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Related Experiment Video

Updated: Jul 4, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

Designing a Healthcare Operational Command Centre Architecture for Real-Time Care Coordination.

Femi Ladega¹, Gaurav Kumar¹, Sharon Jones¹

¹Dedalus Research Lab, Italy.

Studies in Health Technology and Informatics

|July 3, 2026

Summary

This summary is machine-generated.

This study introduces the Dedalus Command Centre, a platform enhancing hospital operations through real-time data integration and predictive analytics. It aims to improve situational awareness and patient flow management for better healthcare delivery.

Keywords:

Command Centre Decision Support Interoperability Operational intelligence Patient flow

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Last Updated: Jul 4, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

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Published on: April 12, 2021

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Area of Science:

Healthcare Systems Engineering
Health Informatics
Operational Research

Background:

Hospitals face challenges managing increasing patient volumes and operational complexity.
Electronic Medical Records (EMRs) generate vast data but often lack integrated operational intelligence.
Fragmented information hinders the transformation into actionable insights for improved healthcare delivery.

Purpose of the Study:

To present the conceptual architecture of the Dedalus Command Centre.
To design a platform for real-time operational coordination in healthcare settings.
To address the need for integrated operational intelligence in hospitals.

Main Methods:

Design-oriented research approach.
Multidisciplinary working group collaboration.
Concept development: stakeholder engagement, workflow analysis, architecture design, prototype validation, and implementation.

Main Results:

A three-layer platform architecture: real-time data integration, analytics/intelligence, and user applications.
The platform integrates heterogeneous hospital data streams.
Provides predictive and simulation capabilities for operational dashboards and role-based tools.

Conclusions:

The architecture facilitates real-time operational monitoring and predictive insights.
Supports enhanced situational awareness, patient flow management, and coordinated hospital operations.
Further studies are planned to assess the impact on hospital operational performance.