Overview

The digital evolution of the healthcare sector requires innovative technological solutions capable of improving operational efficiency, diagnostic accuracy, training, and smart management by leveraging emerging technologies such as Extended Reality (XR), Artificial Intelligence (AI), Digital Twins, IoT, and Web3.

Key Technologies

• Extended Reality (XR)
• Artificial Intelligence (AI)
• Internet of Things (IoT) and Digital Twin
• Web3 (Blockchain)

Value proposition

• Improved diagnostic and procedural accuracy: use of XR to visualize and simulate complex medical conditions in greater detail.
• Guaranteed data security: use of blockchain (Web3) technologies for transparent, secure, and compliant management of sensitive data.
• Enhanced interaction between healthcare staff and patients: AI avatars for conversational simulations that improve the quality of interactions between staff and patients.
• Reduced costs and time: AI-driven and Digital Twin solutions for more accurate diagnoses, optimized medical procedures, and reduced operational costs.
• More inclusive culture: immersive awareness programs focused on Diversity & Inclusion (D&I).

Main features

• Centralized digital control: virtual twin for monitoring and simulating clinical processes and hospital resources.
• Proactive resource optimization: digital simulations to prevent failures, overloads, and inefficiencies in hospital management.
• System integration: easy integration with existing systems in the healthcare sector.

Use Case: Hospital Organization

Operational digitization and advanced training of healthcare personnel. Digital twin for integrated management of internal resources.

How it works

A comprehensive Digital Twin of the entire hospital facility has been developed. This digital solution allows administrators and technical managers to visualize and monitor in real time the operational status of medical equipment, technological systems, and internal workflows. Additionally, it enables virtual simulation of “what-if” scenarios (such as patient influx peaks or unexpected technical failures), allowing for proactive resource management, prevention of inefficiencies, and optimization of costs and operational responses.

Results

• 30% reduction in average response and resolution times for internal technical emergencies.
• 20% overall optimization in operating and extraordinary maintenance costs.
  Significant increase in operational safety and satisfaction among healthcare and technical staff.