Introducing FairPath.AI

Safe and Understandable AI-Powered Software to Transform your RPM, RTM, CCM, and APMC Program

FairPath helps practices run profitable remote care programs—without audit risk, billing confusion, or compliance gaps. FairPath Pro goes further, managing your entire RPM operation end-to-end.

Built for Dynamic Regulatory
Environments

With the increased scrutiny and regulatory demands for running remote care programs, software that handles sudden regulatory changes is more important than ever. FairPath is an intelligent compliance management system purpose-built for remote care programs facing dynamic, demanding regulatory environments.
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Patient Consent & Education Automation
Real-time, HIPAA-compliant audio recordings and transcriptions during onboarding.
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Continuous Patient Compliance
Automated text and AI-driven interactions significantly boost patient adherence, while providing verifiable communication records.
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Audit-Ready Documentation
Automated, timestamped, tamper-proof documentation of every clinician interaction.
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Real-time AI Oversight
Proactively flag potential compliance gaps before claims submission, ensuring no critical data goes missing post-submission.
The Tech Under the Hood
Our proprietary ontology engine Buffaly allows us to catch up to fluid regulatory changes at higher times than the competition, while ensure interoperability between disparate systems like ICD-10, SNOMED, and CPT®.

If regulations change, we change. Fast. No need to wait for slow rollouts.
The Intelligence Factory Difference

How We Empower Your Practice

The FairPath platform has processed over 1.1 million claims and recovered more than $36.7 million. By training FairPath on millions of real patient and financial transactions, we’ve achieved a 98% RPM payment success rate.
Keeps Your Data Safe and Secure
Built from the ground up to meet HIPAA standards, our solutions protect your sensitive information without sending it outside your control—peace of mind included.
Accurate Billing You Can Trust
Our technology ensures every claim is right the first time, cutting errors that lead to denials. No complicated AI gimmicks—just dependable results tailored for healthcare billing.
Affordable for Small Practices
FairPath skips the big setup fees and tech headaches. You get expert billing support customized to your needs, at a price that fits your budget.
Full Service Billing Assistance
Larger partners can integrate FairPath's platform for their own RCM needs, leveraging our proven technology.
Try FairPath Today

How Does FairPath Work? Try Our Low-Risk Starter  

Discover how FairPath processes your billing with a low-risk starter package:
  • Upload 1-3 claims
  • Let our AI handle eligibility, coding, and status checks
  • See 98% payment success, less than 5% denials, and 90% payments in 30 days in just 24-48 hours—no big fees
Since 2018, we’ve delivered precise results for practices like yours. Start exploring today!
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Our Solutions

Tailored AI for Healthcare

At Intelligence Factory, we harness cutting-edge AI to solve healthcare's toughest challenges. Our solutions streamline billing, enhance patient engagement, and ensure compliance, all powered by hallucination-free technology designed for your success.
FairPath
End-to-End Software Package
What It Is:
FairPath is a compliance-first platform that lets practices run their own remote care programs with audit-readiness. From onboarding, device management, and program management, to clinical reviews and patient communications, to billing and claims submission, FairPath has all the tools you need to run your RPM program.

Why It Matters:
FairPath aligns every claim with CMS rules, reducing fraud risk and denial rates. You stay compliant without adding tech staff or stress.
Learn More About FairPath →
FairPath Pro
Turnkey RPM Solution
What It Is:
A turnkey service where Intelligence Factory manages your full RPM program—staffing, onboarding, monitoring, billing, compliance.

Why It Matters:
You gain the benefits of remote care without learning Medicare billing rules or adding overhead. It’s plug-and-play RPM, built right.
Learn More About FairPath Pro →
Nurse Amy
Patient Engagement Agent
What It Is:
A virtual care agent that improves patient follow-through. Nurse Amy automates reminders, support calls, and satisfaction check-ins for RPM, RTM, and CCM patients.

Why It Matters:
Higher patient compliance means more billable events, better outcomes, and less staff burden. Amy keeps patients engaged automatically.
Learn More About Nurse Amy →
Buffaly + NLU
Ontology Engine with Integrated Language Engine
What It Is:
A medical-grade ontology engine that transforms messy notes and alerts into clean, structured billing and compliance data. Additionally, Buffaly allows for interoperability between disparate systems – ICD-10, CPT, SNOMED.

Why It Matters:
It solves messy data problems with precision, turning chaos into clear outputs that save time and boost accuracy.
Learn More About Buffaly NLU →
The intelligence factory difference

What makes Intelligence Factory different?

Not all AI is created equal. In an era where everyone claims to be "AI-powered," thetechnology beneath the surface matters more than ever. We've spent nearly two decadesbuilding AI that doesn't just sound intelligent—it delivers reliable, transparent, andactionable results in environments where mistakes aren't acceptable.At Intelligence Factory, we harness cutting-edge AI to solve healthcare's toughest challenges. Our solutions streamline billing, enhance patient engagement, and ensure compliance, all powered by hallucination-free technology designed for your success.
Battle-tested acrossindustries for 16 years
Since 2009, we've been solvingcomplex problems with AI—intransportation systems, clinicalenvironments, aviation operations,supply chain monitoring, and beyond.This cross-industry experiencemeans our platform has been stress-tested against diverse requirements,from split-second logistics decisionsto life-critical healthcare protocols.We've weathered the entire evolutionof AI technology and emerged withsolutions that actually work in the realworld.
Not an LLM wrapper complete technical independence
The AI boom made access tolanguage models widespread, andwith it came a flood of 'AI solutions'that are really just promptengineering on top of ChatGPT orsimilar platforms. We'refundamentally different. Our entire AIstack is proprietary, built from theground up by our team. No promptengineering shortcuts. Nodependency on OpenAI, Google, orany third-party AI provider.
Explainable, auditable, hallucination free AI
Generic LLMs operate as black boxesthat generate plausible-sounding text—sometimes accurate, sometimesfabricated. Our Buffaly OntologyEngine takes a fundamentallydifferent approach using OGAR(Ontology-Guided AugmentedRetrieval): structured domainknowledge that the AI navigates withprecision rather than statisticalpattern matching.
This gives you:
Data sovereignty
Your proprietary information never leaves your infrastructure ortouches external AI services

Security assurance
No exposure to third-party vulnerabilities, policy changes, orservice outages

Performance optimization
Technology tuned to your specific domain, not trained on generalinternet knowledge

Future-proof architecture
You're not locked into someone else's technology roadmap orpricing model
The practical difference:
Zero hallucinations
The system can only draw from your curated, validatedknowledge base

Complete transparency
Every output includes the reasoning and sources behind it

Regulatory compliance
Audit trails and documentation that satisfy even the strictestrequirements

Expert control
Your domain specialists define what the AI knows and how itapplies that knowledge
When your teams can trace exactly how the AI reached each conclusion, adoption acceleratesand trust builds naturally.
Compliance Without Complexity

The Five Pillars of a Compliant, Scalable RPM Program

FairPath directly addresses the issues highlighted in the OIG’s 2024 RPM audit—preventing fraud, missed revenue, and denials.
Consolidated Data Platform
Unified dashboard for all device data

AI flags urgent readings

No more portal-hopping or missed interventions
Billing & Charge Optimization
Fully automates 99453, 99454, and 99457/99458 billing

Calibrates charges to avoid payer scrutiny

Flags duplicates and multi-episode risks
Compliance & Documentation Engine
Timestamps every interaction in a HIPAA-compliant system

Tracks who did what, when

Proven to defend audits and clawbacks
Patient Engagement Tools
30% improvement in usage from calls/texts

Captures 99453 consent and education digitally

Flags inactive patients before it’s too late
Eligibility Verification System
Real-time checks for Medicare, Advantage, and dual plans

Flags ineligible patients pre-enrollment

Prevents non-reimbursable claims and wasted setups
Portfolio Highlights

Structured Solutions for Remote Care

Each of these projects reflects the same principles behind FairPath: structured AI, built for trust, transparency, and real-world complexity. From scalable eligibility checks to seamless EHR integration, these solutions show how our technology performs under pressure—exactly where it counts.
Turn Medical Chaos into Structured Insight
Seamlessly unify fragmented EHR and EMR data with a semantic engine designed for healthcare.
FairPath’s integration layer normalizes inputs from over 30 EHR systems—including Epic and eClinicalWorks—transforming disconnected diagnoses, labs, and billing codes into one coherent data model that powers eligibility checks, reporting, and automation.
Learn More →
Allocate Clinical Time Without Compromising Care
After critical alerts, every patient still deserves attention—but time is finite.
FairPath uses adaptive algorithms to help clinicians decide who to engage next—balancing need, compliance, and sustainability. It’s not about cutting corners; it’s about using every minute wisely to maximize real patient impact.
Learn More →
Eligibility Without the Guesswork—or the Per-Transaction Fees
Automated coverage checks built for practices that can’t afford enterprise systems.
With FairPath, eligibility validation is no longer a bottleneck. Our ontology-driven engine delivers high-accuracy checks across insurers and program types—fully auditable and designed for underserved providers.
Learn More →
Beyond Healthcare

Our Artificial Intelligence Legacy

While healthcare is our focus, Intelligence Factory's AI has a proven track record across industries. Our Feeding Frenzy suite has optimized sales and support workflows for IT companies, showcasing our technology's versatility and reliability beyond medical billing.
Learn About Non-Medical
Solutions →
How It Works

A Simplified, AI-Driven Billing Workflow

Our AI solution transforms your billing process with a structured, step-by-step approach:
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Eligibility Verification
Instantly confirm patient coverage with AI that retrieves accurate, real-time insurance details.
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Claims Coding
Generate precise CPT codes and ICD-10 mappings to prevent denials and resubmissions.
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Prior Authorization
Skip the manual process—our AI gathers required information and expedites approvals.
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Seamless Integration
Easily connect with your EHR, practice management systems, and billing software through scalable APIs.

Take the First Step with Intelligence Factory

Ready to transform your billing process? Whether you're a small practice seeking our expert billing service or a larger partner looking to integrate FairPath's technology, we're here to help you succeed.

Call us at (689) 600-1779
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Recent Updates

Anthem Updates Its RPM and RTM Coverage for 2026: What Changed and Why It Matters

Anthem has quietly made an important update to its clinical policy CG-MED-91, effective December 18, 2025. The change aligns Anthem with CMS’s 2026 Physician Fee Schedule and formally recognizes the new “short-cycle” Remote Physiologic Monitoring (RPM) and Remote Therapeutic Monitoring (RTM) CPT codes.

This is not a cosmetic revision. It materially expands what can be billed, when it can be billed, and how episodic or lower-engagement remote monitoring programs can be structured under commercial coverage.


What Anthem Added

The updated policy now explicitly includes:

• Short-cycle RPM device supply for 2–15 days of data capture in a 30-day period
• Short-cycle RPM treatment management recognizing the first 10 minutes of interactive management time
• Parallel short-cycle RTM device supply codes for non-physiologic data
• Updated RTM treatment-management recognition for first-tier monthly time

In practical terms, Anthem is acknowledging that remote monitoring does not always look like a 30-day, 16-day-minimum, fully continuous program. Acute monitoring, transitional care, post-discharge follow-ups, and adherence-focused interventions now have a viable reimbursement path under Anthem’s commercial policies.


Why This Matters Operationally

For practices and health systems, the biggest impact is not just “more codes.” It’s flexibility.

Historically, anything that failed to hit the traditional RPM thresholds simply went unbilled, even if the work was clinically meaningful and documented. Anthem’s adoption of these short-cycle codes closes that gap. It also signals that other large commercial payers are likely to follow the same trajectory, especially as CMS continues to normalize shorter-engagement remote care models.

That said, payer alignment is still uneven. Coverage inclusion does not mean every code is payable in every scenario, for every plan, in every state. This is where most RPM and RTM programs quietly fall out of compliance.


Where to Learn More

If you’re trying to keep track of how different payers are handling RPM, RTM, and the new 2026 CPT landscape, we maintain a growing set of payer-specific breakdowns and operational guidance on the FairPath resources page. That includes summaries of commercial payer policies, Medicare rules, and how these codes actually behave in real billing workflows, not just in CMS tables.


How FairPath Handles This

FairPath was built for exactly this kind of change.

When Anthem updates a policy like CG-MED-91, nothing about your workflow should require manual intervention. FairPath’s compliance engine automatically generates claim-ready data based on actual device usage, time capture, and interaction events. The system selects the correct RPM or RTM billing codes—including the new short-cycle codes—based on eligibility and documented activity.

More importantly, FairPath is payer-aware. If a specific Anthem plan, region, or policy variation does not support a given code, the platform can enforce that restriction or surface a warning before a claim is ever generated. That prevents the common failure mode where practices discover payer incompatibilities only after denials, audits, or recoupments.

This is not about chasing new codes for marginal revenue. It’s about encoding payer policy reality directly into your operating system so compliance is automatic and exceptions are visible early.

Anthem’s update is another clear signal of where remote care reimbursement is going in 2026. The organizations that treat these changes as configuration, not chaos, will be the ones that scale safely.

UnitedHealthcare just postponed its RPM coverage rollback. Their official policy PDFs still say Jan 1.

Originally published at: https://fairpath.ai/resources/uhc-postpones-2026-rpm-rollback

With 10 days left in the year, practices were bracing for a major UnitedHealthcare shift: a new “Remote Physiologic Monitoring (RPM)” medical policy that—on paper—would sharply narrow coverage to two indications and label most other RPM use as “unproven.”

This week, UnitedHealthcare confirmed it is postponing implementation of RPM changes. The catch is that the publicly posted medical policy documents still show an effective date of January 1, 2026, and still contain the restrictive language. That mismatch (operational guidance vs. published policy PDFs) is exactly where practices get burned: eligibility logic, claim edits, patient enrollment decisions, and denial workflows can all drift out of sync.


What UHC’s published RPM policies currently say

UnitedHealthcare’s publicly posted RPM medical policy for Commercial and Individual Exchange is titled “Remote Physiologic Monitoring (RPM)” and shows an effective date of January 1, 2026. On page 1, it states RPM is “proven and medically necessary” only for heart failure and hypertensive disorders of pregnancy, and it lists multiple other indications (including diabetes, COPD, and hypertension outside pregnancy) under “unproven… due to insufficient evidence of efficacy.”

UnitedHealthcare’s Medicare Advantage RPM medical policy likewise shows an effective date of January 1, 2026, and it similarly limits “reasonable and necessary” coverage to heart failure and hypertensive disorders of pregnancy. It also notes that Medicare does not have an NCD for RPM and that LCDs/LCAs do not exist for it, positioning UHC’s coverage rationale as plan-defined.

This is not “rumor” territory. The restrictive criteria is plainly written in UHC’s own PDFs.


What changed this week: UHC says it’s postponing implementation

Multiple outlets report that UHC sent an email to providers stating the reduced-coverage plan is delayed from January 1, 2026, to later in 2026 and that an updated timeline will be provided. Fierce Healthcare describes the email and notes it says UHC will send “advanced notice” with a new effective date “later in 2026.” (Fierce Healthcare)

Becker’s Payer quotes a UnitedHealthcare spokesperson stating that the RPM policy scheduled for Jan. 1, 2026 is being postponed and that UHC still intends to implement it in 2026 with an updated timeline to follow. (Becker's Payer Issues | Payer News)

STAT likewise reports UHC confirmed the policy is delayed until later in the year and includes the same “we still intend to implement this policy in 2026” position. (STAT)

So, the best-supported interpretation right now is:

UHC has paused the January 1 go-live operationally, but the written policies on UHCProvider still show January 1, 2026 and still describe the two-indication restriction.


Why this matters operationally (even if the delay is real)

This kind of gap between a payer’s “we’re delaying” communication and their posted policy artifacts creates avoidable failure modes:

Claims and enrollment decisions are often driven by machine-readable “effective date” and coverage text (or staff who only see the PDF). If your workflow treats the published policy as authoritative without a parallel “payer operational guidance” layer, you can prematurely stop enrolling patients, change diagnosis gating, or change billing behavior in ways that reduce revenue or disrupt care.

On the other side, if you ignore the written policy because “it was delayed,” you risk being unprepared when UHC flips enforcement on with a revised effective date later in 2026.

The right stance is not “panic” or “ignore.” It’s “operate under current rules, but be ready to pivot instantly when the enforcement date becomes real.”


What we’re doing in FairPath so you don’t have to babysit this

This is exactly the situation FairPath was built for: payer policy volatility around RPM where the written artifacts, portal guidance, and real-world adjudication don’t update in lockstep.

In FairPath, we treat payer changes as versioned operational rules with explicit effective dates and exception handling, so you can:

Keep running your RPM program under today’s rules while the postponement is in effect.
Switch immediately when UHC publishes a revised timeline or begins enforcing edits.
Maintain an audit trail of “what rule was active when” so billing, compliance, and appeals are defensible.

And because we’re already tracking the UHC RPM documents and the public confirmations of postponement, you don’t need to scramble during the last week of the year to reconcile contradictory signals.

With 10 days left in the year, no matter what happens with UnitedHealthcare next, we’ve got you covered.

Check out FairPath for Remote Care.

The Enrollment Spike Trap: Why Fast RPM Growth Is a 2026 Audit Risk

If you run an independent practice, rapid RPM growth probably still feels like a win.

For years, the prevailing advice was simple: enroll more patients, deploy more devices, and let scale solve the economics. When reimbursement was loose and audits felt distant, that approach often worked well enough.

But 2026 is changing the incentives in a way many practices are not fully accounting for yet.

Today, the biggest risk in RPM is no longer whether your staff can handle the workload. The bigger risk is financial: scaling a program faster than you can prove eligibility, medical necessity, and service delivery.

That gap is what I call compliance debt. And sudden enrollment spikes are one of the clearest signals that compliance debt may be building.


Why 2026 Changes the Math for RPM

Two forces are converging at the same time.

First, commercial payers are tightening how they define medically necessary RPM. UnitedHealthcare’s Commercial and Individual Exchange policy effective January 1, 2026 draws a much sharper line around which conditions qualify and which do not. This alone changes the revenue stability of many existing RPM panels.

Second, CMS is continuing to evolve primary-care payment toward structured, month-based management models like Advanced Primary Care Management. New APCM options and add-on codes are expanding in 2026, giving practices alternatives to relying entirely on RPM volume.

Taken together, these shifts create pressure. When one revenue stream tightens, the natural instinct is to increase volume somewhere else. In RPM, that pressure often shows up as aggressive enrollment pushes.

You can see a breakdown of how these payer and CMS changes interact here: https://fairpath.ai/resources/cms-rpm-apcm-2025-26


The OIG Warning Most Practices Will Miss

In August 2025, the Office of Inspector General published a Medicare RPM data snapshot that deserves close attention.

The report confirms what most people already know: RPM usage and payments continue to grow rapidly. In 2024 alone, Medicare RPM payments exceeded $500 million and nearly one million enrollees received monitoring.

But the more important part of the report is not the totals. It is the patterns OIG says warrant further scrutiny.

One of those patterns is sudden spikes in new enrollees.

OIG identified 32 medical practices where new RPM enrollment jumped by at least 150 percent in a single month, representing at least 100 new enrollees added at once. In one example, a practice billed RPM for nearly 3,400 new enrollees in a single month.

OIG is careful to say these spikes can be legitimate. But they also note that similar spikes have been markers of fraud in other Medicare services and therefore signal a need for further scrutiny.

That distinction matters. OIG is not accusing practices of wrongdoing. They are telling CMS and payers where to look first.

Why Enrollment Spikes Happen in 2026 and Why They Get Risky Fast

This is where practice owners need to be clear-eyed about incentives.

If you run your own RPM program, tighter coverage and reimbursement volatility create pressure to add patients to keep revenue steady. But when enrollment grows faster than your ability to document eligibility, medical necessity, and clinical management, you are not scaling income. You are scaling exposure.

If you work with a third-party RPM company, especially one paid on a revenue-share model, the pressure is just as real. When payer changes threaten their book of business, the instinct is to protect volume. That often shows up as enrollment pushes that outpace documentation rigor.

This does not automatically mean anything improper is happening. But it does mean that sudden growth should be treated as a risk event, not a victory lap, because the liability always sits with the billing practice.

If you want to understand where incentives may be misaligned in your current setup, this analyzer can help: https://fairpath.ai/lp1-vendor-analyzer


What an Enrollment Spike Usually Signals

An enrollment spike is not proof of fraud. It is a signal that deserves attention.

In practice, sudden spikes often correlate with one or more of the following:

Enrollment outpacing eligibility and medical necessity documentation.
Patients are onboarded faster than the practice can clearly prove why monitoring was appropriate.

Gaps in the required prior relationship.
The visit may exist in reality, but it is not consistently captured, retrievable, or clearly tied to the RPM start date.

Clinical management capacity lagging behind device deployment.
Devices ship and readings flow, but documented clinical decision-making does not scale at the same rate.

Programs that feel vendor-driven instead of practice-governed.
When enrollment curves look like marketing campaigns, the burden of proof increases dramatically.

This is how compliance debt accumulates quietly.


The Practice-Owner Safeguard Checklist

Before greenlighting a large enrollment push, every practice owner should demand three things.

First, a month-over-month new enrollee report.
You want to see how many patients were added this month, how that compares to the prior month, where those patients came from, and which clinicians ordered monitoring.

If the curve turns into a hockey stick, pause and review before billing.

Second, prior visit and ordering proof for each new enrollee.
For every patient, the practice should be able to quickly produce evidence of the required prior visit, the ordering clinician, and how that visit ties to RPM enrollment.

If your vendor cannot produce this cleanly, the risk is yours.

Third, evidence that clinical management and documentation keep up at scale.
For each billed patient-month, there should be a defensible trail showing device activity, required patient interaction, and clinical decision-making.

If that evidence cannot be produced consistently, the growth is unstable.

A broader audit-readiness checklist is available here:
https://www.fairpath.ai/resources/2025-oig-audit-survival-checklist.html


What to Do If You See a Spike Right Now

Do not panic. But do not ignore it.

Treat the spike as a control moment. Verify before you celebrate.

Run an audit-signal scan using the same kinds of aggregate patterns CMS and OIG look for. You can start with a free RPM Fraud Risk and Optimization Report here: https://fairpath.ai/lp1-oig-audit

If you rely on a third-party RPM vendor, pressure-test the arrangement now, not after a denial or audit letter arrives.
https://fairpath.ai/resources/vendor-exit

Finally, consider whether your 2026 strategy relies too heavily on RPM alone. Many practices are moving toward APCM as a stable base, using RPM selectively where it clearly improves care and remains defensible.

You can explore that transition here: https://fairpath.ai/resources/2026-revenue-compliance-survival-guide


FairPath is your guide

FairPath exists for one reason: defensible revenue.

Not just billing, but the ability to explain and prove your program under scrutiny, patient by patient, month by month.

If you want to see how compliance-as-code can block non-compliant claims before they go out the door: https://fairpath.ai/demo

If you want the platform overview: https://fairpath.ai/how-it-works

If there’s interest, the next logical follow-up to this article is a companion piece on how to structure an APCM-first panel where RPM is used deliberately, not reflexively.

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The RPM 16-Day Rule: Two "Clever" Ways to Circumvent It (And Why They Will Get You Audited)

12/16/25

If you manage a Remote Physiological Monitoring (RPM) program, CPT code 99454 is likely your biggest source of revenue and, also likely, your biggest headache. This code, which reimburses for the supply of the device and data transmission, has long carried a notorious "all-or-nothing" requirement: the patient must transmit data on at least 16 separate days within a 30-day period...

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Is UnitedHealthcare’s RPM Crackdown Really “Evidence-Based”?

12/5/25

Beginning January 1, 2026, UnitedHealthcare (UHC) will dramatically narrow coverage for Remote Physiologic Monitoring (RPM) across its commercial, Medicare Advantage, and exchange plans...

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On one side, we have Symbolic AI. It is defined by clarity and structure. It relies on localist representations—ontologies and knowledge graphs—where every node has a distinct address and meaning....

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Red Alert: UnitedHealthcare Restricting RPM Coverage to Heart Failure & Pregnancy (Effective Jan 1, 2026)

12/3/25

If you are billing RPM for Diabetes, Hypertension, or COPD under UHC, your claims will likely be denied starting January 1st.

If UnitedHealthcare (UHC) is a significant payer for your practice, you need to audit your Remote Patient Monitoring (RPM) panel immediately....

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What CMS Is Actually Doing With RPM And APCM

12/1/25

If you run an independent practice, there is a good chance remote patient monitoring is a sore subject.

You might hear the term 'RPM' and immediately think of a 'gold rush' vendor that flooded your staff with devices, made massive revenue promises, and then vanished when the audit letters started showing up. They left you with messy documentation and a billing setup that never felt like it would survive a serious review...

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The Hidden Pressure No One Talks About in RPM: What Happens at 18 Minutes

11/25/25

Most independent practices didn’t launch remote care programs so they could track timers, chase scattered documentation, or argue with spreadsheets at the end of every month. They adopted RPM and CCM because they believed these programs would keep patients out of the hospital...

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Inside the Remote Care Collapse — and the Path to Recovery

11/4/25

Over the past several years, I’ve heard it all.
Remote patient care is a scam. It doesn’t work. RPM is designed to fail.
I’ve listened to the frustrations from doctors, managers, and administrators who swear that remote care is nothing but another profit scheme wrapped in good intentions...

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The 8% Problem: Why State-of-the-Art LLMs Are Useless for High-Stakes Precision Tasks

10/30/25

In the race to solve complex problems with AI, the default strategy has become brute force: bigger models, more data, larger context windows. We put that assumption to the ultimate test on a critical healthcare task, and the results didn’t just challenge the “bigger is better” mantra; they shattered it...

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CMS’s 2026 Updates Signal a New Era for In-House Remote Care Coordination

10/21/25

Healthcare is on the brink of a fundamental shift. The forthcoming 2026 CMS Physician Fee Schedule updates are far more significant than mere billing adjustments, they signal a new era in remote care coordination. Practices that adapt early will not only enhance patient care but also secure long-term operational advantages...

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CMS Brings Behavioral Health into the APCM Model: What It Means for Primary Care

10/9/25

CMS is quietly reshaping how primary care teams can be paid for mental and emotional health support. Starting in 2026 (if finalized), practices using the new Advanced Primary Care Management (APCM) codes will be able to add small, monthly payments for behavioral health integration...

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Stop Choosing Between APCM and Your RPM/RTM Revenue

10/7/25

If your practice adopted APCM by shutting down RPM and RTM programs, you left money on the table. If you're running all three programs separately, you're burning cash on duplicate documentation and exposing yourself to compliance risk...

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APCM vs. CCM Explained: Medicare’s 2025 Coding Shift Every Primary Care Leader Must Understand

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On January 1, CMS introduced a brand-new benefit called Advanced Primary Care Management (APCM), a monthly payment designed to roll up the core elements of care coordination under a single code. For primary care leaders, this changes the landscape in profound ways. APCM overlaps with Chronic Care Management (CCM)...

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Neurosymbolic Ontologies with Buffaly

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This document outlines a groundbreaking proof of concept for reimagining medical ontologies and artificial intelligence. Buffaly demonstrates how large language models (LLMs) can unexpectedly enable symbolic methods to reach unprecedented levels of effectiveness. This fusion delivers the best of both worlds: completely transparent, "white box" systems capable of autonomous learning directly from raw data...

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Advanced Primary Care Management (APCM) represents one of the more meaningful changes in the CMS Physician Fee Schedule. As of January 1, 2025, practices that adopt this model will be reimbursed through monthly, risk-stratified codes rather than only episodic, time-based billing...

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APCM, Explained: What It Is, Why It Matters, What Patients Gain

9/18/25

Primary care is carrying more risk, more responsibility, and more expectation than ever. The opportunity is that we finally have a model that pays for the work most teams already do between visits. The risk is jumping into tooling and tactics before we agree on the basics....

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Noncompete Clauses In Healthcare: The FTC Warning, APCM Staffing, And Platform Partnerships

9/16/25

The Federal Trade Commission’s Sept. 12 warning to healthcare employers is a simple message with real operational consequences. Overbroad noncompetes, no‑poach language, and “de facto” restraints chill worker mobility and can limit patients’ ability to choose their clinicians. For practices building Advanced Primary Care Management teams, restrictive templates do more than create legal risk...

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The APCM Quick Start Guide: Converting Medicare's Complex Care Program Into Practice Growth

9/9/25

Advanced Primary Care Management represents Medicare's most ambitious attempt to transform primary care economics. Unlike previous programs that nibbled at the margins, APCM fundamentally restructures how practices organize, deliver, and bill for comprehensive care...

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13 Things You Need To Implement Advanced Primary Care Management (APCM)

9/5/25

Advanced Primary Care Management (APCM) is Medicare’s newest program, introduced in 2025 with three billing codes: G0556, G0557, and G0558. This represents a pivotal shift toward value-based primary care by offering monthly reimbursements for delivering continuous, patient-focused services. You're already providing these services—why not get paid for it?

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When Women's Health Can't Wait: How Remote Care Creates Presence in Life's Most Critical Moments

8/26/25

At 2 AM, a new mother in rural Alabama feels her heart racing. She's two weeks postpartum, alone with a newborn while her husband works the night shift. Her blood pressure reading on the home monitor shows 158/95. Within minutes, her care team receives an alert. By 6 AM, a nurse has called, medications are adjusted, and what could have been a stroke becomes a story of crisis averted.

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Medical Remote Care: How Vendor Models Shift Margin and When to Bring RPM In-House

8/18/25

Many health systems pay full-service RPM vendors $40–$80 PMPM for services they can in-source for far less. With 2025 Medicare rates and OIG scrutiny, it's time to revisit the build-vs-buy math.

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Why 73% of Practices Still Fear Remote Care and How the Winning 27% Think Differently

8/11/25

A few months ago, a physician at a 12-doctor practice in rural California called me frustrated. His practice was hemorrhaging money on readmissions, his nurses were burning out from phone tag with chronic disease patients, and his administrator was getting pressure from...

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Reclaiming Revenue: How Smart Medical Executives Are Transforming Remote Care into Sustainable Profit Centers

8/6/25

Medical executives today face an uncomfortable reality: while navigating shrinking margins and mounting operational pressures, many are unknowingly surrendering millions in Medicare reimbursements to third-party vendors. The culprit? Poorly structured Remote Patient Monitoring (RPM), Chronic Care Management (CCM)...

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RPM’s $16.9B Gold Rush: Why 88% of Claims Skip CMS Review (And How Industry Leaders Are Responding)

7/23/25

Remote Patient Monitoring (RPM) has rapidly evolved from emerging healthcare innovation into a strategic necessity. Driven aggressively by CMS reimbursement policies, RPM adoption has accelerated at unprecedented rates...

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Medicare's $4.5 Billion Wake-Up Call: What the VBID Sunset Reveals About Risk, Equity, and the Next Era of Value

7/17/25

In a single December blog post, CMS just rewrote the playbook for $400 billion in annual Medicare Advantage spending. The termination of the Medicare Advantage Value-Based Insurance Design...

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Why the AMA’s 2026 RPM Changes Are Exactly What Your Practice Needs

7/8/25

If you've spent any time managing a remote patient monitoring (RPM) program, you already know the drill: juggling the 16-day rule, keeping track of clinical minutes, chasing compliance, and often wondering if this is really what patient-centered care was meant to feel like...

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Healthcare Needs a Group Chat, And Digital Twins Are the Invite

7/1/25

Let’s be honest. Managing your health today feels like trying to coordinate a group project where nobody checks their messages. Your cardiologist, endocrinologist...

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The Great Code Shift: Turning the ICD-11 Mandate into a Competitive Advantage

6/25/25

The healthcare industry still has scars from the ICD-9 to ICD-10 transition. The stories are legendary in Health IT circles: coder productivity plummeting, claim denials surging, and revenue cycles seizing up for months. It was a painful lesson in underestimation...

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Beyond the Box: Finding the Signal in RPM's Next Chapter

6/19/25

In my work with healthcare organizations across the country, I see two distinct patient profiles coming into focus. They represent the past and future of remote care, and every successful practice must now build a bridge between them...

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The Living Echo: How Digital Twins Are Reshaping Personalized Healthcare and Operational Excellence

6/11/25

The healthcare landscape is continuously evolving, and among the most profound shifts emerging is the concept of the Digital Twin for Patients. This technology isn't merely an abstract idea...

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Why the MIPS MVP Model is the Future—and How Your Practice Can Win

6/2/25

Change is inevitable in healthcare. Often, it feels overwhelming—but occasionally, a new shift arrives that genuinely makes things simpler...

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Does RPM Miss What Patients Really Need?

5/27/25

It starts with a data spike… a sudden drop in movement, a rise in reported pain. The alert pings the provider dashboard, hinting at deterioration. But what if that signal isn’t telling the whole truth

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Transforming Chronic Pain: The Power of RPM, RTM, and CCM

5/19/25

Chronic pain isn’t just a condition, it’s a thief. It steals time, joy, and freedom from over 51 million Americans, according to the CDC, costing the economy $560 billion a year. As someone passionate about healthcare innovation, I’ve seen how this silent struggle affects patients, families, and providers...

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Introduction: Demystifying Ontology—Returning to the Roots

5/16/25

In the tech industry today, we frequently toss around sophisticated terms like "ontology", often treating them like magic words that instantly confer depth and meaning. Product managers, software engineers, data scientists—everyone seems eager to invoke..

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APCM Codes: The Quiet Revolution in Primary Care

5/13/25

Picture Mary, 62, balancing a job and early diabetes. Her doctor, Dr. Patel, is her anchor—reviewing labs, coordinating with a nutritionist, tweaking her care plan. But until 2025, Dr. Patel wasn’t paid for this invisible work...

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It Always Starts Small: Lessons from the Front Lines of Healthcare Audits

4/28/25

In healthcare, most of the time, trouble doesn't announce itself with sirens and red flags. It starts quietly. A free dinner here. A paid talk there. An event that feels more like networking than education...

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Unveiling RPM Fraud Risks—A Technical Dive into OIG Findings and FairPath’s AI Fix

4/24/25

The Office of Inspector General’s (OIG) 2024 report, Additional Oversight of Remote Patient Monitoring in Medicare Is Needed (OEI-02-23-00260), isn't just an alert—it's a detailed playbook exposing critical vulnerabilities in Medicare’s Remote Patient Monitoring (RPM) system...

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The Cost of Shortcuts: Lessons From a $4.9 Million Mistake

4/21/25

When the Department of Justice announces settlements, many of us glance at the headlines and move on. Yet, behind those headlines are real stories about real decisions...

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One Biller, One Gap: How a Missing Piece Reshapes Everything

4/14/25

There’s a quiet agreement most of us make in business. It’s not in a contract. It’s not written on a whiteboard. But it runs everything: trust...

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The System Is Rigged: How AI Helps Independent Docs Fight Back

4/10/25

Feeling like you’re drowning in regulations designed by giants, for giants? If you're running a small practice in today's healthcare hellscape, it damn sure feels that way...

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Trust Is the Real Technology: A Lesson in Healthcare Partnerships

4/7/25

When people ask me what Intelligence Factory does, they often expect to hear about AI, automation, or billing systems. And while we do all those things...

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Million Dollar Surprise

4/3/25

“They’re going to put me out of business. They want over a million dollars. I don’t have a million dollars”, his voice cracked over the phone...

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Unlocking AI: A Practical Guide for IT Companies Ready to Make the Leap

12/22/24

Introduction: The AI Revolution is Here—Are You Ready?

Artificial intelligence isn’t just a buzzword anymore—it’s a transformative force reshaping industries worldwide. Yet for many IT companies, the question isn’t whether to adopt AI but how...

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Agentic RAG: Separating Hype from Reality

12/18/24

Agentic AI is rapidly gaining traction as a transformative technology with the potential to revolutionize how we interact with and utilize artificial intelligence. Unlike traditional AI systems that passively respond to...

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From Black Boxes to Clarity: Buffaly's Transparent AI Framework

11/27/24

Large Language Models (LLMs) have ushered in a new era of artificial intelligence, enabling systems to generate human-like text and engage in complex conversations...

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Bridging the Gap Between Language and Action: How Buffaly is Revolutionizing AI

11/26/24

The rapid advancement of Large Language Models (LLMs) has brought remarkable progress in natural language processing, empowering AI systems to understand and generate text with unprecedented fluency. Yet, these systems face...

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When Retrieval Augmented Generation (RAG) Fails

11/25/24

Retrieval Augmented Generation (RAG) sounds like a dream come true for anyone working with AI language models. The idea is simple: enhance models like ChatGPT with external data so...

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SemDB: Solving the Challenges of Graph RAG

11/21/24

In the beginning there was keyword search. Eventually word embeddings came along and we got Vector Databases and Retrieval Augmented...

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Metagraphs and Hypergraphs with ProtoScript and Buffaly

11/20/24

In Volodymyr Pavlyshyn's article, the concepts of Metagraphs and Hypergraphs are explored as a transformative framework for developing relational models in AI agents’ memory systems...

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Chunking Strategies for Retrieval-Augmented Generation (RAG): A Deep Dive into SemDB’s Approach

11/19/24

In the ever-evolving landscape of AI and natural language processing, Retrieval-Augmented Generation (RAG) has emerged as a cornerstone technology...

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Is Your AI a Toy or a Tool? Here’s How to Tell (And Why It Matters)

11/7/24

As artificial intelligence (AI) becomes a powerful part of our daily lives, it’s amazing to see how many directions the technology is taking. From creative tools to customer service automation...

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Stop Going Solo: Why Tech Founders Need a Business-Savvy Co-Founder (And How to Find Yours)

10/24/24

Hey everyone, Justin Brochetti here, Co-founder of Intelligence Factory. We're all about building cutting-edge AI solutions, but I'm not here to talk about that today. Instead, I want to share...

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Why OGAR is the Future of AI-Driven Data Retrieval

9/26/24

When it comes to data retrieval, most organizations today are exploring AI-driven solutions like Retrieval-Augmented Generation (RAG) paired with Large Language Models (LLM)...

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The AI Mirage: How Broken Systems Are Undermining the Future of Business Innovation

9/18/24

Artificial Intelligence. Just say the words, and you can almost hear the hum of futuristic possibilities—robots making decisions, algorithms mastering productivity, and businesses leaping toward unparalleled efficiency...

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A Sales Manager’s Perspective on AI: Boosting Efficiency and Saving Time

8/14/24

As a Sales Manager, my mission is to drive revenue, nurture customer relationships, and ensure my team reaches their goals. AI has emerged as a powerful ally in this mission...

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Prioritizing Patients for Clinical Monitoring Through Exploration

7/1/24

RPM (Remote Patient Monitoring) CPT codes are a way for healthcare providers to get reimbursed for monitoring patients' health remotely using digital devices...

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10X Your Outbound Sales Productivity with Intelligence Factory's AI for Twilio: A VP of Sales Perspective

6/28/24

As VP of Sales, I'm constantly on the lookout for ways to empower my team and maximize their productivity. In today's competitive B2B landscape, every interaction counts...

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Practical Application of AI in Business

6/24/24

In the rapidly evolving tech landscape, the excitement around AI is palpable. But beyond the hype, practical application is where true value lies...

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AI: What the Heck is Going On?

6/19/24

We all grew up with movies of AI and it always seemed to be decades off. Then ChatGPT was announced and suddenly it's everywhere...

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Paper Review: Compression Represents Intelligence Linearly

4/23/24

This is post is the latest in a series where we review a recent paper and try to pull out the salient points. I will attempt to explain the premise...

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SQL for JSON

4/22/24

Everything old is new again. A few years back, the world was on fire with key-value storage systems. I think it was Google's introduction of MapReduce that set the fire...

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Telemedicine App Ends Gender Preference Issues with AWS Powered AI

4/19/24

AWS machine learning enhances MEDEK telemedicine solution to ease gender bias for sensitive online doctor visits...

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