Results for AI

Results 1-20 of 20

Blogs

How Agentic Revenue Cycle Management Snaps the Endless Cycle of Rework

You invested in automation. You hired more staff. You added checks, edits, dashboards. So why does the rework keep piling up? You may feel like you’re trapped in a never-ending cycle of delayed claims and denials. With each issue, your team untangles the same problems again and again. When does ...Read More

Blogs

From Reactive to Predictive: How AI Changes Revenue Cycle Decision-Making

Staying ahead of your revenue cycle shouldn’t be hard. And yet, somehow, it always is. One day it’s eligibility issues slipping through. The next, it’s a wave of denials you didn’t see coming. Maybe you find yourself staring at a report, wondering how something that looked fine upstream turned into ...Read More

Blogs

Is the Front-End of Your Revenue Cycle Built for 2026? How to Optimize for Revenue Integrity

Denials, delays, rework. Hearing those words hits you with a feeling of dread. You know their consequences all too well—days spent resolving bounced claims or outdated eligibility details that seemed to appear out of nowhere. And when you trace them back, they rarely start in billing. It’s earlier. Maybe it’s ...Read More

Blogs

5 Reasons Why Modernizing Patient Access Is Crucial for Today’s Revenue Cycle

Patient access was once treated like a front-desk function. Today, it’s one of the biggest drivers of revenue cycle performance. If you’re leading revenue cycle operations, you’ve probably felt the pressure. A prior authorization gets stuck in a payer portal or eligibility comes back wrong. A patient shows up expecting ...Read More

Blogs

The Real Cost of No-Shows (and How AI Helps Predict and Prevent Them)

The third appointment of the day is set to start. The MRI suite is ready. The technologist is standing by. The schedule shows a patient booked weeks ago. And then…nothing. Five minutes pass. Ten. Someone checks the system. “Looks like another no-show.” Now the slot sits empty. The scanner isn’t ...Read More

Case Studies

iCareONE™ — Unified AI Platform for Patient Access & Engagement

A large multi-specialty provider was managing patient access across disconnected systems — creating denials, no-shows, and staff inefficiencies. GeBBS implemented iCareONE™ to unify front-end workflows into one AI-driven platform, delivering faster scheduling, fewer denials, and stronger operational performance.Read More

Whitepapers

Agentic AI Platform for Autonomous End-to-End Revenue Cycle Management – From Automation to Autonomy

Healthcare revenue cycle management (RCM) remains one of the most complex and labor-intensive operational domains in modern healthcare. Fragmented systems, manual workflows, payer variability, and compliance pressures contribute to inefficiencies, claim denials, and revenue leakage. This white paper introduces an Agentic AI Platform for Autonomous End-to-End Revenue Cycle Management—a computer-implemented, ...Read More

Blogs

Why RCM Breaks Down Before the Patient Ever Arrives

When a denial lands on your desk, how often do you stop and ask where it really started? Not where it was found—but where it was created. For most teams, the instinct is to look downstream. Billing. Coding. AR. And sometimes that makes sense. But if you’ve ever tracked down ...Read More

Blogs

Where RCM Workflows Fail (And How AI Helps Fix Them)

Everything feels like it’s just barely holding together. You’re juggling backlogs, denials, and documentation gaps while trying to keep the whole machine moving. You feel the pressure. If one chart’s late or an audit flag pops up, suddenly you’re playing defense on two fronts. It’s enough to make you wonder ...Read More

Blogs

Will Your RCM Efforts Succeed in 2026? The Case for an AI-Ready RCM Partner

AI is everywhere in RCM right now. From vendor decks to conference panels and strategy sessions, they all seem to promise the same thing: this will finally fix it. And yet, if you’re being honest, the results don’t always match that reality. Maybe you’ve rolled out new tools or added ...Read More

Blogs

The AI-Driven Compliance Crucible: Navigating the Next Decade of Medical Billing and RCM Transformation

Healthcare revenue cycle—the people, the processes, and the technology—are currently undergoing a revolution. It presents a dual challenge: the rapid adoption of Artificial Intelligence (AI) and automation to optimize cash flow, in contrast to the increasing prevalence of patient-centric laws, such as the No Surprises Act (NSA). For Chief Financial ...Read More

Blogs

Is AI in Medical Coding a Threat or Opportunity?

Artificial intelligence (AI) is no longer a distant idea in healthcare—it’s reshaping how providers handle medical coding and billing today. According to the American Hospital Association (AHA), nearly 46 percent of hospitals and health systems now use AI in their revenue-cycle operations to improve accuracy and speed of reimbursement.[1] Many ...Read More

Blogs

Value-Based Care: A Future Powered by AI

The healthcare landscape has been undergoing a significant shift. We're witnessing a transition from a fee-for-service model, where providers are reimbursed for each procedure performed, to a value-based care (VBC) system. This approach is prioritizing patient outcomes and cost-effectiveness. The Rise of Value-Based Care Value-based care emphasizes preventative measures, chronic ...Read More

Blogs

Navigating the Future: Key Revenue Cycle Management Trends to Watch in 2024

In the ever-evolving world of healthcare, Revenue Cycle Management (RCM) stands as a cornerstone, pivotal to the sustainability and efficiency of healthcare providers. As we usher in 2024, GeBBS Healthcare Solutions is at the forefront, decoding and supporting emerging RCM trends that promise to reshape the landscape. This comprehensive exploration ...Read More

Webinars

The Academy: Transforming Front End RCM to a Revenue Generating Center

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Webinars

GeBBS – Physician Staffing Organizations: Solutions to Maximize Revenue and Manage Compliance

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Webinars

RISE Health Association – The Likely Impact on Risk Adjusted Lines of Business Due to COVID

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Whitepapers

Technology-based Risk Adjustment: An Advantageous Process for Providers and Payers

Streamlining workflow and improving quality for government payers and risk-bearing providers of all sizes I. IntroductionThe definition of risk is the possibility of loss or injury, or “the chance of loss or the perils to the subject matter of an insurance contract.” An opportunity-based risk comes from taking one opportunity ...Read More

Webinars

GeBBS – iCode Assurance: Coding Audit Software

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Infographics

Transforming Healthcare Payer Solutions Using AI-driven Technology

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