TIGER DATA · TIMESCALEDB
Vitals trends
Every reading is also written to a Tiger Data hypertable: compressed history plus continuous aggregates, so the 30-day view stays fast as the data grows.
Readings stored–
Compression–– → –
Chunks–compressed / total (1 day each)
Trend query–from vitals
Who is changing (last 24 h)
Change in heart rate since each patient's first reading. Largest rise first.
| Patient | Source | Readings | HR first → last | HR trend | SpO2 first → lowest | Max pain |
|---|---|---|---|---|---|---|
| No readings yet. Check a patient in or start the replay. | ||||||
Waiting-room load, last 7 days
Patients with readings each hour, from the hourly continuous aggregate (built on the 5-minute one). Amber is the share whose SpO2 dropped below 92%.
No history yet. Run scripts/seed_tiger.py.
History is synthetic seed data. Not a medical device.