THE PROBLEM
The evidence exists. The protocols exist. The challenge is reliable execution.
For heart attack, stroke, sepsis, and other time-sensitive conditions, evidence-based protocols already define what should happen. The challenge is recognizing every moment they apply, amid thousands of patients, competing priorities, and care teams working around the clock.
INTELLIGENCE VS. EXECUTION
From clinical intelligence to clinical execution
SmartCareAI doesn’t stop at knowing what should happen. It helps make sure it happens.
SmartCareAI is built to close the gap between clinical intelligence and protocol execution.
clinical ai often…
Identifies risk or generates insight
Surfaces information to the care team
Notifies clinicians that attention is needed
Ends with an alert or recommendation
Supports an individual decision or task
Measures AI/model performance
FIRST MODULE · ACS/STEMI
Starting where minutes matter. Built for time-sensitive care at scale.
Patients with acute coronary syndrome don’t always arrive with classic symptoms, which makes early recognition hard at the front door of the emergency department. Yet a timely ECG is essential to identifying STEMI and starting definitive care.
SmartCareAI’s first application begins at ED registration — recognizing patients who meet criteria for ACS screening, monitoring whether the expected ECG happens, and initiating the next step when it doesn’t.
The goal: every eligible patient on the right pathway, as early and reliably as possible — on infrastructure built to carry the next condition.
See the first module →
THE FOUNDER
Built by a physician who spent fifteen years inside the problem.
Dr. Maame Yaa “Maya” Yiadom has worked across the full pathway— clinical problem, evidence, technology, health-system integration, implementation, patient-care impact. More than $11 million in non-dilutive NIH research funding supports the science underlying SmartCareAI.
STANFORD DEVELOPED · NIH-FUNDED · EMERGENCY MEDICINE
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