Lime ScribeLime Health
|
StarCoderBigCode
|
|||||
Related Products
|
||||||
About
Lime Scribe is an ambient AI scribe purpose-built for home health and hospice agencies. Unlike physician-office scribes (Suki, Nuance DAX, DeepScribe), Lime is designed around OASIS-E2, HOPE, PDGM, and the workflows post-acute clinicians actually use.
The differentiator: every chart is verified by a certified home health coder before it reaches your EHR. AI captures the visit; a credentialed human verifies OASIS items, ICD-10 codes, and visit details. Standard with every engagement, not an upsell.
Capabilities:
- Ambient AI captures OASIS-E2, HOPE, and visit notes from the natural encounter
- Coder-verified ICD-10 coding (PDGM-optimized, audit-ready)
- Real-time OASIS QA flags Section GG errors and SDOH gaps
- Admissions intake automation: parses referrals, verifies eligibility
- Native EMR integration: HCHB, WellSky, MatrixCare, Axxess, DSL, Netsmart, KanTime
HIPAA compliant. Signed BAAs. 30,000+ charts processed yearly. 4.9-star clinician rating.
|
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
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Supported
|
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Home health and hospice agencies in the United States. Used by RNs, PTs, OTs, SLPs, social workers, and chaplains in the field, plus OASIS QA reviewers, certified ICD-10 coders, intake coordinators, and agency operators (DON, VP Clinical, COO, CFO).
|
Audience
Developers interested in an LLM for code generation
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Not Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
PricingCustom
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationLime Health
Founded: 2025
United States
getlimeai.com
|
Company InformationBigCode
Founded: 2023
huggingface.co/blog/starcoder
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
|
|||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
ChatGPT
Not Supported
CodeQwen
Not Supported
Git
Not Supported
GitHub
Not Supported
LM Studio
Not Supported
OpenAI
Not Supported
Python
Not Supported
Tabby
Not Supported
Taylor AI
Not Supported
Visual Studio Code
Not Supported
|
Integrations
ChatGPT
Supported
CodeQwen
Supported
Git
Supported
GitHub
Supported
LM Studio
Supported
OpenAI
Supported
Python
Supported
Tabby
Supported
Taylor AI
Supported
Visual Studio Code
Supported
|
|||||
|
|
|