Parathon

01/25/2026

Parathon Pulse is creating a breakthrough in hospital finance by using LLMs and an AI translation layer to map the majority of financially relevant data.

01/22/2026

We’re excited to attend the 2026 HFMA Southern Exchange next week, bringing together healthcare finance leaders from across Louisiana and the Texas Gulf Coast for three days of education, discussion, and connection. Looking forward to the conversations ahead!

01/22/2026

The latest Parathon Pulse breaks down why hospital cash leakage isn’t a data problem, a staffing problem, or a leadership problem , it’s a speed-of-understanding problem.

👉 Read the full newsletter on LinkedIn and see why speed is margin.

Hospital cash leakage doesn’t come from one big failure. It comes from thousands of small, compounding decisions humans can’t see fast enough.

01/15/2026

If you’re attending the HFMA Western Region Symposium and thinking about how finance and revenue cycle teams evolve in the next 12–24 months, let’s connect.

01/12/2026

Denials, policies, delays, and staffing pressure continue to erode hospital margin. GPT for RCM changes that by allowing executives and staff to directly talk with their data, getting accurate answers in seconds instead of digging through dashboards.

ROI in 90 days with no upfront cost.

01/06/2026

Is your Hospital CEO ready to sign off on 2026 Price Transparency? Starting January 1, 2026, hospital price transparency isn't just a "check-the-box" task. It’s now a personal commitment from the top.

New CMS regulations require the CEO, President, or a senior official to be named directly in the machine-readable file (MRF). By doing so, they are personally attesting that the data is "true, accurate, and complete."

The Stakes are High:
-Daily fines
-Legal Reality: Signing off on inaccurate data doesn't just invite CMS audits; it can raise flags under the False Claims Act.
-Reputational impact

How Parathon Helps You Sleep Better…

At Parathon, we believe accuracy starts at the source. Our solution doesn't just "estimate" numbers, it ensures absolute precision through the proper dissemination and adjudication of 100% of your provider contracts.

Let's get your contracts, and your compliance, in order.

01/01/2026

Happy New Year 🎉

2026 is the year to foster hospital growth, profitability, and stronger partnerships. All of us at Parathon are grateful for the momentum, the lessons, and what’s ahead.

12/30/2025

Webinar. Payer policy now drives up to 50% of reimbursement and most hospitals can’t process changes fast enough.

We break down how a Payer-Policy AI Agent turns policy complexity into recovered revenue.

👉 Watch the full webinar on YouTube.

Payer policy is quietly draining hospital revenue.Rules, edits, and authorization requirements now influence up to 50% of reimbursement, yet most hospitals c...

12/25/2025

Merry Christmas and Happy Holidays from Parathon. Wishing you and your team a joyful season.

12/22/2025

That moment when our clients recover lost cash…

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.