Parathon

Parathon Parathon provides powerful healthcare technology solutions for every step of Revenue Cycle Management

12/22/2025

That moment when our clients recover lost cash…


The RPA era in healthcare is ending, and that’s okay.  For more than a decade, robotic process automation (RPA) played a...
12/15/2025

The RPA era in healthcare is ending, and that’s okay. For more than a decade, robotic process automation (RPA) played an important role in helping hospitals cope with manual, rules-based work. In many ways, it was a necessary bridge technology.

At its peak, RPA grew into a $20B market and delivered real value in a pre-AI world.

But healthcare is entering a different phase.

Today’s challenges aren’t about automating keystrokes, they’re about understanding data, context, coding, contracts, policies, and constantly changing reimbursement rules. Static bots struggle in environments where regulation and payer policies shift frequently and exceptions are the norm.

This is where agentic AI fundamentally changes the equation.

When large language models are securely connected to a hospital’s data, the need for brittle, rules-based automation disappears. Instead of scripting workflows, AI agents can reason across datasets, adapt in real time, and explain why a financial outcome occurred.

In that sense, traditional RPA is starting to look like flip phones in a smartphone world, useful for a time, but no longer aligned with how healthcare work actually happens.

The next gains in margin, efficiency, and insight won’t come from more bots, they’ll come from intelligent, data-aware systems that can think alongside operators.

12/11/2025

How a Payer-Policy AI Agent Can Unlock Millions in Net Revenue for Hospitals.

Hospitals are feeling the pressure from denials, staffing shortages, and payer disputes — but the biggest threat to net revenue today is something far more subtle:

Payer policy.

Across the industry, payer rules, edits, clinical criteria, and authorization requirements now influence up to 50% of reimbursements.

They trigger denials.

Delay authorizations.

Confuse physicians.

And overwhelm billing teams who can’t keep up with constant updates.

Most importantly, almost no hospital truly understands the financial impact of these policy shifts on revenue — until it’s too late.

The Gap: Hospitals Can’t Process Policy at Policy Speed

Payer policies update weekly (sometimes daily).

Humans can’t ingest, interpret, and operationalize this volume fast enough.

Rules engines aren’t built for this kind of dynamic logic.

This leads to silent, ongoing revenue leakage, often seven figures or more.

The Shift: A Payer-Policy AI Agent

A next-generation, agentic AI system — powered by an LLM like ChatGPT — can:

-Read and interpret payer policies instantly
-Turn dense PDFs into clear operational instructions
-Map changes directly to contracts, codes, and billing events
-Alert teams and physicians before denials occur
-Predict financial impact across service lines
-Recommend actions that protect reimbursement

This is not AI as a helper — this is AI as an operational engine.

Why Parathon Pulse Changes the Game

Because Pulse is integrated into the contract model, pricing model, and parallel database, it becomes a real-time, living interpretation layer for payer policy.

It gives hospitals the ability to:

-See financial exposure before claims go out
-Reduce preventable policy-driven denials
-Improve cash flow and margin
-Equip clinical and revenue teams with instant guidance

In short: boost net revenue without adding staff.

12/10/2025

Agentic AI is about to shock hospitals-get ready for the reset…

Payer disputes didn’t just rise, they exploded.What sat around 20% in 2022 surged past 55% in 2023, and the situation on...
12/07/2025

Payer disputes didn’t just rise, they exploded.
What sat around 20% in 2022 surged past 55% in 2023, and the situation only worsened through 2024 and 2025.

As one industry report noted:

“Providers continue to experience significant challenges with claim denials, putting immense pressure on revenue cycle teams.”

This is more than a trend, it’s a structural revenue threat.

Why Agentic AI Matters

Agentic AI goes far beyond traditional automation. These systems can reason, act, adapt, and collaborate, proactively working to prevent denials, catch underpayments, and accelerate cash.

Powered by LLMs Like ChatGPT

By integrating agentic workflows with advanced LLMs such as ChatGPT, health systems gain AI that can:
• Interpret complex payer policies and contract terms
• Identify discrepancies and underpayments instantly
• Generate clean, evidence-backed appeals
• Explain findings in plain language for teams
• Continuously learn payer patterns to stay ahead of changes

This is the difference between using a tool and deploying a 24/7 intelligent revenue partner.

As payer friction accelerates into 2025, hospitals need AI that doesn’t just analyze data, they need AI that acts.

At Parathon, we’re building agentic systems that help hospitals reclaim revenue, reduce friction, and stay ahead of the payer escalation curve.

The 3 levels of AI every hospital executive must understand…
12/04/2025

The 3 levels of AI every hospital executive must understand…

11/28/2025

Agents vs. Bots: Why Hospitals Must Move Beyond Automation and Into Intelligence

For years, healthcare has leaned on bots to automate repetitive tasks—clicking buttons, moving files, and routing workqueues. Bots were a step forward, but they were never designed to think, reason, or understand the business logic behind hospital finance and operations.

The next era isn’t automation.

It’s agency.

Bots follow instructions. Agents understand goals.

Bots do what they’re told, step by step.

Agents understand the intent behind the work and make decisions that reflect your policies, contracts, and financial priorities.

This is where agents stand apart.

Agents aren’t scripts or macros—they’re intelligent systems that:

-Interpret payer contracts with precision
-Understand your financial rules and modeling logic
-Automatically adjust accounts, net-downs, and expected reimbursements
-Identify and resolve discrepancies without manual intervention
-Learn from patterns and improve performance over time

In other words, they don’t just move the work… they complete it.

Why this matters for hospital revenue and profitability

Revenue cycle teams are stretched thin. Staffing shortages are real. And financial accuracy is more critical than ever.

Hospitals can no longer afford:

-Manual contractual adjustments
-Broken net-down logic
-Delayed month-end close
-Incorrect revenue modeling
-Rising underpayments
-Persistent payer friction

Agents fix this by ensuring financial accuracy at the source.

When 99% of your adjustments and net-downs are being handled correctly by intelligent agents—as many of our sites are already seeing—your organization gains:

-Accurate net revenue every month
-Higher true profitability
-Cleaner claims and faster reimbursement
-Reduced manual rework
-Fewer variances and underpayments
-More predictable cash flow

This is the future of hospital finance.

Not bots clicking screens.

But agents who understand the revenue cycle as well as your best analyst—at enterprise scale.

The market is shifting—fast

Vendors who still rely on bots are stuck in the past. Bots can’t handle missing data, contract logic, eligibility gaps, or complex payer rules. They can only follow a script, and in healthcare, scripts break constantly.

Agents don’t break.

Agents adapt.

This is why the market is now moving to agentic systems built on large language models and domain-specific intelligence.

And this is why Parathon is leading the shift.

The bottom line…

Bots automate tasks.

Agents deliver outcomes.

Hospitals that make the transition will run tighter finances, faster operations, and more accurate revenue cycle models than anyone still relying on legacy bot automation.

Parathon Pulse is committed to helping you stay ahead of that curve.

11/19/2025

Agentic Healthcare: The Next Evolution Hospitals Can’t Afford to Ignore.

Healthcare is changing — fast.

And the next major leap forward isn’t more automation, dashboards, or analytics.

It’s agentic healthcare — a new era where systems don’t just respond… they act.

What Is Agentic Healthcare?

In traditional hospital environments, technology is reactive.

Systems wait to be clicked. Bots wait to be triggered. Workflows wait for a human to nudge them along.

Agentic systems are different.

They understand context, make decisions, and take the next intelligent step — all aligned with your hospital’s financial, clinical, and operational goals.

Instead of following rigid scripts, agentic systems are powered by large language models like ChatGPT. They learn from:

-Your contracts
-Your payer rules
-Your policies
-Your workflows
-Your financial objectives

They don’t just return answers.

They reason, adapt, and collaborate with your team.

Why This Matters Now

Hospitals are under unprecedented pressure:

-Denials are rising
-Labor costs are high
-Contract complexity keeps growing
-Payer negotiations require deeper data and faster intelligence

Traditional automation can’t keep up.

Siloed analytics can’t respond fast enough.

Agentic healthcare closes this gap.

It brings intelligence, memory, and proactive action into every corner of hospital finance.

11/18/2025

🚨 CIOs: Hospitals Are Losing Millions Because Your Systems Can’t Talk to Each Other — and Your People Can’t Talk to Your Data

Agentic AI finally fixes this — today.

Healthcare runs on disconnected EMRs, ERPs, payer portals, and legacy databases that don’t communicate.
Teams waste hours searching, reconciling, and chasing information that should be instantly available.

That’s why we built the only agentic healthcare platform fully integrated with ChatGPT — an intelligent layer that understands your systems, reasons across them, and takes action.

What CIOs Use It For:

💡 Contract Intelligence
Instant answers from every payer rule, policy, and fee schedule.

💡 Denials & Underpayments
Agents identify root causes, retrieve documentation, and draft appeal strategies automatically.

💡 Workflow Automation (No RPA Fragility)
Agents adapt and execute end-to-end revenue cycle tasks that used to break automation.

💡 Legacy System Intelligence
Your EMR, ERP, and financial systems become conversational — without replacing anything.

The Impact

⚡ 50–80% faster cycle times
⚡ Lower IT backlog
⚡ Higher cash yield
⚡ Immediate ROI without new infrastructure

This is the first platform that finally lets hospitals think, act, and operate as one connected system.

👉 Contact us today to schedule a live demonstration and activate your free trial.

11/14/2025

Why Hospitals Need to Integrate Their Data into an LLM Like ChatGPT to Increase Profitability, Revenue, and Reduce Costs

Hospitals face relentless financial pressure — shrinking margins, rising labor costs, and increasingly complex payer dynamics. Yet, most of the insights needed to improve profitability and revenue are buried deep within siloed data systems. Integrating that data into a Large Language Model (LLM) like ChatGPT can transform how hospitals capture revenue, control costs, and make decisions that directly impact the bottom line.

1. Turn Complexity into Clarity — and Revenue

Hospitals lose millions because critical information is hidden in scattered systems, spreadsheets, contracts, and PDFs. ChatGPT can instantly interpret, summarize, and connect all of that data, creating a unified financial view of the organization.

Impact: Leaders gain immediate visibility into reimbursement trends, payer underpayments, and contractual opportunities that directly increase revenue — without waiting for manual analysis or reports.

2. Unlock Real-Time, AI-Driven Financial Insights

Once internal data is connected, ChatGPT becomes an always-on financial analyst — continuously monitoring for patterns that affect performance. It can flag reimbursement shortfalls, identify denials likely to be overturned, and model scenarios to predict future revenue and cost savings.

Impact: Hospitals move from reactive management to proactive optimization — increasing cash flow, accelerating collections, and reducing revenue leakage before it happens.

3. Align Every Department Around Cost Efficiency

Finance, managed care, clinical, and IT teams often work from disconnected data and systems, making collaboration slow and costly. Integrating with an LLM creates one intelligent, conversational interface where everyone can access the same financial insights in real time.

Impact: Instead of wasting time reconciling reports or running queries, teams can simply ask, “Where are we losing margin in cardiology?” or “Which payers have outdated rate escalators?” — cutting analysis time, improving decisions, and driving operational efficiency across departments.

In short: Integrating hospital data into an LLM like ChatGPT isn’t just about innovation — it’s about financial transformation. By turning complexity into clarity, surfacing hidden revenue, and aligning teams around real-time insights, hospitals can increase profitability, boost reimbursements, and lower operational costs — faster and smarter than ever before.

The hospitals that move first on integrating into an LLM like ChatGPT will dominate the next decade. Why?  Because intel...
11/10/2025

The hospitals that move first on integrating into an LLM like ChatGPT will dominate the next decade. Why? Because intelligence will no longer live in spreadsheets or dashboards — it will live in conversation. The ability to instantly understand, model, and act on financial data with natural language will define the winners.

Parathon Pulse is leading this transformation — giving hospital CFOs, finace executives and revenue cycle leaders real-time financial intelligence, powered by ChatGPT. The semantic layer is finally here — and it’s redefining what’s possible in managed care, reimbursement modeling, and policy impact. Hospitals that integrate AI now won’t just keep up… they’ll set the pace.

Try Parathon Pulse for free and experience how conversational intelligence is changing hospital finance and operations. Contact us today to get started.

11/07/2025

GPT meets Hospital Finance.
Talk with your data, surface insights instantly, and achieve better results faster with Parathon Pulse.
Discover trends, opportunities, and risks in real time.
💡 Try Parathon Pulse for free.

Address

1415 W Diehl Road Ste. 250
Naperville, IL
60563

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Wednesday 9am - 5pm
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(630) 355-5220

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