The Vigilia Medicus Platform
The Vigilia Medicus Platform
Our Platform
Vigilia is developing a continuous intelligence layer for critical care built around two specialized computational cores. The real-time physiologic modeling core is designed to analyze continuous waveforms, telemetry, ventilator data, and other bedside monitor data. The clinical interpretation and reasoning core is designed to interpret structured EHR data, clinical notes, laboratory results, medications, and interventions in longitudinal context.
Outputs from the two cores are intended to converge in a dynamic, patient-specific Clinical State Model representing current state, trajectory, and emerging risk. That shared context is designed to support predictive clinical vigilance and targeted clinical decision support while preserving the critical-care team as the decision maker. Initial development is focused on respiratory deterioration and mechanical ventilation.
Our Platform
Vigilia is developing a continuous intelligence layer for critical care built around two specialized computational cores. The real-time physiologic modeling core is designed to analyze continuous waveforms, telemetry, ventilator data, and other bedside monitor data. The clinical interpretation and reasoning core is designed to interpret structured EHR data, clinical notes, laboratory results, medications, and interventions in longitudinal context.
Outputs from the two cores are intended to converge in a dynamic, patient-specific Clinical State Model representing current state, trajectory, and emerging risk. That shared context is designed to support predictive clinical vigilance and targeted clinical decision support while preserving the critical-care team as the decision maker. Initial development is focused on respiratory deterioration and mechanical ventilation.
ARCHITECTURE // DUAL-CORE CLINICAL INTELLIGENCE
ARCHITECTURE // DUAL-CORE CLINICAL INTELLIGENCE
PHYSIOLOGIC INPUTS // WAVEFORMS, TELEMETRY + VENTILATOR DATA
PHYSIOLOGIC INPUTS // WAVEFORMS, TELEMETRY + VENTILATOR DATA
CLINICAL CONTEXT // STRUCTURED EHR, NOTES + INTERVENTIONS
CLINICAL CONTEXT // STRUCTURED EHR, NOTES + INTERVENTIONS
CURRENT STAGE // ARCHITECTURE DEFINED; EARLY PROTOTYPE UNDERWAY
CURRENT STAGE // ARCHITECTURE DEFINED; EARLY PROTOTYPE UNDERWAY
Vigilia is developing a computational physiology core to analyze continuous waveforms, ventilator data, and other bedside signals. The approach combines physiologic principles with data-driven modeling to estimate patient state and characterize changes over time. Initial development focuses on respiratory physiology, with the goal of identifying evolving patterns that may signal emerging deterioration.
PHYSICS-INFORMED PHYSIOLOGIC MODELING
Computational Physiology
Vigilia is developing a computational physiology core to analyze continuous waveforms, ventilator data, and other bedside signals. The approach combines physiologic principles with data-driven modeling to estimate patient state and characterize changes over time. Initial development focuses on respiratory physiology, with the goal of identifying evolving patterns that may signal emerging deterioration.
PHYSICS-INFORMED PHYSIOLOGIC MODELING
Computational Physiology
Vigilia is developing a clinical reasoning core to interpret structured EHR data, clinical notes, laboratory results, medications, and interventions in longitudinal context. The approach combines patient-specific information with relevant clinical evidence to help explain the significance of physiologic changes in light of the patient’s baseline, recent course, and active treatment. Its purpose is to support clinician interpretation and judgment.
PATIENT CONTEXT & EVIDENCE-INFORMED REASONING
Clinical Reasoning
Vigilia is developing a clinical reasoning core to interpret structured EHR data, clinical notes, laboratory results, medications, and interventions in longitudinal context. The approach combines patient-specific information with relevant clinical evidence to help explain the significance of physiologic changes in light of the patient’s baseline, recent course, and active treatment. Its purpose is to support clinician interpretation and judgment.
PATIENT CONTEXT & EVIDENCE-INFORMED REASONING
Clinical Reasoning
Vigilia’s proposed convergence layer brings together outputs from physiologic modeling and clinical reasoning to form a shared, patient-specific Clinical State Model. This evolving representation is intended to capture the patient’s current condition, trajectory, and emerging risk as new physiologic and clinical information becomes available. It provides the foundation for predictive clinical vigilance and targeted decision support.
DYNAMIC CLINICAL STATE MODEL
Multimodal Integration
Vigilia’s proposed convergence layer brings together outputs from physiologic modeling and clinical reasoning to form a shared, patient-specific Clinical State Model. This evolving representation is intended to capture the patient’s current condition, trajectory, and emerging risk as new physiologic and clinical information becomes available. It provides the foundation for predictive clinical vigilance and targeted decision support.
DYNAMIC CLINICAL STATE MODEL
Multimodal Integration
Vigilia's deployment architecture is being designed to keep time-sensitive physiologic processing close to the point of care while operating within governed hospital environments. Enterprise infrastructure supports interoperability, security, auditability, and model lifecycle management, with deployment patterns adapted to each health system's clinical and technical requirements.
EDGE-NATIVE CLINICAL INFRASTRUCTURE
Hospital Deployment
Vigilia's deployment architecture is being designed to keep time-sensitive physiologic processing close to the point of care while operating within governed hospital environments. Enterprise infrastructure supports interoperability, security, auditability, and model lifecycle management, with deployment patterns adapted to each health system's clinical and technical requirements.
EDGE-NATIVE CLINICAL INFRASTRUCTURE
Hospital Deployment
Computational Physiology
Computational Physiology
Computational Physiology
Vigilia is developing a computational physiology core to analyze continuous waveforms, ventilator data, and other bedside signals. The approach combines physiologic principles with data-driven modeling to estimate patient state and characterize changes over time. Initial development focuses on respiratory physiology, with the goal of identifying evolving patterns that may signal emerging deterioration.
Clinical Reasoning
Clinical Reasoning
Clinical Reasoning
Vigilia is developing a clinical reasoning core to interpret structured EHR data, clinical notes, laboratory results, medications, and interventions in longitudinal context. The approach combines patient-specific information with relevant clinical evidence to help explain the significance of physiologic changes in light of the patient’s baseline, recent course, and active treatment. Its purpose is to support clinician interpretation and judgment.
Multimodal Integration
Multimodal Integration
Multimodal Integration
Vigilia’s proposed convergence layer brings together outputs from physiologic modeling and clinical reasoning to form a shared, patient-specific Clinical State Model. This evolving representation is intended to capture the patient’s current condition, trajectory, and emerging risk as new physiologic and clinical information becomes available. It provides the foundation for predictive clinical vigilance and targeted decision support.
Hospital Deployment
Hospital Deployment
Hospital Deployment
Vigilia's deployment architecture is being designed to keep time-sensitive physiologic processing close to the point of care while operating within governed hospital environments. Enterprise infrastructure supports interoperability, security, auditability, and model lifecycle management, with deployment patterns adapted to each health system's clinical and technical requirements.
Engaging Clinical Partners
Vigilia is seeking critical-care collaborators and health-system partners to help refine clinical workflows, validation endpoints, and deployment requirements.
The Vigilia Medicus Platform
The Vigilia Medicus Platform
Our Platform
Vigilia is developing a continuous intelligence layer for critical care built around two specialized computational cores. The real-time physiologic modeling core is designed to analyze continuous waveforms, telemetry, ventilator data, and other bedside monitor data. The clinical interpretation and reasoning core is designed to interpret structured EHR data, clinical notes, laboratory results, medications, and interventions in longitudinal context.
Outputs from the two cores are intended to converge in a dynamic, patient-specific Clinical State Model representing current state, trajectory, and emerging risk. That shared context is designed to support predictive clinical vigilance and targeted clinical decision support while preserving the critical-care team as the decision maker. Initial development is focused on respiratory deterioration and mechanical ventilation.
Our Platform
Vigilia is developing a continuous intelligence layer for critical care built around two specialized computational cores. The real-time physiologic modeling core is designed to analyze continuous waveforms, telemetry, ventilator data, and other bedside monitor data. The clinical interpretation and reasoning core is designed to interpret structured EHR data, clinical notes, laboratory results, medications, and interventions in longitudinal context.
Outputs from the two cores are intended to converge in a dynamic, patient-specific Clinical State Model representing current state, trajectory, and emerging risk. That shared context is designed to support predictive clinical vigilance and targeted clinical decision support while preserving the critical-care team as the decision maker. Initial development is focused on respiratory deterioration and mechanical ventilation.
ARCHITECTURE // DUAL-CORE CLINICAL INTELLIGENCE
ARCHITECTURE // DUAL-CORE CLINICAL INTELLIGENCE
PHYSIOLOGIC INPUTS // WAVEFORMS, TELEMETRY + VENTILATOR DATA
PHYSIOLOGIC INPUTS // WAVEFORMS, TELEMETRY + VENTILATOR DATA
CLINICAL CONTEXT // STRUCTURED EHR, NOTES + INTERVENTIONS
CLINICAL CONTEXT // STRUCTURED EHR, NOTES + INTERVENTIONS
CURRENT STAGE // ARCHITECTURE DEFINED; EARLY PROTOTYPE UNDERWAY
CURRENT STAGE // ARCHITECTURE DEFINED; EARLY PROTOTYPE UNDERWAY
Vigilia is developing a computational physiology core to analyze continuous waveforms, ventilator data, and other bedside signals. The approach combines physiologic principles with data-driven modeling to estimate patient state and characterize changes over time. Initial development focuses on respiratory physiology, with the goal of identifying evolving patterns that may signal emerging deterioration.
PHYSICS-INFORMED PHYSIOLOGIC MODELING
Computational Physiology
Vigilia is developing a computational physiology core to analyze continuous waveforms, ventilator data, and other bedside signals. The approach combines physiologic principles with data-driven modeling to estimate patient state and characterize changes over time. Initial development focuses on respiratory physiology, with the goal of identifying evolving patterns that may signal emerging deterioration.
PHYSICS-INFORMED PHYSIOLOGIC MODELING
Computational Physiology
Vigilia is developing a clinical reasoning core to interpret structured EHR data, clinical notes, laboratory results, medications, and interventions in longitudinal context. The approach combines patient-specific information with relevant clinical evidence to help explain the significance of physiologic changes in light of the patient’s baseline, recent course, and active treatment. Its purpose is to support clinician interpretation and judgment.
PATIENT CONTEXT & EVIDENCE-INFORMED REASONING
Clinical Reasoning
Vigilia is developing a clinical reasoning core to interpret structured EHR data, clinical notes, laboratory results, medications, and interventions in longitudinal context. The approach combines patient-specific information with relevant clinical evidence to help explain the significance of physiologic changes in light of the patient’s baseline, recent course, and active treatment. Its purpose is to support clinician interpretation and judgment.
PATIENT CONTEXT & EVIDENCE-INFORMED REASONING
Clinical Reasoning
Vigilia’s proposed convergence layer brings together outputs from physiologic modeling and clinical reasoning to form a shared, patient-specific Clinical State Model. This evolving representation is intended to capture the patient’s current condition, trajectory, and emerging risk as new physiologic and clinical information becomes available. It provides the foundation for predictive clinical vigilance and targeted decision support.
DYNAMIC CLINICAL STATE MODEL
Multimodal Integration
Vigilia’s proposed convergence layer brings together outputs from physiologic modeling and clinical reasoning to form a shared, patient-specific Clinical State Model. This evolving representation is intended to capture the patient’s current condition, trajectory, and emerging risk as new physiologic and clinical information becomes available. It provides the foundation for predictive clinical vigilance and targeted decision support.
DYNAMIC CLINICAL STATE MODEL
Multimodal Integration
Vigilia's deployment architecture is being designed to keep time-sensitive physiologic processing close to the point of care while operating within governed hospital environments. Enterprise infrastructure supports interoperability, security, auditability, and model lifecycle management, with deployment patterns adapted to each health system's clinical and technical requirements.
EDGE-NATIVE CLINICAL INFRASTRUCTURE
Hospital Deployment
Vigilia's deployment architecture is being designed to keep time-sensitive physiologic processing close to the point of care while operating within governed hospital environments. Enterprise infrastructure supports interoperability, security, auditability, and model lifecycle management, with deployment patterns adapted to each health system's clinical and technical requirements.
EDGE-NATIVE CLINICAL INFRASTRUCTURE
Hospital Deployment
Computational Physiology
Computational Physiology
Computational Physiology
Vigilia is developing a computational physiology core to analyze continuous waveforms, ventilator data, and other bedside signals. The approach combines physiologic principles with data-driven modeling to estimate patient state and characterize changes over time. Initial development focuses on respiratory physiology, with the goal of identifying evolving patterns that may signal emerging deterioration.
Clinical Reasoning
Clinical Reasoning
Clinical Reasoning
Vigilia is developing a clinical reasoning core to interpret structured EHR data, clinical notes, laboratory results, medications, and interventions in longitudinal context. The approach combines patient-specific information with relevant clinical evidence to help explain the significance of physiologic changes in light of the patient’s baseline, recent course, and active treatment. Its purpose is to support clinician interpretation and judgment.
Multimodal Integration
Multimodal Integration
Multimodal Integration
Vigilia’s proposed convergence layer brings together outputs from physiologic modeling and clinical reasoning to form a shared, patient-specific Clinical State Model. This evolving representation is intended to capture the patient’s current condition, trajectory, and emerging risk as new physiologic and clinical information becomes available. It provides the foundation for predictive clinical vigilance and targeted decision support.
Hospital Deployment
Hospital Deployment
Hospital Deployment
Vigilia's deployment architecture is being designed to keep time-sensitive physiologic processing close to the point of care while operating within governed hospital environments. Enterprise infrastructure supports interoperability, security, auditability, and model lifecycle management, with deployment patterns adapted to each health system's clinical and technical requirements.