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ECG OMI

AI-enabled ECG surveillance in emergency workflows

YNHHS Innovation Awards - Silver Award Winner

Rohit Sangal, MD
Lead Rohit Sangal, MD
Team Lovedeep Dhingra, MBBS; Rohan Khera, MD; Philip Kroon, MD; Sumukh V. Shankar; Arjun Venkatesh, MD
Description

Timely recognition of acute coronary occlusion remains a major challenge in emergency care. A meaningful proportion of high-risk patients present with subtle ECG findings that are not detected through traditional pathways, leading to delays in treatment.

This solution introduces a real-time ECG surveillance system embedded in emergency department workflows. The system continuously analyzes ECG data and surfaces high-risk patterns for clinician review to support earlier recognition and escalation.

Target Impact

The system functions as both a diagnostic support tool and a workflow safety net, reducing missed or delayed diagnoses and improving consistency across care settings.

Project Lead's Vision

The team is focused on closing the gap between detection and action in acute care. The goal is to embed real-time decision support into frontline workflows and demonstrate measurable improvements in timeliness of care and patient outcomes.

View All 2026 Winners