TL;DR

We supercharge your subject matter experts by giving them the tools they need to eliminate errors in heavily manual processes.

Our current mission: empower healthcare practices to stop denials and under-billing on their claims before they happen.

The Problem

Healthcare claims processing is an overly-complex, adversarial space. Insurance payers are constantly changing their policies, forcing billing teams to rely on:

• frequent and extensive retraining
• coding rules worksheets with hundreds of tabs
• esoteric tribal knowledge

With so much room for human error, it’s no wonder 73% of healthcare staff surveyed reported that they’re facing increasing denials on outgoing claims.

A turnkey solution for medical claims checks

Here’s where Chorrie comes in.

Chorrie uses AI to empower medical practices to turn their esoteric knowledge into automated checks, saving time, money, and mental effort. We take simple, deterministic instructions, and translate them into a code-based decision tree, which can be continuously run to automate correctness checks for complex rules systems.

Take the example in our video: we get a glimpse at how extensive these rules worksheets can become today, and see how quick & easy it is to automate a rule for claims from a particular location, containing a particular code, billed to a particular insurance payer with Chorrie.

Backstops-as-a-service

Our approach of plaintext ➡️ decision tree ➡️ code generation is a scalable technique that can be used to provide backstop checks (and ultimately automate) high-leverage, deterministic manual processes that are prone to human error (think contract review for legal documents, trade confirmations, etc.).

To automate checks for these today, you’d need a team of engineers to write the logic into code, and keep them on staff to ensure that code can be updated when the rules change. With Chorrie, you get:

• A no-code solution: turn your SMEs into SWEs
• No hallucinations in your automated workflows
• Intrinsically deterministic & fully explainable conclusions

While the focus today is on reducing claims denials to 0% for our healthcare clients, we plan to explore use cases in other fields in the future.

About us

We are Chris (the Ch) and Jorrie (the orrie), old friends who met in undergrad at MIT. We met back up years later at Google, where we worked on applied AI for content moderation before we decided it was time to move onto something new.

After brainstorming on a number of projects, Jorrie’s wife, an ophthalmologist, gave us the idea of applying AI to the medical coding world and the rest is history!

Our ask

Do you have any tedious or high-leverage manual processes where errors can cost your business money (Think heavy manual review processes, major transactions that need to be verified, etc.)? Or any contacts in the medical billing world? We’d love to chat.

📧 founders@chorrie.com