NexusCare
Real-time clinical monitoring and care-coordination for pre-clinical and primary care.
NexusCare is the real-time clinical monitoring and care-coordination layer within the pre-clinical and primary care ecosystem. It integrates wearable vital-sign streams, patient self-reporting, EHR-linked medical context and secure clinician interactions into a single operational environment, enabling continuous situational awareness across distributed care teams.
NexusCare is grounded in published research on emergency medicine scenarios, cross-border medical response, and chronic-care patient management. It connects to NexusFlow for orchestrated clinical workflows and is assurable via NexusTrust for governance-ready healthcare AI.
Key Features
- Continuous ingestion of vital-sign streams — wearable and bedside devices feeding real-time physiological data into the clinical picture
- Structured patient self-reporting — symptom tracking and condition updates captured through mobile interfaces
- EHR-linked medical context — FHIR R4-aligned interoperability enriching every interaction with patient history, medications, and risk tiers
- Secure clinician collaboration — role-based messaging, video consultation coordination, and structured handover between care teams
- Remote monitoring and triage support — enabling distributed care teams to maintain situational awareness across patients and settings
- Operational dashboards — real-time views for care coordinators, primary care leads, and emergency medicine teams
Application Areas
Emergency & Acute Care
- Emergency medicine and prehospital acute coronary syndrome management
- Cross-border medical emergency response (ESCORT-validated scenarios)
- Surge capacity planning and mass-casualty triage
Primary & Chronic Care
- Pre-clinical and primary care services
- Chronic disease monitoring and home-care pathways
- Hospital decongestion and remote patient follow-up
Technical Specification
| Architecture | Cloud / on-premise hybrid; back-end services hosted on GPU-enabled HPC |
| Data Sources | Wearables, IoT sensors, EHRs, patient apps, clinician inputs |
| Interoperability | HL7 FHIR R4-aligned; integrates with EHR systems and NexusFlow |
| Security | Role-based access, encrypted channels, audit trails |
| Deployment | Web + mobile; containerised back-end |
| Cluster | Cluster 1 — Health |
How It Works
Vital-Sign Ingestion & Monitoring
NexusCare continuously ingests physiological data from wearable devices and bedside monitors — heart rate, SpO2, blood pressure, respiratory rate, temperature, and ECG waveforms. Each data stream is normalised, timestamped, and linked to the patient’s clinical profile. The system maintains a rolling vital-sign timeline for every patient, enabling clinicians to see not just the current reading but the trajectory — whether a parameter is stable, trending upward, or deteriorating. Alert thresholds are configurable per patient, per condition, and per care setting, ensuring that notifications are clinically meaningful rather than noise.
This vital-sign timeline architecture was validated using the ESCORT ACS Dataset — 500 synthetic prehospital acute coronary syndrome cases with protocol-deviation annotations and vital-sign timelines (Chandramouli, 2026) — demonstrating NexusCare’s ability to handle complex, time-critical emergency scenarios where early detection of deterioration is the difference between intervention and adverse outcome.
FHIR-Aligned Patient Context
Every patient interaction in NexusCare is enriched by their clinical context — drawn from EHR systems through HL7 FHIR R4 interfaces. Medical history, current medications, allergies, risk stratification, and care plans are available alongside the live vital-sign stream, giving clinicians a complete picture without switching between systems. This integration ensures that a remote monitoring alert for elevated blood pressure is interpreted differently for a patient with known hypertension on medication versus a post-surgical patient where the same reading signals a complication.
The FHIR data model was developed and validated using the ESCORT Synthetic FHIR R4 Dataset — 500 European chronic-care patients with risk tiers and wearable time-series (Chandramouli, 2026) — ensuring that NexusCare’s interoperability layer handles the complexity of real-world chronic-care populations across European healthcare systems.
Clinical Collaboration & Coordination
NexusCare provides secure, role-based communication channels for distributed care teams. A primary care physician can escalate a patient to a specialist with the full clinical context attached — vitals, history, current observations — eliminating the “tell me everything again” problem that wastes time and risks information loss in handovers. Video consultation is integrated for GP-patient and specialist-GP interactions, with the vital-sign timeline and EHR context visible during the call. Structured handover templates ensure that critical information transfers reliably between shifts, teams, and institutions.
Cross-Border Emergency Response
NexusCare was architecturally designed to support cross-border medical emergency scenarios — situations where a patient’s care involves multiple institutions, jurisdictions, and languages. The ESCORT project validated this capability through emergency medicine scenarios where prehospital teams, emergency departments, and specialist centres needed to coordinate across borders with shared situational awareness. NexusCare’s architecture handles the interoperability, security, and consent management challenges that make cross-border healthcare coordination technically and legally complex.
Chronic Care & Remote Monitoring
Beyond acute scenarios, NexusCare supports long-term chronic disease monitoring through home-based wearable devices and patient self-reporting. Patients with chronic conditions — heart failure, COPD, diabetes, hypertension — are continuously monitored at home, with the system detecting early signs of exacerbation before they require hospitalisation. Care coordinators see aggregated dashboards showing their entire patient panel, colour-coded by risk tier and alert status, enabling proactive outreach to patients whose trajectories suggest intervention is needed.
Research Foundation
NexusCare is grounded in peer-reviewed research and validated datasets from the ESCORT project and VTG’s healthcare research programme:
Publications
- Floros, G., Gui, D., Magalini, S., Martignano, M., Zellhuber, I., Weber, M., Anagnostopoulos, T., Lykokanellos, F., Tsekeridou, S., Petanidis, S., Chandramouli, K., & Markarian, G. (2026). AI Enabled Healthcare Services During Cross-Border Medical Emergency and Regular Patient Services (ESCORT project): System architecture and first results in Emergency Medicine Scenario. In Proceedings of the International Conference on Information Systems for Crisis Response and Management (ISCRAM 2026). [Paper]
- Chandramouli, K. (2026). ESCORT: An Integrated Platform for Telemedicine and Resilient Healthcare Management. ISCRAM 2026.
Validated Datasets
- Chandramouli, K. (2026). ESCORT ACS Dataset (Dialogue Edition): 500 Synthetic Prehospital Acute Coronary Syndrome Cases with Protocol-Deviation Annotations and Vital-Sign Timelines [Data set]. Zenodo. https://doi.org/10.5281/zenodo.20708657
- Chandramouli, K. (2026). ESCORT Synthetic FHIR R4 Dataset: 500 European Chronic-Care Patients with Risk Tiers and Wearable Time-Series [Data set]. Zenodo. https://doi.org/10.5281/zenodo.20708545
These datasets are publicly available on Zenodo and provide the validation evidence for NexusCare’s vital-sign ingestion, FHIR interoperability, risk stratification, and clinical timeline reconstruction capabilities.
Heritage & Lineage
NexusCare builds on the outcomes from the ESCORT project — an integrated platform for telemedicine and resilient healthcare management addressing cross-border medical emergencies and regular patient services. The system architecture and first results in emergency medicine were presented at ISCRAM 2026 (Floros et al., 2026), with VTG contributing the AI-enabled monitoring, clinical workflow orchestration, and FHIR interoperability layers. The platform’s capabilities were further validated through the publication of two synthetic clinical datasets on Zenodo (Chandramouli, 2026), establishing a reproducible evidence base for NexusCare’s core functionality.
Target Calls: Horizon Europe Cluster 1 (Health) — digital health, primary care transformation, emergency preparedness, cross-border healthcare interoperability, and One Health topics.
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