Most "healthcare AI" tools are just general chatbots behind a login.
RiggsMedAI is different. These tools are custom-built medical models, designed by a practicing physician,
to handle real clinical work — fast, predictable, and without relying on a general-purpose chatbot to do the core clinical work.
Built for physicians, medical directors, and healthcare teams who want AI that behaves predictably.
Healthcare doesn't need another chatbot guessing at medical decisions.
RiggsMedAI tools are designed to do one clinical job at a time —
billing, de-identification, analytics — using purpose-built AI models,
not general-purpose language models trained on the internet.
No speculative
"AI advice"
No prompt
guessing
No unpredictable
behavior
No surprise
usage costs
Most AI healthcare products work like this:
Your clinical text is sent to a large chatbot, and the response comes back seconds later.
RiggsMedAI works differently.
These tools use custom-trained deep learning models, built specifically for medical documentation and workflows.
Some tools may use large language models selectively for explanation or review — never as the primary decision engine.
This isn't "AI chat." It's clinical-grade automation.
Reads a physician note and suggests the correct E/M code — instantly.
This is not a chatbot guessing at billing. A language model is used only for post-hoc analysis and explanation — not for code prediction. It's a custom deep neural network, trained on real hospitalist documentation to predict E/M codes with clinical-grade accuracy. See exactly which parts of the note influenced the code.
Removes PHI while keeping clinical meaning intact.
Instead of replacing names with ugly [REDACTED] blocks, this tool generates realistic surrogates that preserve readability and context. Built using a fine-tuned clinical language model, not a generic text filter. Open source on Hugging Face.
Real-time insight into physician performance and patient experience.
This system tracks satisfaction metrics across multiple facilities and delivers live dashboards, automated trend analysis, and SMS alerts for score changes. Designed for medical directors who want visibility without spreadsheet chaos.
Find duplicate and overlapping charges before they become denials.
Upload a weekly charge report and instantly identify duplicate E/M charges, overlapping encounters, and visits that need timeline review. Built with HIPAA-aligned workflows and zero long-term data storage.
I'm Gary Riggs — a practicing hospitalist and Medical Director.
I write notes. I deal with billing headaches. I answer patient complaints. And I see firsthand where technology helps — and where it fails.
RiggsMedAI tools are not academic experiments or investor demos. They're built to survive the messy reality of real clinical work.
No clinical data used to train public AI models
No prompt logging to third-party chatbots
Narrow, auditable models — not open-ended AI
Built and maintained by a practicing physician
Interested in tools that prioritize accuracy, speed, and accountability over hype?
riggsmed@gmail.com