International Journal For Multidisciplinary Research

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Pilot Study for Timely Detection and Management of ST-Elevation Myocardial Infarction (STEMI) in the Jammu Division

Author(s) Ms. Arita Acharjee, Dr. Heena Shaikh
Country India
Abstract Background:
Cardiovascular diseases (CVDs), especially ST-Elevation Myocardial Infarction (STEMI), represent a critical public health challenge in India, contributing significantly to premature mortality. In resource-constrained settings like the Jammu Division, delays in diagnosis and limited access to timely care exacerbate the problem. The average delay from symptom onset to treatment exceeds 360 minutes, far beyond the recommended 60-minute window, resulting in avoidable fatalities.
Objective:
This pilot study aimed to evaluate the effectiveness of Tricog’s InstaECG solution in enabling rapid, AI-assisted ECG interpretation and streamlined care pathways to improve STEMI detection and response in semi-urban and rural public health facilities across the Jammu Division.
Methodology:
Approved by the Directorate of Health Services, Jammu Division, the pilot was implemented between January 11 and April 26, 2023, across four government health facilities in Jammu and Samba districts. The intervention included deploying AI-enabled ECG machines, real-time cloud-based data transmission, and mobile app-based feedback to physicians. Pre-implementation diagnostics, training for health staff, and appointment of STEMI coordinators ensured smooth execution.

Outcomes:
Screening Reach: 2,080 patients screened post-implementation, a significant scale-up from 262 during the baseline phase.
STEMI Detection Rate: Increased from 0.3% to 1.8%, reflecting an 85.7% improvement.
Diagnosis Turnaround Time: Reduced from 73 minutes to just 4 minutes, a 94.5% reduction.
Timely Intervention: Thrombolysis was initiated in STEMI patients within an average of 26 minutes post-ECG, well within the golden hour.
Clinical Outcomes: Among 23 critical STEMI patients referred to a tertiary center, 21 survived—reflecting a 5% mortality rate, notably better than the national average.
System Strengthening: Real-time analytics, integrated care protocols, and digital triaging demonstrated scalable and replicable improvements.

Conclusion:
The Jammu STEMI Pilot successfully demonstrated that AI-powered, technology-enabled diagnostic systems can revolutionize acute cardiac care delivery in low-resource public health settings. By drastically reducing diagnostic delays and ensuring structured treatment pathways, the pilot not only improved patient outcomes but also established a replicable model for broader implementation across similar geographies. The findings support the scale-up of Tricog’s InstaECG solution under state and national health missions, particularly in Tier 2 and Tier 3 regions, to bridge the urban-rural cardiac care divide and reduce CVD-related mortality.
Keywords ST- Elevated Myocardial Infarction (STEMI), InstaECG, technology-driven diagnosis, Golden Hour, Remote Cardiac Care, Heart Attack
Field Medical / Pharmacy
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-09-11
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.55320
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