CAPA 2: MONITOREO

Command Center

Executive dashboard with global operational visibility and real-time KPIs

AI-POWERED INSIGHTS

These dashboards are ideal for community hospitals of 50-150 beds that need real-time operational visibility.

Dashboards for Healthcare Organizations

The current problem

Lack of global visibility of the hospital. Medical management has to make 5-10 calls to know how many beds remain available or what patients have been admitted for more than 10 days. SAP reports are generated automatically (PDFs, Excel), are archived and nobody reviews them again. Decisions are made practically blind because the information exists but is buried.

The solution with Command Center

Complete visibility almost in real time (update every 15 minutes or every 24 hours depending on configuration). All critical data on a single screen: occupancy, emergency status, predicted discharges, patients with prolonged stays. Access from any device, without needing to make calls or search through files.

Who is it designed for?

Operational management who needs global vision of critical flows. Management who needs operational indicators for decision-making. Applicable to hospitals (patient flow), laboratories (sample flow), CROs (study flow). Supervisors who plan based on real data, not on intuition.

Capabilities of the Command Center

Based on the real dashboard used by our hospital clients

Total control of hospital occupancy

Optimize bed management reducing waiting times by 35% and improving patient throughput. Visualize congestion points in real time before they impact quality of care. Similar hospitals have increased their effective capacity by 15% without adding beds.

En vivo
16
Ingresos hoy
En vivo
0
Retrasos
En vivo
10
Altas pendientes
En vivo
75%
Ocupación
En vivo
Balance de Flujo Neto (hoy)
+4
Ingresos: 16
Altas: 12
La ocupación está aumentando
📈
Presión al alza

Net flow balance in real time

Anticipates capacity problems before they occur. Positive balance indicates growing pressure on beds, while negative signals freed capacity. Hospitals that monitor net flow reduce emergency referrals by 30% and improve resource planning for the next 24 hours.

Optimization of hospital stay

Reduces average hospital stay by 15-20%, freeing capacity without adding beds. Each day of reduction in average stay equals €800-1,200 in operational costs saved per patient. For a 300-bed hospital, this means €2-4 million annually in efficiency.

En vivo
Estancia media actual
71.4h
15%vs. mes anterior
Objetivo
68h
Meta 2025

Prevention of operational crises

Identifies bottlenecks before they become crises. Hospitals using Command Center reduce delays by 40% and improve patient satisfaction by 25 points. Each avoided delay saves 2-4 hours of staff time.

⚠️
Alerta
3
Pacientes >18h en espera
Nivel de urgencia alto
🛏️
Alerta
2
Capacidad crítica UCI
Requiere acción inmediata

Continuous measurement of operational performance

Achieve and maintain 95%+ operational efficiency with real-time visibility of deviations. Each percentage point of improvement represents €50,000-€100,000 annually in optimized operational costs. Automatic trends identify deteriorations before they affect operations.

En vivo
97%
Eficiencia operativa
3.5%
3.5h
Tiempo medio estancia
12%
8
Alertas activas
Requieren atención

Complete traceability of the patient journey

Eliminates manual patient searches and reduces failed handoffs by 60%. Automated tracking saves 20-30 minutes per nursing shift, allowing more time for direct care. Reduces adverse events due to lack of communication.

En vivo
Paciente
Unidad
Estado
Estancia
Acción
A
Paciente A
UCI
Estable
3 días
B
Paciente B
Cardiología
Alta hoy
5 días
C
Paciente C
Neurología
Observación
1 día
D
Paciente D
Urgencias
Ingreso
0 días
E
Paciente E
Cirugía
Postoperatorio
2 días
F
Paciente F
UCI
Crítico
7 días
Flujo de pacientes (última semana)
Lun
Mar
Mié
Jue
Vie
Sáb
Dom
Ingresos
Altas
Traslados

Predictive planning with AI

Anticipates demand peaks 3-5 days in advance using predictive AI models that analyze historical patterns and external variables. Allows proactive staff adjustments with accuracy above 85%, drastically reducing overtime costs.

Intelligent capacity balancing

Identifies overloaded and underutilized units in real time. Improves bed utilization by 12-18%, equivalent to adding 30-50 virtual beds without infrastructure investment. Reduces referrals to other hospitals due to lack of capacity.

En vivo
Distribución de capacidad por unidad
UCI19/20
Urgencias28/35
Cardiología32/40
Cirugía25/30
Neurología18/25
Disponible
Ocupado
Crítico

Intelligent operational triage

Our AI triage engine filters data noise, prioritizing only alerts that have a real impact on operational flow. Reduces alert fatigue and focuses supervision attention on what really matters for patient safety.

En vivo

Alertas: Pacientes prioritarios

3
Espera >18h18h 45min
Paciente GUrgencias
Capacidad crítica12h 30min
UCIÁrea crítica
Alta pendiente4h 15min
Paciente HPlanta 3

Measurable benefits

  • Time savings: 150 hours per year in information access (from 30 minutes daily to just 2 minutes)
  • Complete visibility: for the first time, medical management can see the complete hospital status on a single screen
  • Informed decisions: no more working by intuition. All decisions are backed by up-to-date data
  • Fewer calls: 80% reduction in calls for basic information (occupancy, available beds, patient status)

Command Center Technological Advantage

Why Command Center goes beyond traditional dashboards

Real-Time Updates

Self-healing AI parsers update data every 15 minutes without manual intervention.

Self-Healing Architecture

If SAP changes formats, our parsers adapt automatically without breaking the dashboard.

Always Audit-Ready

Every metric connected to SOPs guarantees total traceability for certifications.

Return on investment

For a community hospital of 85 beds, the annual savings are highly significant with a favorable return on investment in the first year. Contact us for a personalized ROI analysis.

2-2.3x
ROI Year 1
150h
Saved/year
6-8 wks
Implementation
CAPA 1: DIGITALIZACIÓN

To feed this data you need:

Without digitalized processes, dashboards lack operational context.

CAPA 3: RESPUESTA

Siguiente paso: Respuesta

Lleva tu gobernanza al siguiente nivel con Alertas e Inteligencia Predictiva.

¿Interesado en este producto?

Implementación: 6-8 weeks

Cada hospital tiene necesidades únicas. Solicita una propuesta personalizada basada en tu caso de uso específico.

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