Healthcare organizations have made significant strides in expanding digital payment options for patients, but the operational systems supporting these transactions are failing to deliver matching gains in overall financial performance. According to a comprehensive new survey released by Elavon, a wholly owned subsidiary of U.S. Bank, the rapid deployment of consumer-facing payment technologies has exposed a widening gap between front-end modernization and back-end efficiency.
The report, titled “The hidden constraint on healthcare performance: Why complexity is limiting predictability, scalability and growth,” explores the persistent administrative and technological hurdles facing modern medical providers. Elavon’s specialized payment technology and expertise serve as a cornerstone of U.S. Bank’s broader corporate commitment to helping healthcare organizations modernize their underlying financial operations, streamline administrative workflows, and deliver a more connected, seamless payment experience for patients from check-in to final discharge.
While the push toward digitalization has successfully met consumer demand for flexible payment methods, the internal mechanics of revenue cycle management have grown increasingly strained. This disconnect highlights a critical challenge for healthcare leaders navigating an era of rising operational costs, tight labor markets, and evolving consumer expectations around digital financial interactions.
The Paradox of Modernization: High Adoption, Low Performance
The survey, which gathered insights from 150 enterprise healthcare leaders, reveals a striking contrast between consumer-facing accessibility and back-end administrative reality. Approximately 68% of the surveyed healthcare executives reported that their organizations currently offer nearly all the payment options that patients desire, ranging from online portals and mobile applications to contactless card readers at reception desks.
However, despite this widespread availability of digital payment channels, only 15% of respondents rated their organization’s end-to-end revenue cycle performance as excellent. This massive discrepancy points to a deeper structural issue within the healthcare sector: the proliferation of front-end payment touchpoints has often been layered on top of legacy billing architectures rather than integrated into a unified financial ecosystem.
Rather than simplifying the financial journey, the addition of multiple payment channels has frequently resulted in fragmented workflows, disconnected systems, and an over-reliance on manual human intervention to reconcile accounts. These persistent barriers to administrative efficiency demonstrate how operational complexity can neutralize the intended benefits of technological modernization efforts. Instead of freeing up administrative resources, poorly integrated digital systems are often creating new administrative bottlenecks that ripple across entire healthcare networks.
The Heavy Toll of Administrative Complexity
The operational burden of managing fragmented workflows is exacting a heavy toll on healthcare administrative and financial teams. According to the survey data, more than three-quarters—specifically 76%—of healthcare leaders reported that their staff spend between 5% and 20% of their working hours managing exceptions, tracking down missing transaction data, or manually correcting billing and payment errors.
This diversion of skilled labor away from higher-value strategic initiatives represents a substantial financial drain for healthcare organizations striving to protect operating margins. Furthermore, the consequences of these administrative inefficiencies extend far beyond day-to-day exception management, directly threatening the integrity of critical periodic financial reporting.
Eighty-three percent of survey respondents indicated that payment errors, discrepancies, or routine reconciliation delays negatively impact their monthly financial close processes at least 25% of the time. When monthly closes are consistently disrupted by payment processing friction, leadership teams are left operating with delayed visibility into their actual financial standing, making it exceedingly difficult to forecast cash flow, manage debt obligations, or make informed capital allocation decisions.
Integration Gaps and the Strain on Collections
Industry leadership emphasizes that these findings underscore an urgent need to address foundational integration gaps within healthcare financial operations. Wally Mlynarski, CEO of Elavon, pointed directly to these systemic friction points when discussing the survey results, noting that technology investments alone are insufficient if internal processes remain siloed and disconnected.
Despite healthcare providers investing in more ways for patients to pay, our survey reveals that integration gaps and fragmented workflows still exist, delaying patient collections and putting pressure on healthcare revenue cycle operations, Mlynarski explained. He emphasized that addressing these challenges requires a comprehensive approach that bridges the gap between front-end customer interaction and back-end accounting infrastructure.
Elavon aims to address these specific pain points by bringing end-to-end payment processing and servicing at scale to the healthcare sector. By connecting consumer payment acceptance directly with automated receivables, multi-channel reconciliation, and advanced reporting tools, the platform is designed to help medical providers systematically reduce manual workloads, enhance overall financial visibility, and establish greater predictability in patient collections.
Turning to Artificial Intelligence and Strategic Scalability
As healthcare executives look for viable pathways to simplify daily operations, improve financial predictability, and build internal capacity for sustainable organizational growth, many are casting their gaze toward emerging technological solutions. Prominent among these is artificial intelligence, which is increasingly viewed as a vital tool for cutting through administrative complexity and automating error-prone manual tasks.
According to the survey, nearly all responding healthcare leaders reported plans to actively explore the integration of generative or agentic artificial intelligence within their patient payment operations. This widespread interest is largely catalyzed by ongoing challenges related to delayed patient collections, complex exception management, and mounting administrative overhead that strains existing personnel. Agentic and generative AI models are seen by leadership as potential solutions capable of autonomously interpreting complex payer rules, resolving routine billing exceptions, and predicting payment behaviors without requiring constant human oversight.
Alongside their interest in artificial intelligence, healthcare decision-makers are placing a renewed emphasis on the strategic qualities of their technology and service vendors. The survey data highlights that 56% of healthcare leaders identify scalability as a primary decision-making factor when evaluating potential strategic partners. This strong preference illustrates a broader, deliberate shift toward operating models and technologies capable of maintaining high-level performance and structural resilience even as transaction volumes and organizational complexity continue to grow over time.
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