Hard-to-locate equipment
Time is lost searching instead of delivering care.
AI-Powered Hospital Intelligence
EOMA Healthcare
Real-Time Intelligence for Safer, Faster, and More Efficient Hospital Operations
EOMA Healthcare transforms hospital movement into real-time operational intelligence — connecting location data, AI analytics, alerts, dashboards, and hospital system integration to help clinical and operational teams make faster, better-informed decisions.
Privacy-first intelligence. Not surveillance.
The Challenge
Hospitals operate with invisible inefficiencies every day
Hospitals lose efficiency when movement, assets, patients, and workflows are not visible in real time.
Manual ED flow updates
Patient status often depends on delayed or fragmented inputs.
Late bottleneck detection
Congestion is often discovered after it affects throughput.
Delayed movement awareness
Risk events may be noticed only after movement occurs.
These gaps quietly increase cost, delay response, and reduce operational control — but with real-time intelligence, they become visible, measurable, and actionable.
The Technology
A scalable intelligence layer for the physical hospital
EOMA captures live movement across equipment, staff, and patients, transforming location data into decisions, alerts, and measurable performance improvement.
Passive RF/BLE Tags
Continuous, discreet tracking with zero manual scanning required.
Monitoring Nodes & Gateways
Smart antennas provide 24/7 automatic facility-wide visibility.
Local Edge Processing
Data is processed close to the source for speed, security, and reliability.
EOMA AI Platform
Analyzes patterns, predicts bottlenecks, and identifies anomalies.
Dashboards, Alerts & Reports
Natural language insights and automated alerts help teams act on what matters.
Each layer is designed to operate with minimal disruption to clinical workflows, converting passive movement data into secure, real-time operational intelligence.
Use Cases
Three core scenarios. One intelligent platform.
Use Case A · Asset Intelligence
Know where every critical asset is — instantly
Real-time inventory with boundary alerts and utilization intelligence
EOMA tracks high-value mobile assets across departments, detects location transitions, and alerts teams when equipment leaves assigned zones.
Key Outputs
- Live asset dashboard
- Department-level alerts
- Utilization and idle-time reports
- Out-of-zone breach history
- AI-based relocation and shortage recommendations
Business Value
- Reduce equipment search time
- Reduce loss exposure
- Optimize capital purchasing
- Improve preventive maintenance compliance
- Reduce rental spend
Potential savings based on prior deployment models. Results may vary depending on hospital size, asset types, and deployment configuration.
Asset Intelligence — Live ViewActive
Use Case B · Patient Intelligence
Protect high-risk patients through real-time movement awareness
Room-level and corridor-level detection with immediate staff alerts
EOMA monitors patient movement within rooms, corridors, and common areas, notifying nearby staff when a patient leaves a defined safe zone or shows repeated unsupervised movement.
Key Outputs
- Bed-exit or room-exit alerts
- Nearest-staff notification
- Response-time records
- Patient movement history
- AI risk profiling by ward or patient group
Business Value
- Support fall-risk reduction
- Support HAC Reduction Program readiness
- Lower supervision burden amid nursing shortages
- Strengthen legal defensibility with timestamped sensor data
EOMA is designed to support patient safety protocols. It does not directly prevent falls or guarantee clinical outcomes. Results depend on deployment configuration and staff response protocols.
Patient Safety MonitorMonitoring
PT-0041Room 204
Safe ZonePT-0087Corridor B
AlertPT-0023Room 210
Safe ZonePT-0112Near Exit
Review
Use Case C · Emergency Department Intelligence
Real-time visibility across the patient journey
From arrival and triage to imaging, consultation, discharge, or admission
Arrival
→
Triage
→
Waiting
→
Consultation
→
Imaging
→
Discharge / Admission
EOMA connects patient wristbands, ED zones, waiting areas, clinical orders, and HIS data to create a live, sensor-verified view of each patient's journey.
What EOMA Connects
- Patient wristbands and encounter-linked IDs
- ED zones, waiting areas, consultation, discharge, and admission points
- Clinical orders, timing events, and journey milestones
- HIS / HL7-fed operational context, depending on deployment
- Movement history, dwell time, and zone transitions
What Teams Can See
- Patient detail view with live location, order status, and journey timeline
- Waiting room display with transparent queue updates
- Staff global dashboard with ED-wide operational visibility
- Queue position, estimated wait time, and threshold monitoring
- Sensor-verified confirmation of movement and care-path progression
What the Intelligence Enables
- Faster identification of bottlenecks and delayed patient progression
- Early visibility into patients at risk of excessive wait times
- Validation of patient flow against expected protocols and timing targets
- Better coordination across ED sectors and departments
- Audit-ready operational evidence for reporting, review, and quality improvement
Key Outputs
Patient Mobile ViewWaiting Room DisplayStaff Global DashboardPatient Detail ViewQueue & ETA Engine
EOMA turns the ED journey into a real-time, sensor-verified decision layer for safer and more efficient patient flow.
Platform Demo
EOMA in Action
Three operational scenarios. One intelligent platform.
This demonstration illustrates how EOMA supports asset tracking, patient safety, and emergency department flow through real-time data, automated alerts, system integration, analytics, and AI-assisted decision-making.
The Platform
Inside the EOMA Healthcare Platform
Real-Time Operational View
The platform opens with a real-time view of the hospital environment. EOMA summarizes key operational activity: tracked people and assets, movement status, alerts, floor distribution, and priority entities that require attention.
- Live list of tracked entities with identifiers, type, movement status, location, and timestamps
- Filters by department, category, asset type, status, and time window
- Hospital map view with real-time spatial visualization
Patient Journey & ED Flow
For the Emergency Department, real-time visibility becomes especially valuable. A patient identified with a wristband linked to their hospital encounter can be tracked across arrival, triage, waiting areas, consultation, imaging, and discharge or admission.
- Sensor-verified view of patient zone entries, dwell times, and transitions
- Patient-facing mobile view with queue position, ETA, and journey steps
- Waiting room display and staff dashboard updated in real time
Entities, Zones & Location History
Inside EOMA, every tracked item is managed as an entity — representing a patient wristband, a medical asset, a staff-related object, or any element the hospital needs to monitor.
- Current position, movement history, heat map, and activity status
- Time in current location, visited zones, and behavioral metrics
- Operational history enabling asset pattern and patient journey analysis
Protocols, Metadata & Integration
EOMA is designed to adapt to the hospital's own operational structure. Through metadata, hospitals can add custom fields to tracked entities. EOMA can also incorporate hospital protocols defining how a process is expected to work.
- Custom metadata fields usable in filters, reports, analytics, and AI queries
- Protocol definitions for patient movement rules, room-stay policies, and ED timing thresholds
- HL7 integration layer support, depending on deployment and configuration
Analytics & AI Assistant
The analytics layer gives hospital teams a broader view of performance. EOMA can show movement activity, visited zones, active readers, tracked entities, system behavior, and customized operational reports.
- Customized operational reports adapted to hospital and department needs
- Natural language AI queries answered based on captured operational data
- Pattern recognition, bottleneck prediction, and anomaly detection
AI Intelligence
From real-time visibility to predictive hospital intelligence
EOMA does more than show where things are. It learns how the hospital behaves.
Pattern Discovery
Reveals recurring movement trends and hidden operational behaviors across the hospital.
Bottleneck Prediction
Anticipates congestion points before they impact patient flow, staff response, or asset availability.
Asset Shortage Forecasting
Identifies when and where critical equipment may become unavailable based on demand patterns.
Response-Time Analysis
Measures how quickly teams react to events and highlights opportunities for faster intervention.
Anomaly Detection
Flags unusual movement patterns, exceptions, and deviations that may signal risk or inefficiency.
Natural Language Queries
Turns plain-language questions into immediate operational answers based on real hospital data.
Ask EOMA — AI-Assisted Operational Queries
Which patients are at risk of exceeding their target wait time in the next 30 minutes?
→ 3 patients in Waiting Area B approaching 90-min threshold. Zone C shows 2 unassigned encounters.
How many wheelchairs were in the ED yesterday between 8:00 AM and 12:00 PM?
→ 7 wheelchairs were tracked in ED zones during that window. Average dwell time: 42 minutes.
Which assets are repeatedly moved to the wrong department?
→ 4 infusion pumps from ICU detected in Ward A on 6 occasions in the past 7 days.
Responses are illustrative examples. Actual outputs depend on captured data, metadata configuration, and deployment setup.
Future Expansion Example
Future Expansion: Predictive Micro-Pattern Analysis
One example of how EOMA can evolve as each hospital's operational needs grow
EOMA is designed as a living intelligence platform. As each hospital's priorities evolve, the system can be expanded with new workflows, analytics, alerts, reports, integrations, and AI capabilities tailored to that environment. Predictive micro-pattern analysis is one example of this possible evolution.
Predict Workload Peaks
Anticipate staffing and resource demands before they materialize.
Detect Inefficient Pathways
Identify movement patterns that waste time or create unnecessary distance.
Identify Recurring Friction
Surface repeating operational bottlenecks and coordination gaps.
Recommend Process Improvements
Automatically suggest workflow optimizations based on accumulated intelligence.
Improve Safety & Experience
Drive continuous improvements in patient safety, experience, and resource allocation.
These capabilities are examples — not limits. EOMA can be expanded and adapted around the operational priorities, workflows, and future requirements of each hospital.
The hospital becomes not only visible, but anticipatory.
Privacy & Compliance
Privacy-first intelligence for healthcare environments
EOMA is designed to deliver operational visibility without compromising privacy.
Privacy-First Data
Ethical data standards with no personal identifiers required for core tracking and movement analytics.
On-Premises Options
Secure local infrastructure capabilities to keep sensitive operational data within hospital walls.
HIS / HL7 Integration
Designed to communicate with existing clinical systems through standardized integration protocols such as HL7, depending on deployment.
Sensor-Verified Audits
Independent, automated, timestamped movement records for investigations and validation.
Role-Based Dashboards
Access controls help ensure staff see only data relevant to their clinical or operational duties.
Compliance Reporting
Automated documentation to support Joint Commission, CMS, and other regulatory review processes.
EOMA gives hospital leaders the visibility they need while preserving the privacy standards healthcare environments require.
Measurable Impact
Measurable impact across safety, efficiency, and cost control
EOMA connects real-time visibility, automated alerts, and AI-driven insights to help hospitals improve performance across critical operational areas.
Operational Efficiency
Less time searching, fewer manual checks, faster coordination.
Patient Safety
Real-time movement alerts, documented response history, risk-based staff awareness.
ED Throughput
Live queue visibility, ETA recalculation, bottleneck detection.
Financial Control
Lower equipment loss and rentals, better utilization and procurement.
Executive Visibility
KPI dashboards, AI-generated reports, data-backed capacity planning.
Compliance Support
Sensor-verified documentation, audit-ready movement history, stronger reporting confidence.
Proven Results
Proven Results: Dr. Negrín Hospital, Spain
Large-scale deployment bridging the physical and digital hospital environment.
0Total Beds
0Emergency Patients / Day
0Assets Tracked
0Monitoring Points
Deployment Highlights
On-premises infrastructure deployment
HL7 full system integration
Department-level asset assignment
Triage tagging workflow implemented
A proven deployment model for real-time hospital visibility, system integration, and privacy-first operational intelligence.
Our Team
The Team Behind EOMA
Oscar Fernández Martín
Business Development ExecutiveOscar is a seasoned Business Development Executive with a strong international background in marketing, sales, and strategic partnerships. With over a decade of experience across Europe and Latin America, he has worked with leading global brands to drive growth and innovation. Oscar is known for his results-driven mindset, adaptability, and ability to navigate complex markets. Passionate about connecting people and ideas, he now focuses on helping companies expand their reach through smart, scalable solutions.
Curtis James
Healthcare Strategic AdvisorCurtis is a highly experienced healthcare executive and former President & CEO of St. Vincent’s Health System in Birmingham, AL. During his 32-year career, he served 22 years as CFO and 10 years as CEO, leading significant hospital expansion, operational growth, and major capital investment initiatives.
Curtis is a CPA, holds an MBA from Samford University, and is a Fellow of the American College of Healthcare Executives (FACHE). He brings EOMA extensive experience in hospital leadership, healthcare strategy, finance, operations, and health system development.
Ismael Fernández, PhD
Aerospace Engineer & EconomistIsmael Fernández has extensive experience in international business, economic analysis, and U.S. immigration-related business requirements, including the EB-5 program. Originally from Spain, he moved to the United States in 1996 to study Aerospace Engineering at Embry-Riddle Aeronautical University. He later earned an MBA in Finance and a PhD focused on economic risk and emerging aircraft technologies. Before founding his consulting practice in 2010, Ismael spent more than five years at General Electric in portfolio risk management and demand forecasting.
Contact Us
Let's Talk About Your Environment
Discover how EOMA Healthcare can help your hospital move from delayed awareness to real-time operational control.