Medical software

clinicalhospitalemergency

Summary
Dedalus Command Center is a hospital command center that aggregates clinical and operational data to enable real-time patient care orchestration. The platform supports cross-department coordination across emergency, peri-operative, inpatient, outpatient and population health services while incorporating external environmental factors to support timely, data-driven decisions and personalised care pathways.

Real-time operational and clinical surveillance
Dedalus Command Center processes live data streams and produces prospective insights and diagnostic analytics to show what is happening, what could happen and recommended actions. These outputs are integrated into clinical and operational workflows.

• Control and monitor enterprise processes from a central coordination point.
• Detect in real time impending risk conditions that could impact clinical effectiveness and operational efficiency.
• Provide real-time recommendations for resource management to meet objectives.

Solution-driven design
The Command Center is built to drive decisions and coordination across the care continuum.

• Operates on event-driven, real-time data to enable transparent, reliable decisions.
• Delivers a global view of patient flows, area capacity, resource state and availability, and forecasting.
• Uses AI/ML-powered prospective models to anticipate planned activity and emergencies.
• Generates insights that trigger next-best actions within caregivers' workflows.
• Supports a shared decision model and collaborative scenarios for collective governance.

AI Powered Intervention
Dedalus Command Center leverages AI and machine learning to analyse structured and unstructured data, applying clinical and process rules to alert teams to clinical and operational risks. Capabilities include forecasting, anomaly detection and rule-based recommendations to enhance patient safety and operational resilience.

Key Benefits

• Convert real-time insights into organisational performance improvements for clinical and operational processes.
• Increase efficiency by clarifying operational constraints and risk factors.
• Improve access to and effectiveness of care for patients.
• Accelerate throughput and quality via better demand and capacity management.
• Enhance user confidence with predictable, reliable decision support.
• Foster collaboration through standardised reporting and sharing of best practices.

Key Features

• Manage multivariate datasets and enable secure data sharing across stakeholders.
• Digitise core organisational measures and alert on exceptions in real time.
• Produce accessible, timely performance reports with minimal effort.
• Use predictive models based on AI/ML and anomaly detection.
• Support simulation and digital twin technologies for scenario planning.
• Deliver rapid diagnostic analytics and next-best-action insights integrated into workflows.

Product information
Supporting materials include a Command Center flyer and a case video describing the Gregorio Marañón Command Center implementation to illustrate platform capabilities and outcomes.

Selected FAQ highlights

• What is a hospital command centre? — A digital hub that consolidates operational and clinical data to provide real-time visibility into patient flow, resource availability and care coordination across a healthcare organisation.
• What is the Dedalus Command Centre? — An advanced digital hub designed to orchestrate clinical and operational data in real time across emergency, inpatient, outpatient and population health to enable faster, data-driven decisions.
• Can the Command Centre integrate with existing hospital systems? — Yes. It is built for interoperability with EHRs, scheduling, equipment tracking and other hospital IT systems.
• Does the Dedalus Command Centre use artificial intelligence? — Yes. It leverages AI/ML for forecasting, anomaly detection and rule-based recommendations.
• Is the Command Centre suitable for multisite organisations? — Yes. It supports enterprise-wide coordination, centralised control and collaborative workflows.
• How does it improve patient care? — By providing clinicians and administrators with real-time actionable insights to enable faster interventions and optimise resource allocation.

Technical specifications

• Real-time data ingestion and event-driven orchestration of clinical and operational information.
• Interoperability with EHRs, scheduling, equipment tracking, building management systems and other hospital IT systems.
• Support for structured and unstructured data processing.
• AI/ML capabilities: forecasting, anomaly detection, predictive models and rule-based recommendations.
• Simulation and digital twin support for scenario planning and operational modelling.
• Multi-site enterprise support for centralised visibility and governance.
• Delivery of next-best-action insights into clinical and operational workflows.
• Accessible, timely performance reporting and diagnostic analytics.
• Management of multivariate datasets and cross-constituent data sharing.