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As healthcare payers grapple with complex financial processes, AI is emerging as a powerful tool to streamline operations, reduce disputes, and enhance trust.
The healthcare financial experience is often a maze of confusion for patients, providers, and payers alike. Misaligned payments, opaque pricing, and delayed claims resolution create a web of inefficiencies that undermine trust and accuracy in the system. However, modern technology, particularly artificial intelligence (AI), offers a promising solution to simplify and secure these critical processes.
Amanda Eisel, CEO of Zelis, a leading healthcare payment integrity solutions provider, believes that the key to improving the healthcare financial experience lies in better alignment and transparency. "Modernizing these processes starts with making them less complicated," she says. By integrating AI into specific workflows, payers can achieve more efficient, fair, and effective financial operations.
AI's role in healthcare is not just about cutting-edge technology; it's about solving real problems. Eisel emphasizes that the conversation must move beyond experimentation to practical applications tied to measurable outcomes. "Organizations need to understand where AI can improve existing workflows and reduce friction," she explains. This shift requires a clear focus on use cases and how they integrate with current systems.
For many payers, this means leaning on technology vendors like Zelis that have the expertise in infrastructure, workflow management, data governance, and AI governance. "The largest nationals may have the teams to build some capabilities themselves, but even they are evaluating external partners," Eisel notes. For smaller payers, the vendor relationship becomes even more central.
A 2025 Zelis survey found that 71% of payers are actively using AI, and nearly half are piloting use cases. The National Association of Insurance Commissioners (NAIC) also reported that many AI and machine learning applications focus on claims adjudication, including automation, insights for claims approval, high-dollar claim risk assessment, and processing. According to the Zelis survey, 23% of payers have embedded AI as a central operational component.
One of the primary benefits of AI in healthcare finance is its ability to enhance trust and efficiency. By automating claims adjudication, AI can reduce administrative burden and minimize errors, leading to faster and more accurate payments. "AI tools often rely on sensitive data," Eisel explains, "so trust can be quickly undermined if security, accuracy, or transparency falls short."

For example, AI can analyze massive datasets to identify patterns that human reviewers might miss. This capability is crucial in high-dollar claim risk assessment, where early detection of potential issues can save payers significant costs. AI can provide real-time insights and recommendations for claims approval, streamlining the process and reducing the need for manual intervention.
However, Eisel cautions that human oversight remains essential. "AI should complement, not replace, human judgment," she says. Responsible AI adoption involves clear governance frameworks to ensure ethical use and compliance with regulations.
The impact of AI on healthcare finance extends beyond operational efficiency. By simplifying financial processes, payers can improve patient outcomes and overall satisfaction. When patients understand what they owe and when payments are processed quickly, it reduces stress and confusion, leading to better health decisions.
The broader healthcare ecosystem benefits from a more transparent and efficient financial system. Providers can focus on delivering care rather than navigating complex billing processes, and payers can allocate resources more effectively to support patient needs.
As AI continues to evolve, the healthcare industry must remain vigilant in its adoption. By focusing on specific use cases and maintaining strong governance, payers can harness the power of AI to create a more resilient and trustworthy financial experience for all stakeholders.
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Original Sources
How Payers Can Use AI to Improve the Healthcare Financial Experience - MedCity News
↗ https://medcitynews.com/2026/06/how-payers-can-use-ai-to-improve-the-healthcare-financial-experience
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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6 July 2026
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