Clinical registries are vital Quality Improvement mechanisms, but most health systems find the process of manual data abstraction to submit to registries resource intensive and costly. Layer Health's Distill platform uses the latest Large Language Model technology within a seamless workflow to support rapid chart review and abstraction for any clinical registry. Health systems can save 60+% in abstractor time while achieving human level or better performance.

KenSci is the world’s first vertically integrated machine learning platform for healthcare. Our ambition is to make healthcare more proactive, more coordinated and more accountable. KenSci's Machine Learning Platform and Predictive Analytics Apps answer the hard questions about 'Who might get sick?', 'What can we do about it?', and 'How can we serve them better across the continuum of care?' The company is a team of Doctors, Data Scientists and Developers focussed on fighting Death with Data Science to improve the overall quality of care and lower healthcare costs.

KenSci is the world’s first vertically integrated machine learning platform for healthcare. Our ambition is to make healthcare more proactive, more coordinated and more accountable. KenSci's Machine Learning Platform and Predictive Analytics Apps answer the hard questions about 'Who might get sick?', 'What can we do about it?', and 'How can we serve them better across the continuum of care?' The company is a team of Doctors, Data Scientists and Developers focussed on fighting Death with Data Science to improve the overall quality of care and lower healthcare costs.

Enables comprehensive end-to-end chart review and abstraction functionality for major clinical registries (e.g., AHA GWTG, ACS NSQIP and others)

AI-powered software solution for health systems - reducing manual chart review time while keeping QI skills in house.