Real-Time Data for E-Commerce: Stream Processing Use Cases

Healthcare stream processing monitors patient vitals, detects clinical anomalies, and triggers alerts in real time. Streaming SQL processes continuous data from bedside monitors, wearables, and medical devices.

Patient Monitoring with SQL

-- Vital signs stream from bedside monitors
CREATE SOURCE vitals (patient_id VARCHAR, metric VARCHAR, value DECIMAL,
  unit VARCHAR, ts TIMESTAMP WITH TIME ZONE)
WITH (connector='kafka', topic='patient-vitals', ...);

-- Abnormal vital detection
CREATE MATERIALIZED VIEW vital_alerts AS
SELECT patient_id, metric, value, ts,
  CASE
    WHEN metric='heart_rate' AND (value<40 OR value>150) THEN 'CRITICAL'
    WHEN metric='spo2' AND value<90 THEN 'CRITICAL'
    WHEN metric='blood_pressure_sys' AND value>180 THEN 'HIGH'
    ELSE 'NORMAL'
  END as severity
FROM vitals WHERE
  (metric='heart_rate' AND (value<40 OR value>150)) OR
  (metric='spo2' AND value<90) OR
  (metric='blood_pressure_sys' AND value>180);

Frequently Asked Questions

Can streaming databases meet healthcare compliance (HIPAA)?

RisingWave is self-hostable, so PHI stays within your infrastructure. Data encryption, access controls, and audit logging can be configured to meet HIPAA requirements. The streaming engine itself is infrastructure — compliance depends on deployment configuration.