Enhance contract management in healthcare with advanced tools

by Experian Health 5 min read May 16, 2023

Several major healthcare operators reported major losses for 2022, as revenue growth failed to outpace increasing expenses. McKinsey’s projections for provider profit pools suggest a more promising outlook over the next few years, with the fastest growth expected in virtual and non-acute care segments. As labor costs rise, organizations are looking for ways to cut spending and increase cash flow. Healthcare contract management is a key area to focus on, as underpayments and denied claims can significantly impact revenue. A third of providers report up to 15% of claims being denied, and underpayments continue to remain a significant concern. Securing reimbursements at already-agreed rates can help healthcare organizations significantly benefit financial performance.

Unfortunately, managing payer contracts is not a straightforward process. Payer regulations and policies are in constant flux, and providers often lack the insights to negotiate and monitor payer performance effectively. Implementing a contract management solution can help providers negotiate favorable terms, check payer compliance, and reduce the risk of denials and underpayments.

Why is healthcare contract management so challenging?

Multiply thousands of vendors by thousands of service providers and again by thousands of patient encounters – and the scale of the healthcare contract management challenge becomes apparent. An average health system deals with hundreds of different payers, each with its own policies, processes, and paperwork. This lack of standardization makes it difficult to process claims efficiently and ensure payer compliance with agreed terms, not helped by soaring patient volumes and increasingly complex claims. The growing resource burden means the payer-provider relationship is coming under strain.

But the challenge begins even before the contract is signed. Providers split their focus between numerous clinical and financial objectives. In contrast, payers can concentrate their attention more fully on fee negotiations. There’s an inherent imbalance in the resources each party brings to the negotiating table. As a result, providers are often on the back foot and can end up signing up for less favorable terms.

Without a robust approach to negotiating and managing payer contracts, providers will struggle to achieve full reimbursement for services rendered. They may submit claims that do not adhere to payer policies, and find claims are being denied or not paid in full. More accounts will end up going to collections, and patients may be exposed to the threat of balance billing. At the extreme, providers may be forced to undergo lengthy appeals processes or even resort to legal action. The challenge of underpayment is especially fraught in emergency care, where disputes around reimbursement for services provided by out-of-network physicians at in-network facilities are common.

It pays to invest in provider-payer relationships

The solution lies in improving payer-provider relationships.. Smooth contract negotiations, clean claims and fair reimbursement rates are only possible when each party is clear about what they need from the other and delivers what they have agreed. By promoting better communication, transparency and accountability, providers can catch more underpayments and ensure more claims are clean the first time, leading to better financial performance.

With a reliable contract management solution, providers can monitor payer compliance with contract terms and clarify what’s expected to ensure clean claims every time.

Contract Manager and Contract Analysis: best in KLAS for healthcare contract management

The 2023 Best in KLAS report identified Experian Health’s Contract Manager and Contract Analysis products as #1 in Revenue Cycle, Contract Management. This solution leverages Experian’s data, analytics, and technology to help hospitals and health systems improve contract management and financial performance in three ways:

1. Validating reimbursement accuracy

Contract Manager helps providers find inconsistencies between amounts claimed and amounts paid. It accurately adjudicates each claim and compares expected payments to actual reimbursements. By continuously monitoring payer compliance with agreed contract terms, the tool identifies patterns of non-reimbursement to improve denial prevention and avoid missed revenue opportunities.

Administrators can monitor reimbursement using online dashboards and real-time variance reports, which make it easy to manage multiple payer contracts and reimbursement methodologies. The tool also defines specific contract terms and fee schedules and can adapt to changing payer policies, to ensure that claims are processed and valued in line with current payment rules.

2. Preventing and recovering underpayments

One of the biggest advantages of automation is the ability to find patterns that a human eye might miss (or take longer to spot). Manual processes (often based on a patchwork of Excel spreadsheets) are not only labor-intensive and costly, but do not consistently identify payment errors. Contract Manager offers a standardized approach to underpayment analysis, identifying sources and patterns of errors so recurring issues can be avoided in the future.

Administrators can also use Contract Manager to generate data to support contract-based appeals, so they know which claims to appeal and can communicate more effectively with payers.

3. Negotiating favorable terms with payers

Contract Manager’s automated system enables better management of collections data, payer performance and under-or over-payments. This puts providers in a stronger negotiating position when modeling new and amended contracts – a process that can be further improved with Contract Analysis.

Contract Analysis assesses the potential financial impact of proposed contract terms down to individual service lines so providers can tailor their negotiation strategy to maximize reimbursement. It arms providers with real-world “what if” scenarios to provide insight into how contract terms could affect cash flow before they sign on the dotted line.

Using real claims data to evaluate payer proposals gives providers insight into the true impact of proposed terms on reimbursement. It accelerates the negotiation process and gives providers leverage with payers that they might not otherwise have.

Since the responsibility for proving that a claim has been wrongly denied or underpaid lies with the provider, it is on providers to make sure that agreed terms are favorable and to understand how they will ensure compliance. With Contract Analysis, they can reduce contract risks and prevent issues before they arise to drive down denials and underpayments.

Using a healthcare contract management solution

As the healthcare industry evolves, providers need to find ways to maintain resiliency and financial success. Healthcare contract management is an area where providers can make a significant impact on their financial performance. Unfortunately, managing payer contracts is a complex system with fluctuating regulations and policies. A dedicated contract management solution can help reimbursements maximize reimbursements and can provide the data insights providers need to efficiently negotiate better payment terms.

Learn more about how Experian Health’s healthcare contract management solutions help providers improve contract negotiations, monitor payer compliance and recover more revenue.

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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. 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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.

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