Atropos Health’s ChatRWD blends generative AI based chat interface with our time-honed technologies for rapid real-world evidence

The result is simple Q&A to AI-powered observational studies on the dataset of your choice in minutes. Beating our industry-leading turnaround time with the Green Button Informatics Consult Service.

Atropos Health rapidly transforms medical data into real-world evidence, closing evidence gaps in medicine and expediting research from months to minutes. 

Web-based clinical intelligence platform, primarily utilized in critical care units to guide clinical decisions. The platform has full interoperability with the Electronic Health Record, and combines all relevant data within the complex critical care environment into one visualization to provide a full picture of a patient and their longitudinal trends. FDA-cleared algorithms continually assess the incoming patient information and provide early warning signs of clinical deterioration to aid care teams with determining interventions and treatment. Automated clinical workflows, customized to each individual ICU, provide care efficiency and positively impact clinical outcomes. 

Published clinical outcomes showing:

• Up to 36% reduction in ICU length of stay
• 41% reduction in ICU readmissions
• 22% reduction in time on ventilation
• 18% reduction in time on vasoactive medication

Commercial stage company with market leading AI clinical decision support platform for bedside and remote monitoring of high acuity patients. Published outcomes and strong ROI; utilized in 40+ hospitals & health systems.

no similar capability in EHR

Speed, 100% peer-reviewed methodology, generates high-quality, real-world evidence from real-world data, versus summarization of existing literature only

Etiometry provides functionality to seamlessly extend the EHR to be effective for care in high-acuity patient settings (e.g. ICU), including automating clinical workflows, and providing in-depth, longitudinal trends.

Etiometry is the only CDS platform with 4 FDA-cleared risk algorithms and the platform's data collection capabilities have led to a vastly larger number of supporting clinical studies (>150).