High-resolution intra-operative waveforms and clinical data from 6,388 surgical cases — served as FHIR R4, a perpetual virtual real-time monitor, and raw per-case files. Public, read-only, no key.
Location, Patient, Encounter, Observation, plus INSPIRE Procedure / Condition / Medication. Query per case.
Every case loops back-to-back forever. Poll $sample to drive
a live patient monitor.
Per-case parquet (analysis) and .vital files, plus clinical and lab tables.
# a case's track list curl https://api.vitaldb.net/fhir/Observation?encounter=1&_summary=true # 10 s of ECG from whichever case OR1 is "playing" right now curl "https://api.vitaldb.net/fhir/Location/OR1/\$sample?code=SNUADC/ECG_II&window=10" # whole case for ML (Python, pip install vitaldb) python -c "import vitaldb; vf=vitaldb.VitalFile('https://api.vitaldb.net/1.parquet'); print(vf.get_track_names())"