Introducing:
Lighten Abstraction
A breakthrough AI service to abstract any clinical concepts from unstructured data
Evidence highlights
Temporal and clinical reasoning
Abstraction of a patient journey
We've trained thousands of nurse abstractors.
Large language models are only part of the solution. We know what it takes to navigate nuanced clinical reasoning across a patient journey.
We take pride in our quality.
We deliver performance metrics from rigorous validations. We will always be transparent about performance, providing evidence for every abstraction. No more arbitrary agreement scores or weighted percentages.
Don't have clinical guidelines or gold labels?
We create them grounded in your data and needs, or work with your existing ones. Enjoy Earth's most customer centric clinical abstraction one-stop service.
You control your data
Encryption at rest and HIPAA compliant
Your private AI model. Your data is not used to improve other models other than your own.
Deployed in a virtual private cloud, custom built for your needs
Coming Soon
Identify the right patients in real time
A no-code enterprise data platform that wrangles structured and unstructured clinical data into meaningful patient cohorts.
Data agnostic
Full traceability
Research-grade rigor
FAQ
Frequently Asked Questions
What kinds of data does Lighten support?
We work with free text data and PDFs, including CSV tables, scanned faxes, imaging reports, but we do not support images at this time.
Does Lighten support integration with my existing data pipeline?
Yes! We will work with you to build private, secure connectors to seamlessly integrate into your data pipeline.
What use cases do you support?
We support a variety of use cases - from building patient cohorts based on unstructured data to abstracting data for research purposes, commercial use cases, and more.
I do not have gold-standards or guidelines, can I still use Lighten Abstraction?
Yes! We are a one-stop abstraction service. We will help you create gold-standard labels and guidelines grounded in your data.
How many patients can you abstract?
We support use cases across the spectrum: from use cases that have small number of patients (such as in rare diseases) to the ones that have tens of millions of patients.
