RTLS & Digital Twins for
Healthcare Staff & Patient Safety

Every Second Counts, Measure What Matters

Response time analysis provides detailed measurement of every phase of emergency response, from button press to alert transmission, acknowledgment, dispatch, travel time, and on-scene arrival. This level of detail reveals bottlenecks that aggregate metrics miss, enabling targeted improvements that reduce response times by 35-45%.

Analytics Capabilities:

• Phase-by-Phase Breakdown: Measure alert transmission (target: <2 seconds), acknowledgment (target: <10 seconds), dispatch (target: <20 seconds), and arrival (target: <90 seconds) separately to identify specific delays
• Responder Performance Tracking: Individual and team response metrics showing fastest responders, average performance, and outliers requiring additional training or support
• Location-Based Analysis: Response time heatmaps showing which areas of your facility have longest response times, informing security positioning decisions
• Time-of-Day Patterns: Identify shifts or times when response is slower due to staffing levels, enabling targeted resource allocation

Continuous Improvement:

A 750-bed hospital used response time analytics to reduce average duress response from 3.8 minutes to 1.4 minutes over 6 months. The data revealed that 40% of delays occurred during shift changes when security was distracted. By implementing dedicated response coverage during shift changes and optimizing security positioning based on heatmap data, they achieved sustained sub-90-second response times.

Discover Hidden Patterns to Prevent Future Incidents

Incident pattern analysis examines thousands of safety events to discover correlations invisible to manual review. By analyzing incident location, time, day of week, staffing levels, patient census, and environmental factors, the AI identifies patterns that enable proactive prevention rather than reactive response.

Analysis Capabilities:

• Location Hotspot Identification: 3D heatmaps showing exactly where incidents occur most frequently, revealing high-risk areas requiring enhanced security presence or environmental modifications
• Temporal Pattern Recognition: Identify time, day, and seasonal trends, such as 68% of ED incidents occurring between 8 PM and 2 AM on weekends
• Staffing Correlation Analysis: Identify relationships between nurse-to-patient ratios, security staffing levels, and incident frequency to optimize resource allocation
• Environmental Factor Integration: Correlate incidents with patient census, ED wait times, weather conditions, and local events to predict high-risk periods 24-48 hours in advance

Actionable Insights:

A hospital's pattern analysis revealed that 73% of behavioral health incidents occurred when staff spent more than 15 minutes alone with agitated patients in assessment rooms. The hospital implemented a two-person protocol for high-risk assessments, reducing incidents by 43% in the first year. Another facility discovered that incidents spiked during shift changes when security was distracted, so they added dedicated response coverage during these windows and saw a 38% reduction.

Effortless Regulatory Compliance & Legal Protection

Digital Twin technology automatically captures and documents every safety incident with tamper-proof timestamps, location data, and response actions. Generate comprehensive compliance reports for Joint Commission surveys, OSHA investigations, and legal proceedings with a single click, without manual data collection or report writing.

Documentation Features:

• Incident Timeline Reconstruction: Complete second-by-second playback of any incident showing staff locations, alert triggers, response actions, and resolution with tamper-proof audit trails
• Joint Commission Reports: Pre-formatted reports demonstrating compliance with EC.02.01.01 (security management), EM.02.02.01 (emergency management), and NPSG standards
• OSHA Recordkeeping: Automatic logging of workplace violence incidents meeting OSHA recordkeeping requirements with injury classification and lost-time tracking
• Legal Evidence Package: Comprehensive incident documentation including location data, response times, video footage integration, and witness statements for litigation defense

Legal Protection:

Multiple hospitals have successfully used LocaXion data to defend against workplace violence litigation, demonstrating reasonable care and proper emergency response. The objective, timestamped evidence shows exactly when alerts were triggered, how quickly security responded, and what actions were taken, eliminating "he said, she said" disputes. Insurance carriers report 15-20% premium reductions for hospitals with comprehensive safety documentation systems.

Prevent Incidents Before They Happen

The AI engine continuously analyzes real-time staff location data, historical incident patterns, and environmental factors to predict and prevent workplace violence before it escalates. The system learns from every incident to improve accuracy over time, currently achieving 87% accuracy in predicting high-risk situations 5-10 minutes before they occur, providing critical time for proactive intervention.

Predictive Capabilities:

• Lone Worker Risk Detection: Automatic alerts when staff work alone in high-risk areas (behavioral health, ED, parking) during vulnerable times (night shifts, weekends) with insufficient nearby support
• Abnormal Pattern Recognition: Identifies unusual staff movement patterns (prolonged time in one location, erratic movements, unexpected zone entries) that may indicate distress or developing situations
• Environmental Risk Correlation: Connects factors like ED wait times, patient census, staffing ratios, and historical incident data to predict high-risk periods 24-48 hours in advance
• Proactive Security Deployment: Recommends optimal security positioning based on predicted risk levels across different facility zones, enabling prevention rather than reaction

Real-World Prevention:

A 600-bed hospital implemented LocaXion's predictive risk detection and reduced workplace violence incidents by 43% in the first year. The AI identified that 68% of ED incidents occurred when nurses spent more than 15 minutes alone with agitated patients in triage rooms. The hospital adjusted protocols to ensure two-person teams during high-risk assessments, preventing an estimated 35-40 incidents annually.

Optimize Staffing for Safety and Efficiency

The predictive staffing solution combines RTLS location data with AI-powered workforce analytics to forecast optimal staffing levels that balance patient safety, staff security, and operational costs. The system analyzes historical patterns in patient volume, acuity levels, incident frequency, and staff movement to recommend precise staffing adjustments 24-72 hours in advance.

Analytics Capabilities:

• Nurse-to-Patient Ratio Optimization: Predicts optimal ratios by unit and shift based on patient acuity, historical safety incidents, and staff workload patterns—maintaining ratios proven to reduce adverse events by 20-30%
• Security Coverage Forecasting: Recommends security staffing levels and positioning based on predicted incident risk, facility occupancy, and historical violence patterns
• Workload Distribution Analysis: Identifies staff members with excessive workloads or unsafe patient assignments that increase burnout and safety risks
• Retention Risk Prediction: Flags staff at high risk of turnover based on workload patterns, incident exposure, and schedule stress—enabling proactive retention interventions

Cost Optimization:

A 400-bed hospital using LocaXion's predictive staffing reduced overtime costs by $1.2M annually while improving staff safety scores by 35%. The system identified that Tuesday and Wednesday nights consistently required 15% less security coverage than weekends, allowing reallocation of resources to higher-risk periods without increasing total staffing costs.

Generate audit-ready documentation automatically—no manual entry.

LocaXion’s Automated Compliance Reporting engine continuously aggregates RTLS and sensor data to create fully compliant, audit-ready records without human input. Every event—temperature, humidity, movement, and calibration—is securely logged and automatically formatted to meet global regulatory standards.

What We Capture

• Continuous RTLS + sensor event streams with electronic signatures.
• Temperature, humidity, and location data mapped to each SKU.
• Calibration and verification logs for NIST traceability.

What It Enables

• Automatic generation of daily temperature logs, excursion summaries, and chain-of-custody reports.
• Instant recall response by querying batch or product ID.
• Executive dashboards displaying compliance KPIs and incident trends.

Operational Outcomes

• 90% reduction in manual reporting workload.
• Full alignment with FDA 21 CFR Part 11, FSMA, EU GDP, and ISO 9001.
• Consistent audit readiness and faster customer QA approval.

Every Second Counts in Emergencies

The route optimization solution calculates the fastest path for security responders to reach duress alerts, considering real-world facility constraints that traditional systems ignore. It analyzes facility layout, access control restrictions, elevator availability, stairwell locations, and responder positions to provide navigation that reduces response times by an average of 35-45%.

Optimization Features:

• Dynamic Route Calculation: Real-time routing that adapts to locked doors, elevator wait times, crowded hallways, and facility obstacles, not just straight-line distance
• Multi-Responder Coordination: Automatically dispatches multiple security personnel from different locations to surround incident area and provide backup
• Access Control Integration: Automatically unlocks necessary doors along response route while maintaining security in other areas

Real-World Impact:

A 750-bed hospital reduced average duress response time from 3.8 minutes to 1.4 minutes after implementing LocaXion's route optimization, a 63 percent improvement. The system identified that responders were consistently taking suboptimal routes through locked doors and crowded public areas. Optimized routing through staff-only corridors and pre-unlocked access points cut response times by more than half.

Maximize Security Effectiveness

The resource allocation solution uses AI to determine optimal security officer positioning, patrol routes, and shift coverage that maximizes incident prevention while minimizing staffing costs. The system analyzes historical incident patterns, current facility occupancy, staff locations, and real-time risk factors to recommend dynamic security deployment strategies.

Allocation Capabilities:

• Dynamic Positioning Recommendations: Real-time suggestions for security officer placement based on current risk levels, staff distribution, and incident probability across facility zones
• Intelligent Patrol Routing: AI-generated patrol routes that maximize coverage of high-risk areas while maintaining visibility in lower-risk zones
• Shift Coverage Optimization: Recommendations for security staffing levels by shift and day-of-week based on historical incident patterns and predicted risk

Proven Results:

A hospital system with five facilities used LocaXion's allocation optimization to reduce security staffing costs by 18% while improving incident response coverage by 32%. The AI identified that static security posts were ineffective, and mobile patrols following optimized routes provided better coverage with fewer officers.

Prepare for Emergencies Before They Happen

The simulation engine allows security teams to model various emergency scenarios, including active shooter, patient elopement, workplace violence, and fire evacuation, and test response protocols in a risk-free virtual environment. Identify bottlenecks, optimize response routes, and train staff on proper procedures using real facility data.

Simulation Capabilities:

• Scenario Modeling: Create custom emergency scenarios with multiple variables (time of day, staffing levels, incident location, number of responders)
• Response Time Analysis: Calculate optimal response routes considering facility layout, locked doors, elevator wait times, and staff locations
• Coverage Gap Identification: Discover areas with inadequate security coverage or excessive response times requiring additional resources

Proven Results:

A behavioral health facility used simulation to redesign their security response protocol, reducing average incident escalation time by 62%. By modeling different responder deployment strategies, they discovered that positioning one security officer on each floor (rather than centralized) cut response times in half while requiring the same total staffing.