Artificial Intelligence, Machine Learning, and Natural Language Understanding | https://xitter.cf/t.co/R7EqzeYyKd
Joined September 2024
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Intelligence Factory retweeted
My Windows / Mobile Codex application is generally available in GitHub today.
- Runs in your browser (multi-session UI, natural copy-paste/edit, image paste support, messaging queue)
- Access from your phone via Tailscale (start on cli, move to on desktop, finish on mobile)
- Reusable .NET embedding classes: drop Codex directly into your C# apps (the web UI is built on them)
Built for .NET Developers
GitHub: github.com/Intelligence-Fact…
Intelligence Factory retweeted
Hey @mattgaetz we're a florida-based AI company and we do this type of analysis for the remote care industry. Some of them are more interesting findings from this data set
* 50% of all Medicaid money for a remote patient monitoring went to clinics that had three or more fraud risk signals
* $414,000 of Medicaid money went to a self-proclaimed spiritual guru for the same program in Delaware.
More findings here
xitter.cf/matthewfurnari/status/…
Intelligence Factory retweeted
Analyzing the HHS Medicaid data for Chronic Care Management. What is up with Iowa?
How is a state with 0.9% of the US Population receiving 45% of the Medicaid Chronic Care Management money?
7 of the top 10 NPIs are in that state.
@DOGE_HHS
Intelligence Factory retweeted
Seeing the same RPM vendor issues pop up in a lot of clinics lately:
Enrollment driven by rev-share instead of clinical need
Patients getting offshore “clinical” calls that reflect badly on the practice
Audits landing on the clinic because the vendor controls the logs
Intelligence Factory retweeted
Most clinics treat MIPS scores like a report card.
But MIPS isn’t just about bonuses—it’s a compliance spotlight.
⚠️ Billing RPM or CCM?
Low MIPS scores = audit magnet.
Because the same gaps that sink your score (no care plans, missing time logs, weak EHR use) are exactly what auditors flag.
MIPS ≠ metrics.
MIPS = risk exposure.
You need billing + quality systems that align.
Not just to get paid...but to stay safe.
#Medicare #MIPS #RPM #MedicalBilling #HealthcareCompliance
Intelligence Factory retweeted
RPM audits are surging—Medicare’s spending jumped from $15M to $311M in just 3 years (OIG 2024). Don’t fall for these myths:
1) “Only big practices get audited.” Nope, 43% of claims miss key pieces like device data.
2) “My notes are enough.” CMS demands logs, consents, and timestamps.
3) “I’ll get a heads-up.” Wrong...clawbacks hit fast if you’re flagged.
FairPath keeps your billing CMS-ready from day one. What’s your biggest audit worry?
#HealthcareCompliance #RPM
Intelligence Factory retweeted
I’ve seen clinics destroyed by Medicare clawbacks—not because they committed fraud, but because they couldn’t prove they didn’t.
That’s why I built FairPath: an AI driven approach to RPM, RTM, and CCM billing.
Intelligence Factory retweeted
We've saved our clients over $8.6 million in clawbacks so far.
Most clinics don’t lose Medicare audits because they did something wrong. They lose because they can’t prove they didn’t. In this post, @matthewfurnari explains how FairPath helps practices stay ready—without the stress. Read it here: intelligencefactory.ai/blog/…
Intelligence Factory retweeted
Check out our tools at @IntelFactoryAI instead of equipping the big insurance companies with yet more AI tools to fight their customers, we're turning the tables and allowing small practices to fight back against AI-powered insurance denials!
Intelligence Factory retweeted
Why put yourself through the headache of dealing with billing battles?! Your time is better spent on patients.
Intelligence Factory retweeted
So thankful for the shout-out and for following my journey. Giving our hometown the tools that huge metropolitan areas have is a priority of mine. I appreciate anyone that slows down to say hi and ask questions...
Intelligence Factory retweeted
Betley et al. (2025) fine-tune LLMs on sketchy code and—poof—turn them into digital Nazis. "Emergent misalignment"? Qi et al. (2024) show a light shove trashes safety; Bhardwaj et al. (2024) note fine-tuning after RLHF routinely guts alignment. It’s a tired, well-known mess.
Distributed representation locks it in: a black box we can’t crack or tame. LLMs spread knowledge over a vast, messy web of weights—powerful, sure, but impossible to fully grasp. Nudge one bit, like sneaky code flaws, and it ripples into quirks we can’t predict or chart. That’s why misalignment keeps rearing up—its depth dwarfs our grip. Marvel at it, fine, but don’t sleep on the risks.
Intelligence Factory retweeted
UnitedHealthcare’s AI denied care with a 90% error rate, costing patients $150K+ & LIVES. Lawsuit’s moving forward.
Intelligence Factory’s ethical AI fixes claims - safe, controlled. understandable. Fight back.
