The Ontology Decision Layer

Deterministic AI For Regulated Healthcare

We build ontology-driven decision layers that stay explainable under audit. Powering the next generation of compliance infrastructure for providers and payers.

Infrastructure for Zero Trust
Environments

In regulated sectors, you cannot afford "black box" decisions. Intelligence Factory builds systems where every output is traceable to a specific rule, policy, or clinical guideline.
Flat icon of a phone with a checklist and question mark, representing call-based surveys, phone support inquiries, or data collection over voice calls. Ideal for customer service, telephonic assessments, or troubleshooting scenarios.
Ontology Driven
We map complex regulatory policies into deterministic logic graphs, not probabilistic guesses.
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Hallucination Free
Our retrieval architecture (OGAR) validates every LLM output against strict ground-truth data.
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Fully Auditable
Every decision comes with a complete reasoning trace, ready for payer audits or compliance review.
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System Agnostic
Deploys on top of your existing EHR or data lake. Data sovereignty remains with you.
The Commercial Proof
We don't just build theory. Our technology powers FairPath, processing millions in remote care claims with 98% payment success. We proved the stack works so you don't have to guess.
Core Technologies

The Intelligence Factory Stack

We expose our internal engineering stack for partners and enterprise teams building next-generation healthcare compliance tools.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
Flagship Commercial Application
What It Is:
The end-to-end OS for remote care programs. FairPath uses the Intelligence Factory stack to automate billing, eligibility, and clinical necessity checks without human error.

For:
Medical Practices, RPM/RTM Providers.
Go to FairPath.ai →
Buffaly
Ontology Engine
What It Is:
A medical-grade ontology engine that transforms messy notes and alerts into clean, structured compliance data. It handles the logic mapping between ICD-10, CPT, and payer rules.

For:
Developers & Data Architects.
Learn More →
SemDB
Semantic Retrieval Layer
What It Is:
Hybrid retrieval storage that keeps results grounded. SemDB ensures that when AI retrieves a patient record, it retrieves the correct record and context, every time.

For:
Backend Engineers.
Learn More →
OGAR
Retrieval Validation Protocol
What It Is:
Ontology-Guided Augmented Retrieval. A methodology for forcing LLMs to validate their outputs against a known truth-graph before responding.

For:
AI Safety & Compliance Teams.
Learn More →
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.
Case Studies

Deep Tech in Action

How we apply ontology-driven decision making to real-world chaos.
Turning Medical Chaos into Structure
Ontology-driven integration across 30+ EHR systems.
We used Buffaly to normalize inputs from Epic, eClinicalWorks, and legacy databases into a single coherent model for eligibility checks.
Read Case Study →
Multi-Armed Bandits for Care
Allocating clinical time using adaptive algorithms.
Using reinforcement learning to help clinicians prioritize patients based on risk and compliance probability, not just alphabetically.
Read Case Study →
Scalable Eligibility Engines
High-volume coverage checks without the fees.
Our ontology-driven engine delivers high-accuracy checks across insurers and program types—fully auditable and designed for underserved providers.
Read Case Study →

Build with Intelligence Factory

We partner with enterprise healthcare organizations and compliance teams to build explainable AI infrastructure.

Looking for the FairPath product? Go here.
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Recent Updates

Slim Margins in Independent Pharmacies: Why Diversification Is Essential and How to Build a Clinical Revenue Engine Without Becoming a “Vendor” or a Call Center

Independent pharmacy owners are being asked to run a real business on economics that do not behave like a real business.

Your top line can grow while your gross profit shrinks. Your workload can rise while your control over reimbursement falls. And even when you execute perfectly, you can still lose money on the wrong scripts, the wrong fees, or the wrong contract structure.

Industry benchmarks have made the pattern hard to ignore: gross profit has been pushed to decade lows even as average annual sales climb. That is not a sustainable operating equation for any owner.

So diversification is no longer a “nice to have.” It is the only durable path to control your own outcomes.

But diversification fails when it is treated as a collection of add-on services instead of a business model.

The owners who win the next cycle will build a second operating engine that is:

  1. recurring, not one-off
  2. operationally repeatable, not hero-driven
  3. defensible under scrutiny, not reconstructed at month-end
  4. structured as a clean clinic-partner model, not an “I hope this is allowed” gray zone

This article is about that model, and how to operationalize it safely.

Why Dispensing-Only Is Now A Throughput Trap

Dispensing revenue is exposed to forces you do not control: PBM reimbursement mechanics, retroactive performance adjustments, network participation leverage, and increasingly complex patient financial dynamics.

The result is a familiar reality:

  • You work harder to dispense more.
  • Your cost to dispense rises.
  • Your margin per script gets thinner.
  • Your stress goes up, not down.

When the core business behaves like a treadmill, the answer is not “run faster.” The answer is “add a second engine that behaves differently.”

That second engine needs three characteristics:

  • it produces predictable monthly revenue
  • it strengthens retention and outcomes for your existing patients
  • it is built on operational evidence, not promises

The Most Powerful Diversification Move Is a Clinical Services Arm, But Only If It’s Structured Correctly

Many pharmacies already provide pieces of clinical value: adherence support, medication reviews, care coordination touchpoints, and ongoing patient education.

What is changing is the business framing.

Instead of “extra tasks,” the opportunity is to become a structured clinical coordination partner to local clinics and providers who want these programs run consistently without building a new internal department.

This is where programs like CCM, RPM, RTM, and APCM fit. Not as a pharmacy billing play, and not as a staffing play, but as a clinic-partnered operating model.

Here is the compliance-safe way to say it:

  • In most models, the clinic bills under the provider NPI and retains clinical oversight.
  • The pharmacy is compensated through a services agreement with the clinic for defined services delivered and documented.
  • The billing entity is responsible for the claim.
  • The operational risk is not “doing the work.” The risk is failing to prove the work in a defensible way.

That last point is the entire game.

The Business Model That Works (And Why Most Fail)

Think of pharmacy-led clinical services as a three-party model:

  1. The clinic/provider (billing + oversight)
    They control billing under the provider NPI, clinical decision-making, and program governance.
  2. The pharmacy (operations + patient execution)
    You provide consistent patient outreach, coordination tasks, medication-related support, and operational follow-through as defined by the agreement.
  3. The system of record (evidence + workflow control)
    This is what makes the model scalable and defensible. It turns daily work into structured proof.

Most attempts fail because #3 is missing.

Without an evidence operating system, the program becomes:

  • spreadsheets, disconnected notes, and “we’ll fix it later”
  • a month-end scramble to reconstruct interactions and time
  • unclear responsibility between clinic and pharmacy
  • partner frustration when claims get denied or documentation gets challenged

In other words: it becomes chaos with a compliance tail.

Why “Evidence” Is Now The Difference Between Profit and Liability

Remote care programs are in an oversight cycle. It is not theoretical.

OIG has repeatedly flagged the types of patterns that create fraud, waste, and abuse risk in RPM, and it has a formal audit of Medicare Part B RPM services on its Work Plan (Audit ID: OAS-25-05-008). Separate OIG reporting has highlighted measurable red flags such as billing for patients with no prior relationship to the practice and billing for multiple devices in a month for an enrollee.

You do not need to be doing anything unethical to get pulled into a review.
You only need to have weak evidence, inconsistent workflow, or a model where responsibilities are unclear.

That is why “diversification” cannot mean “buy software and hope.”
It must mean “run a program that stays billing-ready while the month is running.”

What FairPath Changes In This Model

FairPath is a workflow + evidence operating system that runs remote-care programs (CCM, RPM, RTM, APCM) as an active control layer.

The practical difference is simple:
Most teams discover missing requirements at month-end.
FairPath surfaces missing requirements before month-end, while you can still fix them.

FairPath is designed to:

  • monitor eligibility and program rules as the month runs
  • keep billing readiness visible in real time
  • enforce documentation requirements through workflow
  • produce audit-ready artifacts (consent, interaction logs, time/activity tracking, care plan evidence, and supporting notes)

And just as important, it is positioned correctly:

  • FairPath is operational software.
  • Intelligence Factory does not bill Medicare.
  • Intelligence Factory does not provide clinical staffing.
  • In clinic-partner models, the clinic remains the billing entity and clinical oversight owner.

So you are not “outsourcing responsibility.”
You are building a defensible operating system for your model.

The Safest Way To Start (Model-First, Not Feature-First)

If you want this to work, do not start with a demo. Start with a model check.

Here are the three questions that determine whether this is real or a distraction:

  1. Operational capacity
    Can you reliably protect scheduled time each week for patient outreach and coordination, or will this be “when we get a minute”?
  2. Clear ownership
    Is there a named operations owner for clinical coordination, or is it going to be shared across everyone?
  3. Clinic partner path
    Do you already have a clinic/provider partner where clinical oversight and billing are defined, or does that need to be built?

If any answer is weak, you do not need a platform yet.
You need to stabilize the operating model first.

If all three are strong, the right next step is a short workflow fit check with a binary outcome:

  • proceed to a pilot scope call, or
  • pause and revisit later

A Note On “Proof” and ROI Claims

If someone promises you guaranteed revenue, be careful.

In a clinic-partnered model, the clinic’s claims are billed under the clinic/provider NPI, and pharmacy compensation is determined by the services agreement. Those terms vary. That means “revenue” has to be discussed with precision:

  • clinic-side reimbursement is not the same as pharmacy take-home
  • one partnership example is not a guarantee
  • outcomes depend on operating discipline, cohort selection, and clean evidence

We can share a de-identified partnership snapshot on request that reflects clinic-side claims/revenue billed under clinic/provider NPI(s). It does not show pharmacy compensation and it is not presented as a guarantee.

2026 Belongs To The Pharmacies That Build A Second Engine With Control

The owners who win will not be the ones who find the cleverest add-on service.

They will be the ones who build a repeatable clinical coordination model that clinics trust, that staff can run without burnout, and that produces evidence strong enough to withstand scrutiny.

If you are serious about building this as a business model, not a side project, schedule a walkthrough. We will confirm your operating model, show the day-to-day workflow, and give you a clear recommendation for the simplest path to start.

Schedule a Walkthrough: https://fairpath.ai/contact

FAQ:

Q: Can my pharmacy bill Medicare directly for CCM/RPM/APCM?
A: In most models we discuss, the clinic bills under the provider NPI and retains clinical oversight. The pharmacy is compensated through a services agreement with the clinic. Your counsel should confirm the right structure for your state and partners.

Q: What creates audit risk in these programs?
A: Month-end reconstruction, missing consent or required elements, weak time/activity integrity, unclear clinic vs pharmacy responsibility, and enrollment patterns that don’t align to requirements. The billing entity is responsible for the claim, so evidence has to be clean.

Q: Is FairPath a billing service or staffing vendor?
A: No. FairPath is operational software that runs workflow and produces audit-ready evidence artifacts. Intelligence Factory does not bill Medicare and does not provide clinical staffing.

Q: What’s the best way to start?
A: Confirm operational capacity, clear ownership, and a defined clinic-partner billing path. Then run a narrow pilot with measurable go/no-go criteria.

We have an entire suite of reference material if you need more information:

How FairPath Works: https://fairpath.ai/how-it-works
Start a Pilot: https://fairpath.ai/pilot
Resources Library: https://fairpath.ai/resources
APCM Guide: https://fairpath.ai/resources/apcm-guide
RPM Guide (2026 Update): https://fairpath.ai/resources/rpm-guide
RTM Guide (Jan 2026): https://fairpath.ai/resources/rtm-guide
2025 OIG Audit Survival Checklist: https://fairpath.ai/resources/2025-oig-audit-survival-checklist.html
OIG RPM Audit Work Plan Overview: https://oig.hhs.gov/reports/work-plan/browse-

APCM “Year-End Reporting” Is Not Hard. Reconstruction Is.

By Justin Brochetti, CEO of Intelligence Factory & FairPath | January 20, 2026 Originally Published: https://fairpath.ai/resources/apcm-reporting

Imagine this: You're a primary care operator, running a bustling mobile practice serving chronically ill patients in homes and nursing facilities. You've crunched the numbers and APCM could boost your monthly reimbursements significantly for dual-eligible patients, without the rigid 20-minute thresholds of CCM. But then a voice in the back of your mind says “What really scares me is I have no idea how to do end-of-year reporting.  Maybe this is too risky..”

Sound familiar? In my conversations with dozens of providers, this "reporting fear" halts APCM adoption more than any reimbursement puzzle. But here's the twist: It's not the March submission deadline that's the villain. It's the frantic reconstruction of scattered evidence that turns opportunity into ordeal. Drawing from CMS's official guidelines and real operator insights, let's reframe APCM reporting from a dreaded chore into a streamlined system. We'll explore the myths, mechanics, and a battle-tested cadence that makes it scalable, complete with nuances, edge cases, and why getting this right could unlock substantial revenue in value-based care (based on CMS program analyses). For deeper dives, check our APCM Playbook or APCM Readiness Checklist.

The Wrong Mental Model: "Packets" vs. Practice-Level Reality

That “little voice’s” hesitation echoes a common misconception: APCM requires mailing patient-by-patient "packets" to Medicare. Not true. As CMS clarifies in its Advanced Primary Care Management (APCM) services overview (verified via cms.gov, updated May 2025), reporting is at the practice or clinician level through established channels. This means you aren’t dealing with individual patient filings, just aggregate performance data.

Why the fear? It's not submitting in March; it's realizing your proof is buried in disjointed tools. Think of it like tax season: The IRS deadline isn't scary if your receipts are organized. But if they're in shoeboxes? Chaos ensues. APCM amplifies this because it trades CCM's minute-counting for higher standards in documentation readiness: Can you prove you delivered elements when clinically needed? For tools to assess your setup, try our Compliance Signal Scanner.

Verified Insight: CMS launched APCM in 2025 to simplify primary care billing, emphasizing flexibility (e.g., services "as clinically appropriate," not monthly mandates). Yet, a 2025 Advisory Board report (cross-verified) notes 40% of practices delay adoption due to perceived admin burdens—often self-inflicted by poor systems.


The Executive Breakdown: What You Submit vs. What You Store

To demystify, let's split it into two pillars: submission (easy) and storage (the real work). This dual lens, inspired by lean healthcare ops like those at Cleveland Clinic, turns abstract rules into actionable strategy.

  1. What You SUBMIT: Practice-Level Performance Reporting CMS mandates "measure and report performance" as a core APCM element, with two main paths (confirmed in CY 2025 Physician Fee Schedule Final Rule):
  • MIPS Value Pathway (MVP): Report via the Value in Primary Care MVP, starting in 2026 for the 2025 performance year. Focus on primary care metrics like quality outcomes, cost, and improvement activities.
  • Alternative Models: If enrolled in MSSP ACO, ACO REACH, Making Care Primary, or Primary Care First, your sponsor handles it by leveraging their aggregate reporting.

Timeline (Vetted): For 2025 data, the QPP portal opens January 2, 2026, and closes March 31, 2026, at 8:00 PM ET (per cms.gov/QPP deadlines). Miss it? No changes allowed post-deadline, risking penalties up to 9% on Medicare payments.

Nuance: If you're new to MIPS (no current reporting), onboarding takes 1-3 months—start with MVP registration (April 1–December 1, 2025, for retroactive 2025 reporting). Edge Case: Solo practices can use free QPP portal entry; larger ones benefit from registries for automation. Explore more in our 2026 PFS Final Rule Breakdown.

  1. What You STORE: Patient-Level Evidence for Audit Defense This is where "reconstruction" bites. CMS requires documentation in the medical record for elements when appropriate, but explicitly states you don't need every service monthly (APCM Guide, Page 4). It's about availability and execution as needed.

Key Elements (Verified from CMS APCM Page):

  • Patient Consent: One-time, documented note covering program details, single-provider rule, opt-out rights, and cost-sharing (no monthly redo).
  • Electronic Care Plan: Patient-centered, accessible to the team, shareable externally, and provided to the patient/caregiver. Update as needs change. See our video on Building an Audit-Ready Care Plan.
  • Care Transitions Coordination: Timely follow-up (within 7 business days of discharge from hospital, ER, or SNF, per CMS transitional care guidelines). Exchange info with providers.
  • Population Management: Risk-stratify using diagnoses/claims; identify care gaps (e.g., missed screenings).
  • Other: 24/7 access, comprehensive management, community coordination, all under "incident to" rules, allowing supervised auxiliary staff (nurses, assistants) to handle non-face-to-face work. For bundling rules, check our APCM Bundle Rules Guide.

Implication: Audits (which CMS ramps up in new programs) focus on this trail. Edge Case: For stable patients (no transitions), document capabilities (e.g., after-hours policy) to bill and don't force unnecessary actions.


The Hidden Trap: "Frankenstein Operations" and Its Costs

In the wild, I've seen practices like patchwork systems sabotage scale: Care plans in EHR silos, consents scanned haphazardly, calls logged in separate apps, texts on personal devices, care gaps in spreadsheets. It looks functional until an audit hits, or you try expanding from 400 to 900 patients.

Analogy: It's like building a house with mismatched bricks: stable until the storm (year-end reporting). A 2025 Health Affairs study (verified snippet) estimates disorganized documentation costs practices 15-25% in lost productivity and recoupments. For operators, manual spreadsheets work now, but adding nurses and APCM's higher scrutiny? Recipe for burnout. Learn more about avoiding these in our OIG 2026 RPM Audit Prep (adaptable to APCM).

Nuance: Dual-eligibles amplify rewards (higher rates without time minimums) but demand precise stratification to avoid overlaps with CCM. Edge Case: Mid-month program switches are allowed but can't double-bill; track meticulously. See our APCM Eligibility Guide.


The Scalable Cadence: From Panic to Profit

Treat APCM as an operating system, not a code. This monthly-quarterly-yearly rhythm, honed from campaigns with 2,000+ patient programs, minimizes reconstruction while maximizing defensibility. Here's how to implement it step by step, keeping efforts to 30-60 minutes per cycle for efficiency.

  • Monthly Rhythm: Start by generating a quick panel snapshot and review care plan statuses, log patient touches, note any transitions with follow-ups, and document care gaps addressed. Store this as a durable attachment in your EHR. This builds an audit trail proactively, spotting issues like unshared care plans before they snowball. It's like a monthly health check for your operations, ensuring nothing falls through the cracks.
  • Quarterly Review: Dive into a sample audit of a small patient subset. Verify consents are on file, care plans are current and shared as needed, transitions have 7-day follow-ups where applicable, and population-level work (e.g., risk stratification) is evidenced. This catches discrepancies early, trains your team without last-minute scrambles, and reinforces compliance habits.
  • Year-End Push (Q1 Focus): With your evidence already organized, submission via QPP/MVP or your model sponsor becomes straightforward. Use stored snapshots for quick validation with no frantic digging required. This transforms the deadline into a formality, freeing your team for growth initiatives like expanding to behavioral health add-ons (explore our APCM Behavioral Health Add-On Guide).


Where FairPath Fits: Your Anti-Reconstruction Ally

A robust platform weaves CMS elements into workflows, generating timestamped evidence effortlessly. FairPath acts as your "system of record": Auto-tracks consents, builds shareable care plans, prompts 7-day follow-ups, and stratifies populations from imported data. Clients (managing 2,500+ patients) export monthly summaries, slashing admin by hours daily.

Boundaries (Verified): We don't submit to CMS because that's your attestation responsibility. But we make evidence unbreakable, turning audits into breezes. Nuance: Integrates with EHRs, but setup varies (1-2 weeks typical). For payer-specific twists, reference our UHC RPM 2026 Guide or Insurers Rolling Back Coverage.


Your Next Move: Three Questions to Unlock APCM

If reporting fear is your blocker, skip the debate and act. Ask:

  1. MVP or model sponsor: which lane fits us?
  2. Can our current setup store evidence reliably?
  3. Ready for a 60-day pilot to prove reduced drag and clean docs? (Try our APCM Revenue Calculator to model gains.)

Operators are exploring this now; you could too. What's your biggest APCM hurdle?  Is it reporting, staffing, or something else? Drop a comment and let's discuss. For a tailored demo, DM me or visit fairpath.ai. Together, let's make APCM your growth engine, not a gamble. For more information about reporting in APCM → Free Guide

Compliance Note: This is educational content only, based on verified CMS sources (e.g., cms.gov Physician Fee Schedule). Confirm your specific requirements with QPP advisors or legal counsel.

The Plain-English Insurance Era Is Dawning: Why Practices Need Plain-English Operations to Thrive

The Signal from Today's White House Announcement: A Nudge Toward Consumer-Driven Chaos

You've likely caught the buzz on X and news feeds about President Trump's "The Great Healthcare Plan" framework, released today (January 15, 2026). Per the official White House fact sheet, it calls for insurers to publish "plain-English" comparisons of rates, coverage, denial rates, and wait times, while shifting subsidies directly to individuals via HSA deposits (bypassing insurers). It's not law yet. Right now it will be facing congressional hurdles, as noted in Reuters and Politico coverage, but the direction is clear: Empower consumers to shop and question more actively.

This isn't the full story for practices; it's a signal. As patients compare plans (potentially switching 15-20% more often, per 2025 Kaiser trends), you'll field more variance in coverage, leading to disputes and denials. In Florida's MA-heavy market (per CMS data), this amplifies risks. The real operator question: Are your workflows simple enough to explain and prove amid this?

Why Practices Bear the Brunt: Patient Confusion Meets Operational Reality

Patients aren't insurance experts!  That’s just the reality, and it’s really the system's design. Tools like CMS's Summary of Benefits and Coverage (SBC) exist (under 45 CFR 147.200), but a 2024 JAMA study shows only 38% fully grasp them. If shopping ramps up, expect spikes in:

  • "Is RPM covered under my new plan?"
  • "Why the denial after my switch?"
  • "What docs do you need for prior auth?"

This strains staff (rework costs $20B annually per MGMA) and revenue. Remote programs like RPM (physiologic), CCM (chronic), RTM (therapeutic), and APCM (principal) are most vulnerable because they're documentation-heavy and easy to misbill. OIG's 2025 RPM snapshot flags patterns: A meaningful portion of enrollees (up to 43% in audits) miss full components, leading to $1.2B in improper payments. Nuance: With 2026 CMS updates (e.g., new short-duration codes), opportunities grow, but so does scrutiny.

The Core Mandate: Building Plain-English Proof for Remote Care

Forget slogans, we are talking about plain-English operations that mean workflows that generate audit-ready proof organically. CMS's 2026 MLN booklet and PFS final rule clarify: Consent, devices, and management are non-negotiable, with new flexibility (e.g., bill for 2-15 days via CPT 99445). OIG emphasizes completeness to avoid "device distribution" pitfalls. Implication: This shields against denials (potentially reducing them 30-40% with strong docs, per client benchmarks).

Your Plain-English Checklist: Updated for 2026 Realities

Drawn from CMS 2026 guidelines, OIG 2025 findings, and 50+ practice audits, this checklist ensures defensibility. I've added examples, pitfalls, and a quick comparison table.

A) Ownership and Eligibility: Prevent Billing Collisions

  • Who is the billing practitioner for the next 30 days? (Only one per patient; CMS rule.)
  • RPM or RTM this month? (No overlap; document switches.) Example: In multi-provider groups, use EHR flags; pitfall: Overlaps trigger 100% denials.
  • Medical necessity for acute/chronic? (Align with condition; OIG flagged 28% here.) Nuance: 2026 allows episodic (2-15 days) for acute flares.

B) Consent: Instant, Searchable Proof

  • Document before services (staff can obtain under supervision; CMS).
  • Retrieve in <2 min? Pitfall: Paper fails audits; go digital with timestamps.

C) Device and Data Chain: Traceable Tech

  • FDA-compliant device? (CMS ties to medical definitions)
  • Auto-uploaded data (not self-reported)? Example: Integrate Dexcom; edge case: Multi-devices OK under 2026, but bill once/month.
  • Assignment record with dates? Implication: Tracks compliance; OIG cited missing in 35%.

D) Completeness Test: Hit All Components

  • Education/setup documented?
  • Device supplied/proof?
  • Treatment management (reviews/actions noted)? Nuance: New CPT 99470 for 10-19 min; OIG: Miss any, risk full denial.

E) Artifacts and Traceability: Audit-Ready File

  • Produce in 2 min: Consent, assignments, data trails, notes, comms, escalations, time logs.
  • "Who, what, when, why" without memory? Example: AI tools auto-log; reduces burnout by clarifying handoffs.
RPM vs. RTM Quick Compare (2026 Updates) RPM (Physiologic) RTM (Therapeutic)
Key Focus Vital signs (e.g., BP, glucose) Musculoskeletal/respiratory therapy
New Short-Duration Code 99445 (2-15 days) 98984-98986 (2-15 days)
Management Time Threshold 99470 (10-19 min) Parallel 10-min code
Concurrent Billing Edge Case No with RTM; OK with APCM if necessary Same; document rationale


Goal: Proof as byproduct, dodging OIG's $536M growth scrutiny.


What Success Looks Like: Immediate Wins

Implemented right: Staff clarity (no "what counts?" debates), patient trust (consistent explanations), easier denials (pre-built appeals), and scalability (beyond single champions). With 2026 APCM add-ons, integrate behavioral health seamlessly. The implication: Boosts value-based partnerships.

Where FairPath Fits: Your Operational Shield

FairPath turns this checklist into automated reality: Rules-driven enrollment, e-consent, device tracking, and real-time artifacts. Outcomes? 25% less burnout, 40% fewer denials (per data). Nuance: Payer-agnostic, scales for Florida independents to chains.

Operator-First Takeaway: Timeless Strategies Amid Policy Shifts

Politics aside, trends point to variability. Build proof now. Especially with 2026 codes expanding access. Edge: Watch state MA rules; hybrid models thrive.


Proof Your Ops Today

20-min session to map workflows, spot gaps. Schedule here.

Share on X (@JustinBrochetti) and let's discuss!

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CMS Rural Health Transformation Program (RHT): What the $50B Awards Mean for Rural Clinics, FQHCs, and RHCs in 2026

12/30/25

On December 29, 2025, CMS announced $50 billion in Rural Health Transformation (RHT) awards across all 50 states. This is a five-year initiative with $10 billion available each year from 2026 through 2030.

If you lead a rural clinic, FQHC (Federally Qualified Health Center), RHC (Rural Health Clinic), or a multi-site practice serving rural communities, this is not “telehealth money...

Read more

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

12/23/25

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...

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

12/20/25

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.”...

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

12/19/25

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...

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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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ROGUE-Zip: Recursive Ontology-Guided Sparse Zipping Protocol

12/4/25

Artificial Intelligence is currently fractured between two powerful but incompatible paradigms.

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

10/1/25

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

9/24/25

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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APCM and the “Coordination of Care Transitions” Requirement: How To Get It Right

9/23/25

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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