HCC Coding EngineAptarro
|
StarCoderBigCode
|
|||||
Related Products
|
||||||
About
Aptarro’s HCC Coding Engine is an AI‑powered solution that integrates seamlessly with electronic medical records and practice management systems to scan every patient encounter in real time, automatically identifying and closing coding gaps to ensure all Hierarchical Condition Category (HCC) diagnoses are accurately captured for optimal risk adjustment and revenue. By applying industry‑proven rules and machine learning models, it prioritizes high‑value encounters for coder review, boosts productivity up to 300% per coder without adding provider workload, and reduces denials through real‑time validation and compliance updates. With exception‑based workflows, clear dashboards for RAF score trends, built‑in audit trails and logging, and fast implementation within existing workflows, organizations see immediate ROI in their first billing cycle and unlock millions in missed revenue while maintaining clinical focus and documentation integrity.
|
About
StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder.
We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Revenue cycle and coding teams seeking a tool to automate and optimize HCC risk adjustment coding to maximize payments with minimal manual effort
|
Audience
Developers interested in an LLM for code generation
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationAptarro
United States
www.aptarro.com/hcc-coding
|
Company InformationBigCode
Founded: 2023
huggingface.co/blog/starcoder
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
ChatGPT
CodeQwen
Git
GitHub
LM Studio
OpenAI
Python
Tabby
Taylor AI
Visual Studio Code
|
Integrations
ChatGPT
CodeQwen
Git
GitHub
LM Studio
OpenAI
Python
Tabby
Taylor AI
Visual Studio Code
|
|||||
|
|
|