The intelligence layer behind smart wards.
A device-agnostic clinical intelligence stack that reads any bedside monitor, structures vitals in real time, reasons over physiology, and turns those signals into evidence-linked clinical action.
Three productized layers. One clinical intelligence system.
ASTA combines monitor reading, physiological reasoning, and clinical output in one continuous path from signal to bedside action.
Computer Vision Layer
Reads existing bedside monitors and converts displayed numerics into structured vital streams without APIs, hardware taps, or vendor-specific integration.
PPLM Reasoning Layer
A 10–20B parameter physiological language model reasons over continuous vital trajectories to surface deterioration context. Live deployment integration coming soon.
Clinical Output Layer
Frames evidence-linked outputs and escalation guidance so the receiving nurse or clinician gets usable bedside context.
From monitor pixels to clinical action.
A simplified view of how ASTA moves from bedside monitor display to evidence-linked clinical output.
Monitor display
ASTA starts with the bedside monitor already in use.
Structured extraction
Computer vision converts displayed numerics into structured, time-stamped vitals.
Physiological embedding
Vital windows are normalized into machine-readable physiological state embeddings.
Deterioration interpretation
Alerts trigger on vitals exceeding threshold and on camera obstruction detection. PPLM ranks deterioration context above the raw alert.
Clinical output
Vitals are captured continuously every 5 seconds, not static snapshots. Output reflects current patient trajectory, framed for the receiving clinical role.
ASTA starts with the bedside monitor already in use.
Computer vision converts displayed numerics into structured, time-stamped vitals.
Vital windows are normalized into machine-readable physiological state embeddings.
Alerts trigger on vitals exceeding threshold and on camera obstruction detection. PPLM ranks deterioration context above the raw alert.
Vitals are captured continuously every 5 seconds, not static snapshots. Output reflects current patient trajectory, framed for the receiving clinical role.
The monitor-reading layer that unlocks deployment.
ASTA begins on the hospital's existing bedside monitors, so deployment does not wait on proprietary integrations, hardware taps, or a monitor refresh cycle.
ASTA works with the monitor already at the bed rather than requiring a new fleet or a vendor feed.
Displayed numerics become structured HR, BP, SpO2, and RR streams for downstream reasoning.
Monitor reading starts without hospital IT integration, proprietary APIs, or hardware taps.
The capture point is the monitor display. The workflow is built around numerical data extraction, not patient imagery.
Vendor-agnostic monitor reading makes ASTA additive to the infrastructure already in place.
Physiological reasoning beyond threshold-only monitoring.
PPLM is what turns monitor reading into clinical intelligence. A 10–20B parameter physiological language model reasons over continuous trajectories and pattern shifts so output reflects deterioration context, not just a line crossing or a static score. Live deployment integration is coming soon.
Continuous trajectories
Looks at how vitals move across time windows, not one reading at a time.
Pattern interpretation
Detects deterioration signatures that threshold logic may miss or detect late.
Ranked clinical context
Surfaces likely deterioration context instead of sending a raw alert alone.
Evidence-linked output
Carries the reasoning pathway into the output so escalation remains explainable.
This is where ASTA moves beyond monitor reading into clinically useful reasoning.
Designed to fit hospital environments, not rebuild them.
ASTA fits hospital environments with monitor-facing bedside capture, a controlled processing posture, and interoperable outputs across on-prem, hybrid, or managed cloud deployment.
Bedside capture
Monitor-facing capture reads displayed numerics from the bedside monitor already in use.
Local extraction
Vital streams are extracted, normalized, and buffered for continuous downstream reasoning.
Controlled deployment posture
Hospitals can adopt on-prem, hybrid, or managed cloud deployment under their own governance model.
Interoperable outputs
Structured outputs and escalation context can map into HL7/FHIR-aligned workflows when needed.
Numerical data only
No patient imagery is required in the monitoring workflow. The design centers on monitor numerics, not patient video.
Hospital-defined data residency
Retention and environment posture are defined by the hospital and enforced by the selected deployment model.
Flexible infrastructure posture
ASTA can operate in on-prem, hybrid, or managed cloud environments depending on site requirements.
Additive integration model
Monitor reading starts without hospital IT integration. Downstream workflow connectivity can be added when the site is ready.
Monitor reading starts without hospital IT integration. Workflow and EMR connectivity can be added as later layers, not day-one prerequisites.
Proof points that stand up to technical review.
ASTA's public proof stays focused on what serious buyers need to evaluate: monitor-reading accuracy, cross-OEM coverage, training scale, field deployment, and end-to-end latency.
Monitor-reading extraction accuracy
Device-agnostic monitor support
Training scale behind the CV layer
Live deployment footprint
Current field footprint
Low-latency monitor-to-output pipeline
For platform evaluation, ASTA leads with monitor-reading accuracy, device breadth, real hospital operation, and low-latency output.
Review ASTA's platform architecture and deployment fit.Review ASTA's platform architecture and deployment fit.
A focused session with the ASTA platform team covering monitor compatibility, reasoning architecture, deployment posture, and technical fit for your hospital.