AI-Enabled regional tele-ECG cloud platform and improving access to cardiovascular diagnosis: real-world evidence from southern China
By
Jia Xu
Min Pan
Lin Chen
Juan Fu
Rui Shi
Jun Xie
July 1, 2026
Clinical Scorecard: Cloud-Based Tele-ECG Platform Utilizing AI Enhances Cardiovascular Diagnostic Access: Evidence from Southern China
At a Glance
Category Detail
Condition Cardiovascular Disease (CVD) Key Mechanisms AI-assisted ECG interpretation and centralized specialist review through a cloud-based architecture. Target Population Patients presenting with chest pain at primary healthcare institutions. Care Setting Primary healthcare settings in resource-constrained regions.
Key Highlights
Median clinical decision-making time decreased from 10 to 3 minutes (70% reduction). Diagnostic accuracy at the PHC level increased from 82.30% to 98.11%. Survival-to-discharge rate of 75.00% among acute MI cases at PHC institutions. Average patient saving of 26 CNY per encounter. Annual net social benefit of 154,182.50 CNY for the regional network. Guideline-Based Recommendations
Diagnosis
Utilize AI-assisted ECG interpretation for improved diagnostic accuracy. Management
Implement cloud-based tele-ECG platforms to enhance access to cardiovascular diagnostics. Monitoring & Follow-up
Track clinical decision-making times and diagnostic accuracy post-implementation. Risks
Potential confounding from seasonal population migration affecting outcomes. Patient & Prescribing Data
Individuals with suspected myocardial infarction at primary healthcare institutions.
AI-enabled platforms can significantly reduce delays in emergency cardiovascular care.
Clinical Best Practices
Integrate AI technologies in primary healthcare settings to improve diagnostic capabilities. Establish collaborative networks to enhance access to specialist expertise. Related Resources & Content
