Prehospital 12-Lead ECG Teletransmission in Acute Coronary Syndromes: Diagnostic, Prognostic, and Systems-of-Care

Ernest Tomczak1, Lukasz Gawinski1, Karol Matewski1

  • 1Department of Cardiology, Invasive Cardiology and Electrophysiology, Regional Specialist Hospital, 86-300 Grudziadz, Poland.

Insights

Prehospital electrocardiogram (ECG) teletransmission speeds up diagnosis and treatment for acute coronary syndrome (ACS), particularly ST-elevation myocardial infarction (STEMI). This technology improves care coordination and reduces critical delays in reperfusion therapy.

Area of Science:

  • Cardiology
  • Emergency Medicine
  • Health Systems Research

Background:

  • Acute coronary syndrome (ACS) is a major global cause of cardiovascular mortality.
  • Timely diagnosis and reperfusion therapy are critical for improving ACS patient outcomes.
  • Prehospital 12-lead ECG teletransmission is a key technology in modern cardiac care.

Purpose of the Study:

  • To review current evidence on prehospital 12-lead ECG teletransmission for ACS diagnosis and management.
  • To evaluate the impact of prehospital ECG teletransmission on healthcare systems and clinical outcomes.

Main Methods:

  • Narrative literature review of PubMed publications from 1998 onwards (search completed May 15, 2026).
  • Included studies on prehospital ECG teletransmission, STEMI networks, interpretation, treatment delays, and system logistics.
  • Incorporated current European Society of Cardiology and ACC/AHA/ACEP/NAEMSP/SCAI guidelines.

Main Results:

  • Prehospital ECG teletransmission facilitates earlier STEMI diagnosis and direct referral to PCI-capable centers.
  • Teletransmission systems are associated with reduced first medical contact-to-device and door-to-device times.
  • Identified limitations include interpretation variability, false-positive activations, and infrastructure barriers.

Conclusions:

  • ECG teletransmission is integral to regional STEMI care, enhancing organization and reducing reperfusion delays.
  • Future advancements in AI-assisted ECG interpretation and telemedicine can further improve diagnostic accuracy and prehospital care effectiveness.

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