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
Now supporting BP, Scales, Glucometers, and Smart Pillboxes.
Read the full update: fairpath.ai/whats-new
#HealthTech #RPM #DigitalHealth #MedTech
🔹 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.
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
Looking at your publication I notice this structured data representation between the LLM and the prescription. We found that adding an Ontology to the LLM reduced hallucination from 92% (GPT 5) to 8% when mapping from Clinical terms to SNOMED.
More information:
fairpath.ai/resources/2026-r…
Mistake #2: Coding Inaccuracies and Documentation Steps. Very important.
I noticed on your Remote Patient Monitoring page, that you have not updated with the new codes for RPM (99445 and 99470). Just want to make sure you know about the changes for 2026 that might affect you.
@JustinBrochetti posted an in depth analysis of the facts behind RPM and UHC decision. Is it Unproven?
intelligencefactory.ai/blog/…
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…
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
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.
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
