Research Insight at Unprecedented Scale
Accelerate research productivity and eliminate manual chart review by leveraging deep learning NLP to uncover insights hidden within unstructured medical text to simplify cohort identification and identify trends in patient health, disease progression, and treatment efficacy.
The emtelliPro Natural Language Processing (NLP) engine creates structured data from the unstructured text of medical documents to uncover deep insights into patient health and disease, freeing researchers from manual chart review and unlocking research productivity.
Accelerate Multi-Disciplinary Research: Intelligently compare cross-specialty findings within new and historic data across patient charts and clinical departments in real-time (e.g. EMR/EHR, RIS, PACS, LIS, CVIS, etc.).
Gain access to population-level insights: Collect, correlate, and visualize millions of patient records in real-time to inform clinical service line development and expansion based on population health needs and trends.
Simplify Cohort Identification: Automate the identification, collection, and correlation of research cohorts at enterprise or population levels to build broad, reliable, and representative datasets.
Protect Patient Privacy: Process and anonymize millions of of reports daily to ensure timely research insights that don’t compromise patient privacy.
Improve Reliability and Eliminate Bias: Improve the accuracy and reliability of your
research findings by eliminating conscious and unconscious bias inherent in human-based data analysis.
Quantify Research ROI: Accurately measure clinical and financial ROI associated with research-driven improvements.
Create Structured, Searchable Data: Identify, extract, structure, and codify clinical insights from unstructured, narrative text of medical to build data warehouses that are ready for mining.
Built by Medical Experts, for Medical Experts: Designed from the ground-up by a practicing radiologist, backed by leading NLP data scientists and domain experts.