LlamaPack_RTLS_Optimus

Real-Time Location & Workflow Commander

Pack overview

Connects directly to your RTLS system to create a live digital twin of your hospital. Predicts bottlenecks, auto-dispatches staff, and optimizes patient flow in real time.

Reduce patient length-of-stay by 21%40% faster equipment turnaroundLive bottleneck prediction

Perspectives for LlamaPack_RTLS_Optimus

Operations perspective

Operations Perspective

(For COO, Nursing Directors, ED Managers, and Operations Leaders)

LlamaPack_RTLS_Optimus turns your existing RTLS system (CenTrak, Sonitor, Zebra, etc.) into a live digital twin of your hospital and acts as an autonomous workflow commander that eliminates bottlenecks in real time.

Here’s exactly how it works in daily operations:

  • Live Digital Twin: Ingests real-time location data from staff badges, patient tags, and asset tags to show exact location and status of every person and piece of equipment.
  • Bottleneck Prediction & Auto-Dispatch: Predicts delays (e.g., “Room 12 will be ready in 9 minutes”) and automatically reassigns the nearest available staff or equipment.
  • Patient Flow Orchestration: Triggers automated handoff notes, fall-risk alerts, and rounding reminders based on actual movement patterns.
  • Compliance & Safety: Monitors wandering patients, prolonged wait times, infection-control zones, and equipment left in wrong areas.

Business outcomes you will see within 30–60 days:

  • Average patient length-of-stay reduced by 21%
  • Equipment turnaround time improved by 40%
  • Staff walking distance reduced by 25–35%
  • Significant improvement in throughput and ED/hospital boarding metrics

Your clinical and operations teams still use their normal Epic and RTLS dashboards — they simply get intelligent, proactive recommendations and far fewer manual coordination calls.

Technical perspective

Technical Perspective

(For IT, Integration, Clinical Engineering, and Implementation Teams)

LlamaPack_RTLS_Optimus connects directly to your RTLS platform and Epic via standard APIs and HL7.

Core Integration Architecture:

  • RTLS Ingestion: Real-time WebSocket or MQTT feed from CenTrak/Sonitor/Zebra (or any major RTLS vendor).
  • Epic Integration: FHIR Subscription + HL7 ADT/ORM messages for patient/staff context.
  • Action & Write-Back: Writes location-triggered notes, alerts, and task assignments back into Epic via FHIR Communication, Task, or Observation resources.
  • Orchestration: Always-on agent swarm with live digital-twin engine and predictive ML models.

Deployment & Go-Live:

  • Typical timeline: 4–6 weeks (includes RTLS vendor coordination).
  • Full audit logging in both RTLS and Epic systems.
  • Works with any modern RTLS system and Epic Hyperspace.

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