Mednition
Mednition is a healthcare technology company founded in 2014, dedicated to improving healthcare delivery and saving lives through AI-powered solutions. Their flagship product, KATE, is a real-time clinical decision support system designed specifically for emergency nurses to enhance triage accuracy, reduce clinical risk, and improve patient outcomes. The company collaborates with leading healthcare institutions and organizations to advance emergency care, address critical challenges like sepsis detection, capacity crisis, and health inequities, and empower clinicians with innovative AI tools. Mednition is committed to nurse-first AI development, integrating seamlessly into existing workflows, supporting the future of healthcare with a focus on physical, mental, spiritual, and social healing.
Industries
Nr. of Employees
small (1-50)
Mednition
Burlingame, California, United States, North America
Products
Real-time AI triage decision support platform
Clinician-focused platform that analyzes triage EHR data in real time to identify and prioritize high-risk patients and surface potential under- or over-triage assignments.
Real-time AI triage decision support platform
Clinician-focused platform that analyzes triage EHR data in real time to identify and prioritize high-risk patients and surface potential under- or over-triage assignments.
Services
SaaS deployment and EHR integration
Cloud subscription deployment with integration to existing electronic health records and clinical messaging systems; includes implementation support, clinician-centered workflow integration, and limited training requirements.
Clinical validation and performance evaluation
Prospective pilots, retrospective analyses, and statistical performance measurement to validate predictive models and quantify clinical and operational impacts of deployment.
Data analytics and operational modeling
Analytic services using aggregated de-identified clinical data to model protocol impacts, forecast throughput, and support ROI and operational planning.
SaaS deployment and EHR integration
Cloud subscription deployment with integration to existing electronic health records and clinical messaging systems; includes implementation support, clinician-centered workflow integration, and limited training requirements.
Clinical validation and performance evaluation
Prospective pilots, retrospective analyses, and statistical performance measurement to validate predictive models and quantify clinical and operational impacts of deployment.
Data analytics and operational modeling
Analytic services using aggregated de-identified clinical data to model protocol impacts, forecast throughput, and support ROI and operational planning.
Expertise Areas
- AI-driven triage decision support
- Predictive modeling for early sepsis using triage data
- Clinical natural language processing and EHR integration
- Clinical validation and prospective/retrospective study execution
Key Technologies
- Real-time machine learning for clinical decision support
- Natural language processing of EHR free-text
- Predictive modeling using triage-only inputs
- Cloud-based SaaS architecture and EHR interfaces