Evaluating latency, network reliability, and data privacy in modern clinical artificial intelligence deployments.
Cloud infrastructure introduces round-trip latencies of 50 to 500 milliseconds, subject to hospital Wi-Fi congestion and external fiber cuts. Acute defibrillation triggers and closed-loop infusion control cannot tolerate external dependencies.
By processing raw physiological waveforms locally and transmitting only distilled clinical features and verified alerts to the EHR, edge computing dramatically reduces the attack surface and patient data exposure risk.
The optimal architecture combines edge inference for real-time alerting with cloud data lakes for long-term population health modeling and continuous model retraining under FDA PCCP guidelines.