01

Healthcare

Healthcare is SVARA's industry vertical for hospital operations and clinical workflows — where the Intelligence Loop optimizes patient throughput, asset utilization, and clinical operations through real-time sensing and prediction.

02

Architecture

SVARA deploys across the hospital environment: Observe connects to cameras, RTLS tags, and biomedical device feeds, Understand interprets patient flow and asset status, Predict forecasts admissions and equipment demand, Coordinate routes staff and equipment, and Improve continuously improves care delivery operations.

Patient Flow Observe

Real-time tracking of admissions, discharges, transfers, and wait times against department capacity.

Clinical Asset Understand

AI models that locate and classify infusion pumps, ventilators, and mobile equipment across the facility.

Demand Predict

Forecasting of admissions, ED surges, and equipment demand by department and shift.

Operations Coordinate

Automated bed turnover dispatch, equipment redirection, and staff load balancing across units.

Data Flow: Real-time location, sensor, and EHR event data flows into the Intelligence Loop. Flow insights trigger bed and asset actions, demand forecasts inform staffing, and outcomes refine the models.

03

Use Cases

Patient Throughput Optimization

AI-driven bed management and discharge planning that reduces length-of-stay variation and ED boarding times by predicting discharge readiness and routing patients accordingly.

Healthcare

Clinical Asset Utilization

Real-time location and utilization tracking of mobile medical equipment, reducing hoarding and search time while optimizing par levels for infusion pumps and telemetry units.

Healthcare

ED Surge Response

Predictive admission and acuity modeling that pre-positions staff, beds, and equipment ahead of emergency department surge events.

Healthcare
04

Deployment

Healthcare deployment begins with a single high-impact unit (typically ED or surgical services), then expands facility-wide. Edge gateways sit in each department, with a central command center for hospital-wide operational visibility.

  1. 01Select pilot unit for initial deployment
  2. 02Deploy edge gateways and connect RTLS, cameras, and biomedical feeds
  3. 03Configure patient flow and asset tracking models
  4. 04Integrate with EHR and nurse-call systems
  5. 05Validate against baseline throughput and utilization KPIs
  6. 06Scale across remaining departments and affiliate sites
05

Industries

Healthcare

Hospital and clinical operations transformed by the Intelligence Loop.

Explore Healthcare

Smart Cities

Public health and emergency response intelligence.

Explore Smart Cities

Government

Citizen-facing services and facility operations.

Explore Government
06

Frequently Asked Questions

Does SVARA access protected health information?

No. SVARA operates on operational signals — asset location, capacity, and flow events — not clinical records. Where PHI is necessary, it is handled through de-identified ingestion layered on top of the EHR.

How does SVARA integrate with our EHR and RTLS vendors?

SVARA connects to Epic, Cerner, and major RTLS platforms via HL7/FHIR and vendor APIs, adding operational intelligence without replacing existing clinical systems.

What ROI do health systems typically see?

Health systems typically see 15-30% improvement in bed turnover, 20-40% reduction in mobile asset search time, and 10-20% reduction in length-of-stay variation within the first year.

07

Comparisons

Traditional Hospital RTLS

Location systems that report asset position but do not act on it.

SVARA closes the loop — it locates assets, predicts demand, and dispatches them, then learns from each cycle.

Bed Management Software

Manual bed-tracking tools with static rules and reporting.

SVARA predicts discharges and admissions rather than just recording them, enabling proactive staffing and equipment positioning.

08

Return on Investment

Healthcare deployments typically deliver 15-30% improvement in bed turnover, 20-40% reduction in mobile asset search time, and 10-20% reduction in length-of-stay variation within the first year.

15-30%Bed Turnover Improvement
20-40%Asset Search Time Reduction
10-20%Length-of-Stay Variation Reduction
15-25%ED Boarding Time Reduction
09

Resources

  • Intelligent Hospital Operations and Patient Flowresearch
  • Real-Time Location Systems in Clinical Environmentsresearch
  • HL7 FHIR Interoperability Standardstandard
  • IEC 80001 Risk Management for IT-Networked Medical Devicesstandard

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