Real-Time Location Tracking
Know exactly where every patient is at all times. Instantly locate patients for procedures, family visits, or emergencies with sub-meter accuracy.
Transform patient throughput with real-time visibility, predictive analytics, and AI-powered flow optimization that reduces wait times by 40% and improves bed utilization by 30%.
Tap to explore the critical gaps in traditional patient flow management approaches
Traditional approaches focus on reducing staff search time for patients. "Nurses spend 20 minutes per shift looking for patients, RTLS reduces this to 5 minutes." But this narrow ROI model ignores the real value of optimizing throughput, reducing boarding, and improving patient satisfaction scores that directly impact reimbursement.
Our customers achieve average ROI of 6 to 12 months, with 70% of value coming from throughput improvement and patient experience enhancement, not just time savings. We help you measure and optimize all four dimensions of patient flow, transforming your operations from reactive to predictive.
Mature patient flow management system measure ROI across four dimensions:
Reduce ED boarding by 25%: eEach hour of boarding costs $200-400 in lost revenue; increase surgical throughput: 1 additional case per OR per week = $1-2M annually; faster discharge processing: 30-minute reduction = 5-8% capacity increase.
Improved HCAHPS scores: 1-point increase in communication = 0.5-1% reimbursement boost; reduced patient complaints: 40% decrease in wait time complaints; lower left-without-being-seen (LWBS) rates: each prevented LWBS = $500-1,500 revenue retained.
Optimized bed utilization: 30% improvement in bed turnover times; reduced transport delays: automated dispatch cuts wait times by 50%; improved staff productivity: eliminate 30-45 minutes of coordination time per shift.
Predictive capacity planning for seasonal surges; digital twin simulation for facility expansion; AI-powered bottleneck detection and resolution; data-driven staffing optimization.
Real-time patient location intelligence across your entire facility. Track every patient's journey from arrival to discharge with room-level accuracy.
Know exactly where every patient is at all times. Instantly locate patients for procedures, family visits, or emergencies with sub-meter accuracy.
Automatically calculate and display accurate wait times for each stage of the patient's journey. Set alerts for excessive waits.
Comprehensive visualization of patient locations, wait times, and department status. Customizable views for different roles.
Monitor bed availability, room utilization, and department capacity in real-time. Optimize bed assignments and transfers.
Track & Find gives you visibility. But knowing where patients are is just the beginning. The real value comes from measuring and optimizing your workflows to reduce bottlenecks, predict capacity needs, and improve throughput across your entire facility.
80% of hospitals with RTLS report "we can track patients, but we can't optimize throughput." The culprit? Data quality is insufficient for operational analytics and predictive modeling.
1. Temporal Precision – Temporal Precision means timestamps accurate to ±30 seconds (not ±5 minutes) are essential for measuring true wait times and identifying bottlenecks. Inaccurate timestamps make it impossible to distinguish between a 5-minute delay and a 15-minute delay, which is critical for patient satisfaction in any hospital tracking system.
2. Spatial Certainty – Room-level accuracy at 95%+ confidence (not probabilistic guesses) ensures you know which department a patient is in, not just "somewhere on the 3rd floor." This is critical for coordinating transfers and procedures.
3. Event Completeness – Capturing 100% of patient movements (not 70-80% due to dead zones) is essential for accurate journey mapping. Missing transitions create gaps in your data that make root cause analysis impossible.
Traditional loggers miss rapid excursions and lack location context, delaying root-cause analysis by hours.
Multipath interference from medical equipment, concrete walls, and people causes 2 to 3 meters of accuracy variance. Update delays of 30 to 60 seconds miss critical transitions like patient handoffs. Zone confusion also occurs when a tag reads 3 meters from a boundary, making it unclear whether the patient is in the exam room or the hallway. This uncertainty leads to inaccurate analytics and unreliable data.
Poor location data → unreliable event logs → inaccurate process models → wrong optimization decisions → no ROI. You can't optimize what you can't accurately measure.
Our hybrid RTLS architectures deliver sub-1 second update latency for workflow-critical transitions, room-level accuracy with 95%+ confidence for patient flow management, and 99.7% event capture rate with no dead zones or missed transitions. This data quality enables true operational digital twins, not just animated floor plans, but predictive models that simulate "what if" scenarios with 85%+ accuracy.
Reduction in wait times
Increase in throughput
Better bed utilization
Digital Twin technology turns RTLS from a basic tracking tool into a powerful operational intelligence solution. Measure, predict, and simulate patient flow with AI-driven analytics.
Flow Analytics
Analyze patient journey times, identify bottlenecks, and measure the impact of process improvements across your facility.
Flow Analytics
Optimize bed turnover times, predict discharge timing, and improve bed assignment efficiency to reduce boarding and increase capacity.
Flow Analytics
Visualize actual vs. planned workflows, identify inefficiencies, and measure the impact of workflow changes on patient flow and staff productivity.
Predictive Intelligence
Predict ED volumes, admission rates, and discharge patterns using historical data and machine learning to proactively adjust resources.
Predictive Intelligence
Identify potential bottlenecks before they occur and receive proactive alerts to take action before patient flow is impacted.
Predictive Intelligence
Forecast resource demand by department, time of day, and season to optimize staffing, equipment, and bed allocation.
Simulation & Planning
Test operational changes in a virtual environment before implementation to predict impact on patient flow and throughput.
Simulation & Planning
Simulate different capacity scenarios to optimize bed allocation, staffing levels, and resource distribution for maximum throughput.
Simulation & Planning
Model workflow changes and layout modifications to identify the most effective improvements before investing time and resources.
Measure, predict, and optimize patient flow today. But what about tomorrow? Our cross-industry RTLS + Digital Twin experience creates exponential value through seamless integration with your existing healthcare systems.
Our cross-industry RTLS + Digital Twin experience enables seamless integration with your existing healthcare IT ecosystem for unified patient flow management.
Bi-directional integration with Epic, Cerner, and other EHR systems for automated patient status updates and ADT feeds.
Integration with nurse call platforms to correlate patient requests with location data and optimize response times.
Real-time bed availability and patient readiness data to optimize bed assignments and reduce boarding times.
Provide patients and families with real-time wait time estimates and status updates through your patient portal.
Display real-time wait times, department status, and patient flow metrics on digital signage throughout your facility.
Integrate with security systems to correlate patient location with access events and enhance facility security.
Discover how LocaXion’s RTLS and Digital Twin solutions enhance patient throughput, bed utilization, and care coordination while reducing wait times by up to 40% through real-time visibility and predictive analytics.
Explore Related Healthcare Solutions
Everything you need to know about Hospital Patient Flow Management
A patient flow management system helps hospitals organize how patients move through different stages of care from admission to discharge. It improves visibility, reduces bottlenecks, and helps staff coordinate more effectively for a better overall patient experience.
A patient flow manager uses patient flow management solutions to oversee hospital operations, manage admissions and discharges, and ensure smooth movement of patients between departments. Their goal is to maintain balanced workloads and reduce waiting times.
Visitor flow management focuses on controlling and monitoring visitor movement within hospital premises. It ensures safety, prevents overcrowding, and creates a comfortable environment for patients, visitors, and healthcare workers.
Visitor management systems support hospitals in managing visitor flow efficiently. They provide digital registration, ID verification, and real time tracking features that help maintain security and compliance while improving visitor experience.
The best visitor management software integrates with hospital systems to allow quick check ins, real time tracking, and data accuracy. It helps staff manage visitors securely and reduces administrative workload at entry points.
Digital Twin technology creates a virtual model of hospital operations, allowing teams to test workflow changes, bed allocation, or staffing adjustments before applying them in real life. It strengthens hospital patient flow management by predicting the impact of each change and helping hospitals plan more efficiently.
Patient flow management solutions combine RTLS and Digital Twin technologies to create a connected, real- time view of hospital operations. They help predict capacity needs, optimize patient movement, and reduce waiting times. LocaXion helps hospitals implement these solutions to achieve measurable improvements in throughput, bed utilization, and patient experience.
Predictive analytics uses real- time hospital data to forecast patient volumes, bed demand, and potential bottlenecks. It enables proactive decisions in patient flow management solutions, helping hospitals maintain smooth operations and reduce wait times even during high patient loads.