Predict the likelihood of critical adverse events among patients in the next 24 hours – empowering clinical teams to intervene early and deliver essential care to those who need it most.
Early Warning Index
(H2O-EWI)
Temporary text, will need updated corrected copy: H2O-EWI delivered $800K in savings per year for a single care unit in major hospital system.
How it works.
H2O-EWI leverages hundreds of clinical and contextual inputs such as lab results, surgery details, and medications to predict each patient’s likelihood of experiencing a critical adverse event.
H2O-EWI predicts each patient’s likelihood of clinical deterioration in the next 24 hours, providing probability scores that help care teams identify risk and prioritize interventions. Each prediction includes an explanation plot highlighting the key factors driving the outcome, powered by Explainable AI (XAI) for transparency and trust.
H2O-EWI provides proactive alerts using red-coded indicators to signal urgency. The model continuously refreshes with the most recent data, ensuring every prediction remains accurate and up to date.
Join top health organizations using H2O’s Early Warning Index.
“This tool gives our team the confidence to spot at-risk patients early, so we can step in sooner and deliver the care they truly need.”
Jane Orange
Surgeon at ABC Children’s Hospital
H2O-EWI integrates with most EHRs so you can keep everything in one place. Automatically enroll new patients and send data to provide insights into their original chart.
Integrate with your Electronic Health Records (EHR) System
Coming Soon! Stay connected to patient flow with our new mobile and tablet app.
Our mobile and tablet app is launching soon, designed to give care teams near real time access to patient flow insights, discharge predictions, and alerts from anywhere in the hospital or on the move.
Questions about predictive models and data? Ask H2O!
Ask H2O is more than a chatbot, it’s a co-intelligence agent that seamlessly integrates with EHR data to deliver reliable answers and support clear, transparent interactions within the H2O-EWI solution. Simply ask a question about your data and receive fast, trustworthy, data-driven responses in user-friendly language.
FAQs
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H2O-EWI predicts the likelihood of critical adverse events among patients before they occur. By identifying at-risk patients early, it enables timely interventions that improve outcomes and reduce emergency escalations.
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The system analyzes the most recent clinical data from your EHR – including vitals, labs, notes, and more to calculate the probability of a critical adverse event for each patient. This predictive insight helps clinicians prioritize patients whose conditions may worsen, prompting proactive care decisions.
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H2O-EWI enhances situational awareness across the care team by surfacing early warning signals directly within existing workflows. It supports faster communication between nurses, physicians, and rapid response teams – improving coordination and response times.
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By proactively identifying changes in a patient’s condition, the system helps clinicians intervene before deterioration occurs.
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Hospitals using the Early Warning Index typically see:
Improved patient outcomes and safety.
Enhanced staff communication and coordination.
Reduced emergency interventions through earlier detection.
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It reduces administrative burden by identifying patients who may not appear to be deteriorating but are at elevated risk. The system assigns each patient a probability score, helping clinicians focus attention where it’s needed most.
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H2O-EWI helps conserve critical care resources. It ensures high-acuity capacity is available for the patients who need it most, improving operational resilience.
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Yes. The solution can seamlessly integrate with major EHR platforms, pulling in the most recent and relevant patient data. Alerts and insights are delivered directly within the clinician’s workflow to ensure adoption and ease of use.
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Absolutely. The predictive algorithms have been rigorously tested and validated using real-world hospital data to ensure accuracy, reliability, and clinical safety. The models use large datasets exclusively from your health system and are retrained to adapt to evolving patient populations and clinical practices.
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We are committed to protecting patient privacy and data. We comply with industry-standard data protection laws and are continually enhancing our security measures. Please contact us for additional information.