What capability distinguishes modern continuous monitoring from its telemetry predecessors?

Ability to detect subtle trends like gradual changes in heart rate variability

Modern continuous health monitoring separates itself from earlier telemetry by leveraging advanced algorithms rooted in data science and sophisticated sensing. While predecessors focused on capturing immediate, critical events or delivering single intermittent snapshots, contemporary systems are capable of filtering noise to identify subtle, creeping deviations over time. This includes noticing minor fluctuations in resting heart rate variability or gradual shifts in sleep patterns. This ability to detect minor trends allows clinicians to gain insights that surpass what could be captured during periodic checks, providing a much richer temporal resolution of the patient’s health status.