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
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.
KATE AI
KATE is an Artificial Intelligence solution that provides 24/7 real-time clinical risk guidance for emergency nurses to understand high-risk clinical presentations and get patients on the right care pathway.
KATE Sepsis
KATE Sepsis provides real-time, accurate, and early sepsis risk detection by using more than 500+ clinical data concepts from a patient's medical record, including structured and unstructured clinical free-text.
KATE for ESI Acuity Assignment
KATE empowers ED nurses with real-time notifications at triage for anomalies in care that merit a second look, using artificial intelligence to predict patient acuity without workflow disruptions.
Clinical Data Engine
The Clinical Data Engine (CDE) provides real-time analytics and enables research-grade ad hoc retrospective analysis on all EHR data, including free text search.
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.
KATE AI
KATE is an Artificial Intelligence solution that provides 24/7 real-time clinical risk guidance for emergency nurses to understand high-risk clinical presentations and get patients on the right care pathway.
KATE Sepsis
KATE Sepsis provides real-time, accurate, and early sepsis risk detection by using more than 500+ clinical data concepts from a patient's medical record, including structured and unstructured clinical free-text.
KATE for ESI Acuity Assignment
KATE empowers ED nurses with real-time notifications at triage for anomalies in care that merit a second look, using artificial intelligence to predict patient acuity without workflow disruptions.
Clinical Data Engine
The Clinical Data Engine (CDE) provides real-time analytics and enables research-grade ad hoc retrospective analysis on all EHR data, including free text search.
Services
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.
Prospective pilots, retrospective analyses, and statistical performance measurement to validate predictive models and quantify clinical and operational impacts of deployment.
Analytic services using aggregated de-identified clinical data to model protocol impacts, forecast throughput, and support ROI and operational planning.
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.
Prospective pilots, retrospective analyses, and statistical performance measurement to validate predictive models and quantify clinical and operational impacts of deployment.
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
News & Updates
KATE AI was awarded 'Best in Show' at HIMMS'25 for Capacity Crisis Solution, demonstrating its ability to optimize patient flow and address overcrowding.
KATE Sepsis received FDA Breakthrough Device Designation, recognizing it as a significant advancement in early sepsis detection.
Mednition's solutions, including KATE, are transforming emergency care by providing real-time AI support to nurses, improving triage accuracy, and supporting early detection of critical conditions like sepsis.
Mednition collaborates with organizations like Adventist Health and ENA to enhance triage systems, improve patient outcomes, and advance emergency nursing practice through AI.
Awarded for Capacity Crisis Solution, recognizing innovative AI technology in healthcare.
Recognized as a significant breakthrough in early sepsis detection technology.
KATE AI was awarded 'Best in Show' at HIMMS'25 for Capacity Crisis Solution, demonstrating its ability to optimize patient flow and address overcrowding.
KATE Sepsis received FDA Breakthrough Device Designation, recognizing it as a significant advancement in early sepsis detection.
Mednition's solutions, including KATE, are transforming emergency care by providing real-time AI support to nurses, improving triage accuracy, and supporting early detection of critical conditions like sepsis.
Mednition collaborates with organizations like Adventist Health and ENA to enhance triage systems, improve patient outcomes, and advance emergency nursing practice through AI.
Awarded for Capacity Crisis Solution, recognizing innovative AI technology in healthcare.
Recognized as a significant breakthrough in early sepsis detection technology.