Four major U.S. Health systems – OSF HealthCare, MUSC Health, Kettering Health, and MemorialCare – are turning to artificial intelligence to tackle a significant source of financial waste: inaccurate billing for purchased services. The organizations have adopted a new contract intelligence platform developed by SpendRule, which automatically validates invoices against pre-negotiated contract terms before payment is issued. This move aims to curb the estimated $32 billion in preventable overpayments that plague the healthcare industry annually, according to industry estimates.
The core problem, experts say, lies in the sheer complexity of healthcare contracts and the traditionally manual process of ensuring invoices align with those agreements. “We manage thousands of purchased services contracts, many of them hundreds of pages long,” explained Dave Fergus, chief supply chain officer of Peoria, Illinois-based OSF HealthCare, in a February 17 news release. “Before SpendRule, there was no realistic way to ensure every invoice line matched the contract before payment. Now, that validation happens automatically, giving us confidence in invoice accuracy, stopping the leakage, and freeing our teams from thousands of hours of manual approvals each year.” The implementation of AI contract intelligence is becoming increasingly vital for hospitals seeking to optimize financial performance.
How SpendRule Works
SpendRule’s platform functions by essentially “reading” and understanding the terms of each purchased services contract – everything from pricing schedules to service level agreements. When an invoice arrives, the AI compares it line by line against the relevant contract, flagging any discrepancies before the payment is processed. This proactive approach represents a shift from the traditional reactive model of auditing invoices *after* they’ve been paid, a process that often recovers only a fraction of the overcharges. The company launched its platform on February 17, 2026, and is already seeing traction in the market.
The solution’s appeal extends beyond simply identifying overpayments. It also promises to improve visibility into spending patterns, streamline vendor management, and accelerate issue resolution. Purchased services, which encompass a wide range of outsourced functions like laundry, food service, and equipment maintenance, often represent nearly half of non-labor spend for health systems, yet remain largely unmanaged. SpendRule aims to bring greater control and transparency to this significant cost center.
Investor Confidence and Expanding Adoption
The potential of SpendRule’s technology has attracted investment from within the healthcare industry. The MemorialCare Innovation Fund is an investor in the company, signaling confidence in its ability to address a critical demand. MemorialCare, based in Fountain Valley, California, has been actively investing in innovative healthcare solutions through its Innovation Fund.
Beyond OSF HealthCare, MUSC Health in Charleston, South Carolina, Kettering Health in Ohio, and MemorialCare, SpendRule has also secured deployments with Kettering Health and MUSC Health. This early adoption suggests a growing recognition of the need for automated contract enforcement in the face of rising healthcare costs and increasingly complex billing practices. The company’s founders identified a $323 billion market opportunity in healthcare’s purchased services sector, highlighting the scale of the problem they are attempting to solve. SpendRule’s entry into the market is being watched closely by industry analysts.
The Broader Trend of AI in Healthcare Finance
SpendRule’s platform is part of a broader trend of leveraging artificial intelligence to improve financial operations within healthcare. AI is increasingly being used for tasks such as revenue cycle management, fraud detection, and claims processing. However, the application of AI to contract intelligence represents a relatively new frontier, with the potential to unlock significant savings and efficiencies. The focus on proactive prevention, rather than reactive auditing, is a key differentiator for SpendRule and other emerging players in this space.
The implementation of these systems isn’t without its challenges. Ensuring data accuracy, integrating with existing accounts payable workflows, and maintaining ongoing contract updates are all critical considerations. However, the potential benefits – reduced costs, improved compliance, and freed-up staff time – are driving increasing interest among healthcare organizations.
As health systems continue to grapple with financial pressures, the adoption of AI-powered solutions like SpendRule is likely to accelerate. The promise of automating contract enforcement and preventing overpayments offers a compelling value proposition, particularly in a sector where even slight savings can have a significant impact on the bottom line. The next step for SpendRule will be demonstrating sustained cost savings and expanding its platform to cover a wider range of purchased services contracts.
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Disclaimer: This article provides information for general knowledge and informational purposes only, and does not constitute medical or financial advice.
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