How modern hospital step-down units store and query hundreds of gigabytes of raw physiological waveforms for retrospective clinical review.
When a step-down patient suffers a sudden syncope or cardiac arrest, cardiologists must review the preceding 24 hours of beat-by-beat waveforms to identify subtle onset rhythms, such as progressive QT prolongation or silent runs of non-sustained ventricular tachycardia.
Storing continuous waveforms requires partitioning time-series chunks into 1-minute compressed binary blobs indexed by patient UUID and millisecond UTC timestamps in a distributed columnar database.
Physicians can scrub through 30 days of data in seconds, zooming from high-level daily heart rate histograms down to individual microvolt ECG complexes with caliper measurement overlays.