egnite, Inc.
Digital health company focused on cardiovascular care. Uses large-scale de-identified echocardiography and electronic medical record data with machine learning and AI to identify at-risk structural heart patients, prioritize care, generate real-world evidence, and support clinical trial patient identification. Based in Aliso Viejo, California.
Industries
N/A
Nr. of Employees
small (1-50)
Patents
Systems and methods for natural language processing-based classification of electronic medical records
US-12580057-B2
View Details
Systems and methods for natural language processing-based classification of electronic medical records
US-12580057-B2
View DetailsProducts
Cardiovascular patient identification and management platform
Cloud-based platform that uses AI and big data analytics to identify and prioritize structural heart and other cardiovascular patients for guideline-directed care, provide dashboards and benchmarking, and support clinical workflows.
Clinical trial patient identification suite
Research-focused suite to accelerate identification of patients eligible for cardiovascular clinical trials across participating health systems by applying analytics to clinical and echo data.
Cardiovascular patient identification and management platform
Cloud-based platform that uses AI and big data analytics to identify and prioritize structural heart and other cardiovascular patients for guideline-directed care, provide dashboards and benchmarking, and support clinical workflows.
Clinical trial patient identification suite
Research-focused suite to accelerate identification of patients eligible for cardiovascular clinical trials across participating health systems by applying analytics to clinical and echo data.
Services
RWE study design and analytics using a de-identified echocardiography and clinical dataset to support publications, benchmarking, and life-sciences research.
Implementation, demo, and onboarding services for a cloud-based cardiovascular analytics platform, including data ingestion and integration with hospital systems.
RWE study design and analytics using a de-identified echocardiography and clinical dataset to support publications, benchmarking, and life-sciences research.
Implementation, demo, and onboarding services for a cloud-based cardiovascular analytics platform, including data ingestion and integration with hospital systems.
Expertise Areas
- Cardiovascular data analytics
- AI-driven predictive modeling for structural heart disease
- Real-world evidence generation
- Clinical trial patient identification and enrollment support
Key Technologies
- Machine learning and predictive modeling
- Natural language processing and LLM-enriched data processing
- Big data analytics (echocardiography + EMR)
- Cloud-based clinical data platforms
News & Updates
Press announcement of a research-suite expansion that enables hospitals to automatically identify patients eligible for clinical trials across participating health systems.
Article on use of large language models and enriched data to reveal care patterns in cardiovascular populations.
Press release describing AI-powered algorithms that predict undiagnosed severe aortic stenosis and progression of moderate disease using echocardiography and hospital data.
Company feature on use of AI to improve heart health.
Press announcement of a research-suite expansion that enables hospitals to automatically identify patients eligible for clinical trials across participating health systems.
Article on use of large language models and enriched data to reveal care patterns in cardiovascular populations.
Press release describing AI-powered algorithms that predict undiagnosed severe aortic stenosis and progression of moderate disease using echocardiography and hospital data.
Company feature on use of AI to improve heart health.