May 7, 2024

Medical-billing-software-the-future-of-RCM

Medical billing is the first line of defense against claims denials. However, medical billing errors cost U.S. healthcare systems approximately $935 million weekly. Not only do preventable errors wreak havoc on providers’ revenue cycle, but patients say they’re frustrated at the time spent correcting these errors—45% spend up to one month on the back and forth between payers and provider billing teams.Better medical billing software can automate claims management at the beginning of the reimbursement process and eliminate the traditionally labor-intensive processes plagued by human errors. Medical billing software can also make it easier for patients to pay and understand their coverage eligibility for fewer surprises after their care encounter.

This article discusses how healthcare providers can implement these tools and set the stage for a better revenue cycle, happier patients, and more efficient care delivery.

Common problems with medical billing

Experian Health’s State of Claims 2022 report showed healthcare denials increasing substantially each year. Some of the most common medical billing errors include:

  • Medical coding transforms a healthcare service deliverable into reimbursable revenue. Yet Experian Health data shows that 42% of providers say inaccuracies in coding reporting lead to frequent claims denials. Coding errors delay reimbursement and, at worst, increase the risk of health system fraud, abuse fines, or even impact patient care with an incorrect diagnostic code.
  • Patient information errors, including missing or incomplete prior authorizations, are among the top three reasons for claim denials. Even a misspelled name or date of birth can cause the claim to return to the provider for correction. Problems with outdated medical records and manual data entry exacerbate these issues.

While each provider and payer has unique claims denial numbers to share, Medicare reports that the average volume of errors is just over 7%. Yet providers can’t take all the blame for the volume of clerical errors given the complexities of ICD-10 requirements. Medical Economics explains, “The Centers for Medicare and Medicaid Services (CMS) announced 395 new diagnosis codes, 25 deletions and 13 revisions for the fiscal year (FY) 2024 ICD-10 CM code set.”

Medical billing software is critical for preventing healthcare claims denials by keeping up with these complexities and avoiding human errors. What can the latest round of automated, artificial intelligence (AI) powered software do for the average healthcare provider?

Prevent claims denials with better medical billing software

Experian Health’s Patient Access Curator solution heads off claims denials before they happen. The solution incorporates AI to improve the accuracy of claims management at patient registration and billing. The system leverages logic that returns multiple data points from a single inquiry in 30 seconds – streamlining benefits coordination, lessening patient identifier errors, and spotting “hidden” eligibility. Some of the benefits include:

  • Faster and more accurate eligibility verification – Legacy medical billing software operates from a clearinghouse model. However, these tools often miss active, billable coverage and require extensive manual workflows to edit claims and appeals. AI eliminates the standard by-hand workarounds correlated with traditional billing software.
  • Better coordination of benefits (COB) – COB denials are common in healthcare. Many patients do not understand the intricacies of government and commercial coverages and how they interact. Patient Access Curator can help. When integrated into the registration eligibility verification process, this AI-powered tool can lessen or eliminate COB denials by identifying hidden payer coverage requirements that outdated software cannot find. Additionally, the software can trigger automatic inquiries to third parties to verify active coverage quickly.
  • Streamlines MBI conversions – How much time do providers spend tracking down Medicare Beneficiary Identifiers during patient registration? The complicating factor is that MBIs change without warning; many patients and providers find out after the payor rejects the claim. Providers can eliminate this frustration by adding software that automatically updates MBIs in real-time. No more searching websites, calling patients—or reworking the claim.
  • Increases accuracy of patient demographic data –The quality of healthcare data can begin to erode at registration. Incorrect or obsolete patient data is a challenge for the entire industry. It makes sense that up-to-date, accurate patient demographic information improves their experience. Providers can eliminate obsolete or incorrect patient data with better medical billing software to lessen claims denials. Patient Access Curator automatically updates outdated information for cleaner claims and more accurate data.
  • Automates coverage and financial verification for increased accuracy – Patients and providers benefit from AI automation that accurately identifies payment details. The solution is particularly beneficial for spotting missed revenue opportunities for self-pay, unbillable, or patients with unspecified payer status records. Patient Access Curator also identifies each customer’s ability and propensity to pay, increasing the likelihood of successful revenue capture later while maintaining patient satisfaction and comfort.

Reimbursement accuracy, staff efficiency, and patient satisfaction all stem from better medical billing software. Patient Access Curator offers healthcare providers a way to turn claims management into denials prevention. These tools apply a proactive, preventative automated process with artificial intelligence to increase downstream revenue by reducing claims denials.

Experian Health, ranked Best in KLAS in Claims Management, Clearinghouse, and Revenue Cycle Contract Management for 2024, is the leading provider of technology solutions to improve healthcare reimbursement. Experian Health solutions have helped many healthcare providers obliterate claims denials.

In 2023, the organization acquired Wave HDC, an AI-powered healthcare data curation solution leveraging the latest AI technology innovations for a better revenue cycle. To find out more, contact Experian Health today.

Related Posts

Andy’s New WP Workflow Test Article Using Quick Edit

Key takeaways: Revenue cycle teams can use automation to reduce repetitive work and apply AI where data-driven prediction, matching or prioritization can improve a workflow. Experian Health’s 2025 State of Claims survey found that 41% of providers now face denial rates of 10% or higher, while 68% say submitting clean claims is more challenging than a year ago. Patient Access Curator™ (PAC) uses AI to support front-end data validation and insurance discovery, while AI Advantage™ helps teams predict denial risk and prioritize denial follow-up. Artificial intelligence (AI) and automation can support administrative work in healthcare. In the revenue cycle, teams depend on accurate information, timely decisions and efficient follow-up to keep claims moving. In revenue cycle management, AI and automation can help organizations reduce manual checks, find data gaps, predict denial risk and prioritize work queues. These tools are most useful when they support staff judgment, payer expertise and compliance oversight. They can handle repetitive, data-heavy tasks so staff can focus on exceptions and decisions that need human review. In 2023, McKinsey & Company reported that research suggests effectively deploying automation and analytics could eliminate $200 billion to $360 billion of spending in U.S. healthcare. For revenue cycle leaders, the practical question is where to apply those capabilities first. The case for applying AI and automation in healthcare Revenue cycle teams juggle many daily tasks. Staff collect and verify patient information, confirm eligibility, identify the right payer, submit clean claims, monitor status, work denials and manage collections. Small data gaps at the beginning of the process can create downstream rework and delays. Rework also consumes staff time, adding to these operational pressures. As costs rise and revenue cycles tighten, there is increasing pressure to do more with less. Experian Health’s 2025 State of Claims survey found that 54% of providers say claim errors are increasing and 90% of claim denials are reworked with at least some human review before resubmission. Providers are also managing broader financial and administrative pressures. The American Hospital Association has reported that prior authorization requirements, claim audits, denials and other payer policies add administrative burden and cost for hospitals and health systems. These requirements also consume staff time to appeal denials and manage payer processes. AI and automation are different but complementary. Automation follows defined rules to complete repeatable work. AI models can identify patterns in data, predict risk and help teams decide where to focus attention. When used together, they can support more consistent revenue cycle workflows. How AI and automation can support revenue cycle workflows Revenue cycle management automation and AI are most useful when tied to a specific workflow and a measurable operational problem. The goal is to help teams act earlier, reduce avoidable rework and focus staff time where judgment is needed most. For example, automation can complete rule-based eligibility checks. AI can help identify claims with a higher likelihood of denial. In insurance discovery workflows, AI can also help identify coverage that wasn’t captured at registration. When these tools fit into existing workflows, they can support more consistent decisions and reduce manual work. Three practical applications include: 1. Improving front-end data quality with Patient Access Curator Patient and coverage information collected early in the revenue cycle can affect downstream claim outcomes. Incomplete or outdated demographic details, eligibility responses, coordination of benefits or Medicare Beneficiary Identifier information can create problems that lead to claim delays or denials later in the cycle. Experian Health’s Patient Access Curator helps prevent claim denials by validating demographics, eligibility, insurance discovery, coordination of benefits and Medicare Beneficiary Identifier data in seconds. PAC’s AI and machine learning capabilities help improve match accuracy, coverage sequencing and data confidence by writing the validated data back into the host system and sequencing payers before the claim is created. This automates work that would otherwise require manual coverage checks. 2. Using insurance discovery to find coverage not captured at registration When active coverage isn’t identified during registration, claims may be delayed or submitted with incomplete insurance information. Insurance discovery looks for coverage that may not have been captured during registration. Patient Access Curator includes insurance discovery as part of its front-end validation workflow. It can help identify and correct missing or incorrect insurance information so claims can be submitted with more complete coverage data. 3. Using AI to prevent and prioritize denials Even with strong front-end processes, some claims still require additional attention. AI can help claims teams decide which claims to review before submission and which denials to work first after payer response. Experian Health’s AI Advantage supports two denial management use cases:1. AI Advantage – Predictive Denials uses a client’s historical claims data and Experian’s knowledge of payer rules to identify claims with a high likelihood of denial before submission so teams can take corrective action.2. AI Advantage – Denial Triage uses AI to segment denials and identify those with the highest potential for reimbursement. This approach can help teams prioritize with more confidence. Rather than treating every claim or denial the same way, teams can use predictive models to focus on the work that needs the most attention. Potential benefits of AI and automation in the revenue cycle A high-performing revenue cycle depends on timely, accurate and consistent work. AI and automation can help providers modernize that work without losing the expertise of the people who manage complex payer and patient situations every day. When applied to the right workflows, these tools can help organizations: Reduce manual data searches that take staff away from higher-value work Improve front-end data quality before claims are created Identify missing or incorrect coverage information earlier Spot claims that may be at higher risk of denial Prioritize denied claims by potential reimbursement Reduce rework caused by inaccurate or incomplete information Give staff more consistent information for follow-up decisions A focused AI strategy starts with the workflow problem, uses data that is relevant to that problem and keeps staff in control of judgment-based decisions. A more proactive approach to revenue cycle management Revenue cycle teams can move from reactive work toward a more proactive approach: catch errors earlier, validate coverage before claims are created and prioritize the claims and denials that need the most attention. Experian Health offers revenue cycle solutions that use AI and automation in targeted ways to support front-end data quality, reduce rework and manage denials. Patient Access Curator supports registration and coverage validation, while AI Advantage supports denial prediction and triage. Learn more about Experian Health’s Patient Access Curator and AI Advantage.

October 2, 2026 by Andy.Monte@experian.com
Experian Health ranked #1 in Best in KLAS for 2025

Experian Health is very pleased to announce that we've ranked #1 in the 2025 Best in KLAS: Software & Services report, for our Contract Manager and Contract Analysis product, for the third consecutive year. Contract Manager, when paired with Contract Analysis, empowers healthcare providers by ensuring payers comply with contract terms, identifying and recovering underpayments, and arming them with real claims data to negotiate contracts. This enables providers to negotiate more favorable terms and maintain financial stability.  Clarissa Riggins, Chief Product Officer at Experian Health, says, “In the ever-evolving healthcare landscape, our Contract Manager solution has once again been recognized as the #1 Revenue Cycle Management tool by KLAS for the third consecutive year. This prestigious ranking underscores the significant value our solution delivers to our clients by identifying underpayments and facilitating revenue recovery. We are honored to continue supporting our clients with innovative solutions that drive financial success and operational efficiency.”  Learn more about how Contract Manager and Contract Analysis can help your healthcare organization validate reimbursement accuracy, recover underpayments and boost revenue.   Learn more Contact us

February 5, 2025 by kelly.nguyen
How to increase patient engagement

Learn how providers can increase patient engagement, why it matters and key strategies that deliver improved end-to-end patient experiences.

January 30, 2025 by Experian Health

Spotlight test

Spotlight Description

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Sticky Subscribe Title

Sticky Subscribe Description
Sticky Subscribe

Testing Spotlight Paragraph block

Testing the spotlight block header

Archive Testing

Categories