Demand forecasting
Machine Learning nowcasting and forecasting anticipate demand peaks over the coming hours and days.
NexusCare anticipates demand peaks, prioritises triage and supports clinical decisions with predictive and agentic AI — all in a single system for public and private hospitals.
From forecasting to decision, NexusCare follows every step of the patient journey.
Machine Learning nowcasting and forecasting anticipate demand peaks over the coming hours and days.
Colour-coded clinical priority and early detection of deterioration through the NEWS2 score.
Assisted history-taking and automatic structuring of notes in SOAP format for the doctor.
It combines a PHP MVC backend with a Python AI microservice (Machine Learning, NLP and RAG) and a lightweight frontend. From booking to discharge, every step of the patient journey is monitored, predicted and optimised — with a heuristic fallback to ensure continuity even without the AI engine.
Modules covering the clinical flow end to end.
Machine Learning nowcasting and forecasting anticipate demand peaks over the coming hours and days.
Colour-coded clinical priority and early detection of deterioration through the NEWS2 score.
Assisted history-taking and automatic structuring of notes in SOAP format for the doctor.
Cross-reasoning across vital signs, situational context and history to support decisions.
Answers grounded in over 40 clinical documents, with vector search (ChromaDB).
Real-time slots, red-flag detection and validation of predicted load before confirming.
Video consultations integrated into the clinical flow, with notes and follow-up in the same record.
Patient data export in HL7/FHIR R4, ready for integration with the national health service.
AES-256 encryption, CSRF, rate-limiting, RBAC, auditing and per-doctor data isolation.
Notifications and operational status pushed to the screen via Server-Sent Events.
See the hospital in real time — predicted inflow, operational risk and triage queue — in a single predictive panel.
A robust backend, a dedicated AI engine and a lightweight interface — designed for resilience.
Controllers, models and views. Orchestrates authentication, security and business rules.
REST microservice on port 5001: prediction, triage, copilot, RAG and agentic reasoning.
A fast, responsive interface with real-time charts and AJAX calls to the backend.
Role-based access control (RBAC) with clinical data isolation.
Global management and auditing
Queue, records and clinical history
Triage, vital signs and NEWS2
Appointments and arrival check-in
Room sanitisation
Enter the Hospital Privado de Bragança portal and explore the full system — appointments, triage, demand forecasting and the clinical back office.