DATA INGESTION

Normalizing data from devices that were never designed to talk to each other.

Clinical and monitoring devices ship in dozens of vendor formats. iHealthcare's ingestion layer accepts that heterogeneity at the edge and normalizes it before anything downstream — storage, analysis, alerting — has to think about where a signal came from.

STREAM PROCESSING & STORAGE

Processed as it arrives, kept for as long as it's needed.

Device signals are processed continuously rather than in scheduled batches, so a monitoring view reflects what's happening now. The same event stream is retained as time-series history, available for trend analysis later.

INTELLIGENCE LAYER

What runs on top of the data.

Predictive Analytics

Surfaces trends in a facility's data before they become incidents.

Machine Learning

Models trained on device and event history to classify what's happening.

Digital Twin

A live mirror of a facility's devices and residents, kept in sync with reality.

NLP

Turns free-text notes and alerts into structured, searchable records.

RELATED

Identity, isolation and audit live on the Security & Privacy page.

Read the security approach →

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