News

How AI Is Reshaping Healthcare Communication in Revenue Cycle Management | Health IT

By September 29, 2025No Comments

VoiceCare AI to Present at Becker’s Health IT + Revenue Cycle Conference 2025

Hospitals and health systems are under increasing pressure to improve the performance of their revenue cycle. Administrative teams are stretched thin, payer rules are growing more complex, and the volume of insurance-related communication continues to climb. Amid this operational strain, one of the most time-consuming and costly tasks remains the routine phone call to insurance companies.

From verifying benefits and securing prior authorizations to following up on denied claims, these calls are essential for revenue recovery but often create bottlenecks. They can delay reimbursement, drain internal resources, and distract staff from more strategic responsibilities.

At the upcoming Becker’s Health IT + Revenue Cycle Conference 2025, VoiceCare AI will present a new approach to this long-standing challenge. Using advanced generational artificial intelligence, the company has developed a solution that automates payer communication, reduces administrative burden, and enhances revenue cycle efficiency.

The 2025 Revenue Cycle Landscape

Healthcare executives are managing a growing list of operational and financial challenges. Staffing shortages have become a persistent obstacle. Reimbursement delays are putting pressure on cash flow. At the same time, payer requirements continue to evolve, increasing the complexity of everyday workflows. These factors are converging to create a level of strain that cannot be addressed through traditional process improvements alone.

Insurance-related administrative work represents a substantial share of a hospital’s total operating cost. Despite innovation in areas like patient access and billing, many organizations still rely on manual phone calls to carry out some of the most repetitive and time-sensitive functions in the revenue cycle.

As more hospitals and revenue cycle management teams seek to modernize their operations, the ability to automate payer communication is becoming an essential part of a future-ready strategy.

The Operational Cost of Manual Insurance Calls

While revenue cycle teams have grown more sophisticated in recent years, the process of making phone calls to insurance companies has changed very little. Staff continue to spend significant time waiting on hold, navigating automated IVR menus, repeating prior conversations, and chasing the information needed to process a claim or appeal.

These calls affect multiple points in the revenue cycle. Common examples include pre-service eligibility verification, prior authorization requests, claims status inquiries, and denial follow-ups. Each task plays a critical role in reimbursement, but together they place a heavy administrative burden on teams that are already operating with limited bandwidth. When left unaddressed, this inefficiency increases the risk of claim delays, rework, and missed revenue opportunities.

Joy: Voice AI Agent for Payer Calls

VoiceCare AI developed Joy, an advanced generational AI voice agent that is purpose-built to manage insurance calls. Joy uses natural, human-like speech and is capable of completing high-volume payer interactions autonomously. These include verifying patient coverage, initiating prior authorizations, tracking claim statuses, and gathering denial reasons from payers.

The platform is built on agentic artificial intelligence architecture and trained on proprietary healthcare datasets. It incorporates reinforcement learning from human feedback to continuously improve performance and adapt to changing payer processes.

By shifting routine communication tasks to Joy, health systems and revenue cycle management teams can reduce the time and cost associated with manual calls. More importantly, teams are freed to focus on higher-value activities that require human judgment and oversight.

Secure and Scalable for Healthcare Operations

VoiceCare AI is designed for enterprise-grade compliance and security. The platform is fully HIPAA compliant and has achieved SOC 2 Type II attestation. These standards ensure that patient and financial data are handled with the highest level of integrity.

Real-World Application: A Day in the Life

In one regional health system, administrative staff were spending several hours per day managing routine insurance calls. Eligibility checks, prior authorization updates, and denial investigations accounted for a significant portion of their workload. This limited their ability to support patients and delayed claim resolution.

After implementing VoiceCare AI, those daily tasks began running in the background. Joy now manages hundreds of calls per day, captures accurate payer data, and flags exceptions for staff review. The team spends less time on repetitive tasks and more time on strategic problem-solving. This shift has not only improved workflow efficiency but also reduced administrative burnout and improved cash flow predictability.

Measurable Results Across the Revenue Cycle

Organizations using VoiceCare AI have reported meaningful results in several areas:

Faster processing of insurance verifications, authorizations, and denial insights

Reduced delays in claim follow-up and improved denial visibility

Greater operational efficiency across revenue cycle functions

Increased staff capacity despite hiring constraints

These outcomes reflect a growing understanding that intelligent automation is a proven, practical solution to one of the most persistent inefficiencies in healthcare administration.

Leadership Perspective: AI Should Remove, Not Add, Complexity

Parag Jhaveri, Chief Executive Officer of VoiceCare AI, believes the next generation of healthcare automation should feel effortless to the end user.

“Too often, healthcare teams are overwhelmed not because of clinical complexity but because of administrative overload,” Jhaveri said. “We built VoiceCare AI to quietly eliminate the friction that gets in the way of care, of communication, and of operational performance. When automation works well, it should fade into the background and let people focus on what truly matters, which is patient care.”

Jhaveri has spent more than a decade working at the intersection of healthcare, data, and enterprise technology. He views artificial intelligence not as a replacement for human expertise but as a way to restore it by removing the tasks that waste time and energy.

Visit VoiceCare AI at Becker’s Health IT + Revenue Cycle Management Conference 2025

VoiceCare AI will be exhibiting at the Becker’s Health IT + Revenue Cycle Conference, which will take place from September 30 through October 2, 2025, at Hyatt Regency in Chicago.

Attendees are invited to visit Booth #514 to explore how AI-powered voice automation is transforming healthcare communication in healthcare. The VoiceCare AI team will walk through real-world use cases, demonstrate how Joy operates within existing workflows, and answer questions about implementation, security, and return on investment.

For healthcare executives seeking scalable ways to modernize administrative operations, VoiceCare AI provides a solution that is aligned with the realities of today and the direction of tomorrow.

About VoiceCare AI

VoiceCare AI is a healthcare administration general intelligence (HAGI) company built to automate back-office conversations and super-staff the workforce through the application of generative AI. The company’s AI voice-based automation and agentic AI architecture massively eliminates administrative burden and improves operational efficiency. “Joy,” its human-like voice AI agent, is capable of supporting long, complex, and highly nuanced conversations and extended hold times. VoiceCare AI has raised $4.54 million in seed funding led by Caduceus Capital Partners, and participation from Bread and Butter Ventures and Mayo Clinic

The post How AI Is Reshaping Healthcare Communication in Revenue Cycle Management appeared first on Becker’s Hospital Review | Healthcare News & Analysis.

Health IT

Leave a Reply