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A 3-layer clinical intelligence stack for hospital deployment.

From computer vision monitor reading to physiological reasoning and role-aware escalation.

From data extraction to reasoning to action, ASTA operates as one clinical intelligence loop.

01

Computer Vision Layer

Reads existing bedside monitors and converts displayed numerics into structured vital streams without APIs, hardware taps, or vendor-specific integration.

  • Extracts HR, BP, SpO2, and RR in real time
  • Supports 15+ OEM monitor brands
  • No API or hardware tap required
  • Deploys without vendor lock-in
02

PPLM Reasoning Layer

A 10–20B parameter physiological language model reasons over continuous vital trajectories to surface deterioration context. Live deployment integration coming soon.

  • 10–20B parameter physiological language model
  • Trajectory-aware reasoning over continuous windows
  • Ranked deterioration context
  • Evidence-linked interpretation before output
03

Clinical Output Layer

Frames evidence-linked outputs and escalation guidance so the receiving nurse or clinician gets usable bedside context.

  • Evidence-linked bedside outputs
  • Role-aware escalation support
  • Recommended next-step framing
  • Explainable action at the endpoint

End-to-end signal flow from screen to alert.

How vital numerics move from bedside monitor displays to structured clinical action in real time.

1

Monitor display

ASTA starts with the bedside monitor already in use.

2

Structured extraction

Computer vision converts displayed numerics into structured, time-stamped vitals.

3

Physiological embedding

Vital windows are normalized into machine-readable physiological state embeddings.

4

Deterioration interpretation

Alerts trigger on vitals exceeding threshold and on camera obstruction detection. PPLM ranks deterioration context above the raw alert.

5

Clinical output

Vitals are captured continuously every 5 seconds, not static snapshots. Output reflects current patient trajectory, framed for the receiving clinical role.

Monitor-agnostic computer vision vital extraction.

Reads vital sign numerics directly from bedside displays across 15+ OEM monitor brands without digital interfaces.

15+
OEM brands
Device-agnostic monitor coverage
98%
CV accuracy
Data extraction accuracy
5s
Capture cadence
Continuous vital capture every 5 seconds
0
API dependency
No API required for monitor reading

Reads existing bedside monitors

ASTA works with the monitor already at the bed rather than requiring a new fleet or a vendor feed.

Real-time structured vital extraction

Displayed numerics become structured HR, BP, SpO2, and RR streams for downstream reasoning.

No monitor-side IT dependency

Monitor reading starts without hospital IT integration, proprietary APIs, or hardware taps.

Monitor-facing capture, not patient surveillance

The capture point is the monitor display. The workflow is built around numerical data extraction, not patient imagery.

01

Screen locate

Identify the bedside monitor region in the capture frame.

02

Layout classify

Recognize OEM-specific layouts and select the right reading template.

03

Value extract

Apply OCR and parsing to vitals and displayed numerics.

04

Signal normalize

Time-stamp and standardize values for downstream reasoning.

Vendor-agnostic data extraction makes ASTA additive to the infrastructure already in place.

Works with your current monitors and systems.

No hardware replacement. ASTA reads existing monitor displays via computer vision.

Philips IntelliVue
GE HealthCare Carescape
Mindray BeneVision
Dräger Infinity
Nihon Kohden Life Scope
Edan iM Series
Epic Systems
HL7 / FHIR R4
Oracle Cerner
HL7 v2.x
REST API
JSON / Webhooks
Standalone
Zero IT integration

Physiological reasoning beyond threshold alerts.

Evaluates vital sign trajectories over time to distinguish clinically meaningful deterioration from temporary spikes.

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.

Threshold-only alerts

Escalate after a single value crosses a line.

Static dashboards

Show status snapshots but do not reason over change over time.

Simple OCR systems

Extract numbers accurately but stop before clinical interpretation.

ASTA PPLM

Interprets trajectories, adds deterioration context, and produces evidence-linked output that is more useful than a simple alert.

This is where ASTA moves beyond raw data extraction into clinically useful reasoning.

Clinical validation and accuracy metrics.

Rigorously benchmarked in real hospital environments across edge scenarios, lighting variations, and monitor display types.

98%
CV accuracy
Data extraction accuracy
15+
OEM brands
Device-agnostic monitor support
100M+
Labeled frames
Training scale behind the CV layer
10+
Hospitals
Live deployment footprint
25
Devices live
Current field footprint
<2s
Monitor to action
Low-latency monitor-to-output pipeline
DimensionProof
Data extraction98% CV accuracy across 15+ OEM monitor brands
Training scale100M+ labeled monitor frames
Real-world operation10+ hospital deployments and 25 live devices

For platform evaluation, ASTA leads with extraction accuracy, device breadth, real hospital operation, and low-latency output.

The live ward view for nursing, clinical leadership, and operations.

One shared product surface for the whole unit: monitored beds, structured vitals, escalation queue, and audit trail in a single ward view.

ASTA Ward Control Surface v2.4: Live Unit Oversight
Beds monitored
24
Beds on watch
3
Escalations
1
Ward coverage
100%
BedHR (bpm)SpO₂ (%)BP (mmHg)Status
B-0176 bpm98%122/80ok
B-0291 bpm94%138/88warn
B-0368 bpm99%118/76ok
B-04108 bpm89%142/92alert
B-0572 bpm97%126/82ok
B-0683 bpm96%130/84ok
09:44:12 · B-04

SpO2 89% - 6 min downward trend - PPLM flags respiratory deterioration - escalate to nurse on duty

09:41:07 · B-02

HR 91 bpm - rising over 3 min - physiological watchlist only - no escalation yet

09:38:55 · B-07

BP 142/92 - above ward range - trend stable - continue observation

Rapid hospital deployment in 4 steps.

Designed to deploy on existing hospital equipment without complex hardware installation.

01

Bedside capture

Monitor-facing capture reads displayed numerics from the bedside monitor already in use.

02

Local extraction

Vital streams are extracted, normalized, and buffered for continuous downstream reasoning.

03

Controlled deployment posture

Hospitals can adopt on-prem, hybrid, or managed cloud deployment under their own governance model.

04

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.

Data extraction starts without hospital IT integration. Workflow and EMR connectivity can be added as later layers, not day-one prerequisites.