Artificial Intelligence, Machine Learning, and Natural Language Understanding | intelligencefactory.ai
Joined September 2024
- Tweets 358
- Following 92
- Followers 23
- Likes 746
55 Photos and videos
Intelligence Factory retweeted
Feb 22
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…
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Intelligence Factory retweeted
Feb 14
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
x.com/matthewfurnari/status/…
Feb 14
Let’s Go!
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Intelligence Factory retweeted
Feb 15
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
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Intelligence Factory retweeted
Feb 14
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32,798
Device logistics just got solved. 📦✅
We are proud to announce our integration with @TenoviHealth to bring one-click cellular device fulfillment to FairPath.
Scale your RPM program without scaling your warehouse.
fairpath.ai/whats-new
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🔹 One-Click Ordering: Trigger drop-shipping directly from the patient chart. 🔹 Cellular-First: No Wi-Fi setup or app pairing required for patients. 🔹 Auto-Sync: Tracking numbers and serials populate the audit trail automatically.
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Now supporting BP, Scales, Glucometers, and Smart Pillboxes.
Read the full update: fairpath.ai/whats-new
#HealthTech #RPM #DigitalHealth #MedTech
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Important update for practices tracking RPM coverage changes:
UnitedHealthcare has postponed its planned RPM coverage rollback for now.
We broke down what changed, what didn’t, and what practices should actually do next:
fairpath.ai/resources/uhc-po…
Jan 6
UnitedHealthcare’s decision to label Remote Patient Monitoring (RPM) as “not proven” and to cut coverage for most conditions, may reflect not only a lack of understanding of the evidence, but a financial calculation.
hubs.li/Q03ZFQ7M0
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@JustinBrochetti posted an in depth analysis of the facts behind RPM and UHC decision. Is it Unproven?
intelligencefactory.ai/blog/…
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Good reminder, Theo. Equally important is the practice of setting rates too high. As pointed out by a recent OIG report charges exceeding 200% of the national average are a "Red Flag" for audit risk.
fairpath.ai/resources/rpm-gu…
See our Fraud Risk Report for more info.
Jan 8
Lots of clinics set telehealth rates at launch and never review. Audit: pull your top 5 payers, check your main telehealth CPT rate (e.g. 99213) against regional benchmarks. Small gaps add up - we've seen 10-25% shortfalls. How often do you review?
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Appreciate @uarizona and @UAZATP for featuring the FairPath Resource Library.
We built this to give practices a clear, vendor-agnostic understanding of RPM, APCM, CCM, and RTM including compliance pitfalls most vendors don’t explain.
fairpath.ai/resources
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Intelligence Factory retweeted
2 Dec 2025
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
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30 Oct 2025
🧵 We took the worst performing LLM in our test (@xai's Grok-4-fast at 0.26% accuracy) and made it the best performer, hitting 79.48% accuracy.
This is the story of how we did it and what it means for AI in healthcare.
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30 Oct 2025
Unguided LLMs from @OpenAI, @xai, etc., are brilliant... and architecturally mismatched for precision. They're built for probabilistic creativity, not deterministic recall.
Read the full deep-dive and see the data for yourself.
Full article: intelligencefactory.ai/blog/…
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