At A Glance
From AI-powered claims management tools to revenue cycle automation, artificial intelligence (AI) and automation in healthcare are being adopted in countless ways – and providers are already seeing the benefits.
Key takeaways:
- AI and automation are quickly changing the healthcare landscape for providers and patients, with solutions like AI-powered denial prevention, collections automation and patient access automation.
- Providers are seeing less staff burnout and smoother revenue cycle workflows, while patients benefit from a better experience overall.
- Experian Health data shows that 69% of organizations using AI solutions have already seen fewer denials or a higher resubmission success rate.
Artificial intelligence (AI) and automation in healthcare are steadily gaining momentum – rapidly modernizing healthcare operations and revenue cycle management. As providers face mounting financial pressures, continued staff shortages, complex payer requirements and new compliance requirements, the need for intelligent technology has never been greater.
This article reviews some of the top ways intelligent technology, such as AI and automation, helps providers reduce administrative burden, minimize denials, and improve financial stability.
Why does AI and automation matter in healthcare RMC?
AI and automation are rapidly changing the landscape of healthcare revenue cycle management – from patient registration to collections. Providers who need to keep up with growing patient volumes, rising healthcare costs, and staffing shortages are turning to AI- and automation-powered solutions to improve front-end data accuracy, streamline billing and reduce staff burnout.
AI and automation in healthcare may also yield significant savings for the industry. A recent CAQH index report states that replacing manual processes with intelligent technologies, like AI and automation, could save the healthcare industry at least $20 billion. So far, 63% of providers have introduced AI into their workflows in some capacity, according to Experian Health data, and 15% say they’ve fully integrated AI into their standard RCM operations.
How do AI and automation reduce administrative burden in healthcare?
AI and automation can help reduce administrative burden for busy staff at every stage of the revenue cycle – from front-end registration to claims management and patient collections.
As staffing shortages continue, healthcare staff are often expected to do more with less, which can lead to burnout. In 2025, just over four in ten (43%) of providers report being understaffed, according to Experian Health’s State of Claims report.
AI and automation can help ease the administrative burden and minimize staff burnout across the revenue cycle, including:
- Front-end registration: At the front-end, tools like Experian Health’s Patient Access Curator™ (PAC) use AI to gather accurate patient data. Demographics, eligibility, COB, MBI and discovery are combined into a single workflow, so patient intake data is accurate from the start.
- Insurance verification: Manual insurance checks are cumbersome and drain administrative time. Automation solutions like Insurance Eligibility Verification allow staff to perform real-time eligibility checks and instantly verify patient insurance details, catch outdated information and prevent billing mistakes that lead to denials.
- Claims submissions: Tools like ClaimSource® help make sure claims are submitted correctly the first time. It automatically scans claims, payer compliance, insurance eligibility and patient demographics to spot errors that lead to denials.
- Patient collections: Busy billing teams reduce the time spent chasing self-pay accounts with patient collection solutions, like Collections Optimization Manager. Collections Optimization Manager uses machine learning to segment and prioritize patient accounts with the highest propensity to pay.
How do AI and automation minimize claim denials?
As denial rates continue to climb, preventing claims denials is a top priority for 82% of revenue cycle leaders. Mistakes on claims submissions that lead to denials are often the result of inaccurate or incomplete information.
Many denials are preventable by eliminating human errors stemming from manual workflows – often at the front end of the revenue cycle. Adopting AI and automation helps providers identify top denial triggers early and ensure claims are submitted right the first time.
Healthcare organizations that have adopted technology solutions in the revenue cycle are already starting to see the benefits. Experian Health data shows that nearly 7 in 10 providers using AI solutions report fewer denials or higher resubmission success rates.
Here are two ways AI and automation can improve denial rates:
- Improve front-end data accuracy: Preventing claim denials begins at registration. The smallest mistake or missing information can lead to a delay or denial. Experian Health’s Patient Access Curator uses AI-powered data capture technology, robotic process automation and machine learning to verify necessary patient information. With PAC, information remains accurate and up-to-date throughout the revenue cycle – effectively reducing denials.
- Predict and prevent claims denials: Using historical payment data and Experian Health datasets, AI Advantage™ analyzes denial patterns to flag issues before submission. Claim outcomes are predicted mid-cycle, and urgent tasks are pushed to the front of the queue, allowing staff to focus on claims with the highest financial priority. And with machine learning, AI Advantage continuously learns and adapts, improving results over time.
What role do AI and automation play in the patient experience?
AI and automation help improve patient satisfaction throughout the entire patient journey, from intake to collections.
Automating patient data capture helps ensure data is more accurate from the start. Bad data can lead to headaches that erode patient trust, like claim denials, inaccurate patient estimates, care disruptions and billing issues. But when data is accurately collected and verified from the start, it reduces friction for patients, minimizes frustrations and improves trust.
FAQs
AI and automation in healthcare are used to support key areas of patient care, operations and revenue cycle management. This intelligent technology uses algorithms and machine learning to analyze data, support clinical decisions and automate administrative tasks. These tools are being rapidly adopted by both providers and payers.
AI and automation in healthcare can help reduce claim denials by minimizing error-prone data-gathering processes and by identifying and correcting errors before submissions. AI and automation also help busy staff prioritize high-value resubmissions and analyze denial patterns, improving the claims management process overall.
Looking forward: What future trends should healthcare leaders expect for AI and automation?
Experian Health data shows that healthcare leaders expect AI and automation to become widespread in the next three to five years for revenue cycle management. Additionally, advances in predictive analytics, natural language processing and automation are expected to continue in healthcare. To remain competitive and financially resilient, healthcare leaders must be prepared to invest in emerging AI and automation technology and have a keen understanding of how to apply these tools strategically.
See how tools like Patient Access Curator are helping Experian Health’s clients transform healthcare operations.
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