Artificial intelligence is gaining traction as a key tool for reducing billing errors as providers struggle with rising administrative burdens.
A recent survey of 800 Americans and 200 healthcare professionals found the majority (54%) of healthcare pros plan to adopt AI-driven billing systems within the next two years, while 30% have already integrated such tools into their operations.
The top billing issues facing providers include insurance claim denials (64%) and delays in claims processing (54%).
Nearly one in five healthcare workers said they now spend more than 20 hours each month correcting billing errors, a time drain contributing to staff burnout and patient dissatisfaction.
"AI can reduce manual error correction by automating code validation, flagging and auto-correcting inconsistencies," Kyle Ryan, chief product and technology officer at Tebra, told HealthcareITNews. "It reduces the likelihood of denials and speeds up claims processing."
Billing issues are also affecting the patient experience. According to the report, 45% of Americans received an unexpected medical bill last year – one in five paid over $1,000 – and seven in 10 patients said they have delayed care due to cost uncertainty.
"Integrating billing transparency tools directly into clinical workflows – such as EHR platforms – would allow patients to receive real-time cost estimates at the point of care," Ryan said. "This proactive approach would help reduce the 45% of patients who are surprised by unexpected charges and support better decision-making."
But integrating AI into existing billing systems isn't a simple task, with many practices still operating on fragmented platforms, complicating real-time data sharing and interoperability.
High quality data – another prerequisite for effective AI – is an ongoing challenge for many healthcare organizations.
"One of the biggest challenges organizations face is ensuring that AI systems can integrate cleanly with their existing EHR and billing platforms," Ryan said. "Clean, standardized data is something often lacking due to inconsistent coding or incomplete patient records."
Despite these hurdles, healthcare professionals remain optimistic about the benefits of AI in billing. They cited faster claims processing, fewer errors, reduced administrative costs, and more time for staff to focus on patient care as the top advantages.
The report found 43% of providers said freeing up staff for clinical duties is AI's most important impact.
As regulatory and compliance requirements evolve, providers are also looking to AI for help staying ahead.
"To avoid compliance risks, these systems must be trained on up-to-date regulatory standards and integrate robust audit trails," Ryan said. "When implemented responsibly, AI can free up staff time, reduce burnout and improve billing accuracy without compromising HIPAA compliance."
With billing software and outsourcing costs posing a challenge for 22% of providers, many are turning to AI not only as a tool for process improvement but also as a strategic investment in long-term sustainability.
Ryan noted the future of billing isn't just about efficiency – it's about restoring trust.
"Healthcare IT leaders should focus on systems that provide itemized estimates, automated patient communications, and clear billing breakdowns to close the gap between clinical care and financial clarity," he said.
Nathan Eddy is a healthcare and technology freelancer based in Berlin.
Email the writer: nathaneddy@gmail.com