Agamon is an AI-powered healthcare platform that utilizes natural language processing to convert unstructured clinical text into structured data. This transformation enhances data accessibility for healthcare providers, enabling improved data analysis and informed decision-making to elevate patient care.
Funding
$4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many patients do not adhere to recommended follow-up care after initial medical encounters, particularly concerning incidental findings or screening programs. This lack of adherence can lead to delayed diagnoses, poorer patient outcomes, and increased healthcare costs. Clinical teams often face significant burdens in tracking and coordinating patient follow-up, especially when dealing with unstructured data in electronic health records (EHRs).
Solution
Agamon Health offers an AI-powered platform, Coordinate, that automates the identification and closure of patient care gaps. The platform uses generative AI to analyze unstructured clinical data within EHRs, identifying patients who require follow-up across various service lines, including radiology, cardiology, pulmonology, oncology, and urology. Coordinate then triages patients based on clinical criteria, tracks their follow-up status against clinical guidelines, and facilitates communication of recommendations to both referring providers and patients. The platform also monitors the status of follow-up orders and automates their creation, ensuring timely intervention and improved patient adherence.
Target Audience
The primary target audience includes healthcare systems, imaging centers, and cancer centers seeking to automate care management, improve patient adherence to follow-up recommendations, and reduce administrative burdens on clinical staff.
Features
- Generative AI-powered analysis of unstructured clinical text to identify patients requiring follow-up care.
- Automated patient triage based on site-specific clinical criteria.
- Real-time tracking of patient follow-up status against established clinical guidelines.
- Automated communication of patient recommendations to referring providers and patients.
- Integration with EHR systems to monitor and facilitate follow-up order creation.
- Customizable workflows to meet the needs of various clinical settings and care providers.
- Adaptive communication features to promote health equity and improve adherence rates in diverse communities.