Use Cases & Trials
UC EDU 3 - Enhanced Healthcare Education
The aim of the use case is to enhance the training of prehospital nurses. Practical training with manikins is an important part of their education, but making the training realistic is a key challenge. With the help of B5G/6G we move the manikin out of the classroom and into realistic scenarios, also allowing other students to participate remotely.
Partners


Use Case Overall
Medical personnel, such as prehospital nurses, must be able to handle a wide range of medical emergencies. These emergencies can range from traffic accidents and sports injuries to various medical emergencies that may occur at home. Additionally, they must be able to provide care in the ambulance on the way to the hospital. This requires both advanced cognitive and clinical skills.
To develop these skills, practical training, often with patient simulators that present human anatomy and physiology, is an important part of the education. However, creating a realistic training environment poses a significant challenge. Currently, patient simulators are confined to a classroom setting, irrespective of the scenario being trained. This setup is markedly different from real-life accident scenes or the experience of treating a patient in a moving ambulance.
This is where our use case comes in. By leveraging beyond-5G (B5G) and 6G technologies, we move training out of the classroom and into realistic scenarios, such as in an ambulance or at a simulated accident scene. Today, patient simulators are controlled through a mirror wall, allowing observation of classroom activities. But by connecting the patient simulator over B5G/6G and via transmitted video, it can be remotely controlled and used outside the classroom to create more realistic training scenarios. The technology also enables students to participate in the scenarios remotely via audio and multiple video feeds.
With our solution, we bring training into real-world settings, facilitating a new level of learning that is more flexible, more authentic, and more economically sustainable. The technology tested in the use case is not limited to our specific scenario, but can be applied to other educational settings or to provide backend expert medical advice to prehospital nurses and other first responders.
Key Objectives
Extend manikin training beyond a confined location by allowing the manikin to be remotely controlled.
Improve the educational experience by allowing more authentic simulated scenarios.
Increase the flexibility in the education by allowing students to take part in the simulated scenarios remotely.
Demonstrate how beyond-5G (B5G) and 6G technologies can be used to provide enhanced healthcare education.
Expected Innovations/Outcomes
The developed use case is expected to contribute to enhanced healthcare education by bringing improved realism into the training.
Improvements in the healthcare education will lead to improved health services. Better trained medical staff will improve the quality of the provided care and lead to increased patient safety.
Demonstration of how network slicing, local breakout functionality with edge service deployment, and low latency features in the network can be leveraged to remotely control the manikin.
KPIs
- Latency: Low latency is needed to provide an interactive, immersive experience and allow control of the manikin.
- Uplink Capacity: High uplink capacity for upload of video and other types of streams.
- Packet Loss Rate: Low packet-loss to avoid interference in real-time streaming.
- Video Quality: Good video quality to ensure a smooth viewing experience.
KVIs
Increased Realism
Fraction of students that feel the solutions contribute to increased training realism.
Increased Engagement
Fraction of students that feel the solutions improved their engagement in the training.
Technology Acceptance
Fraction of students that feel 5G/6G and immersive technologies bring a positive benefit for the training.
Enhanced Healthcare Education
How well the students find the simulation medical scenarios supported their learning.
Use Case Alignment with UN SDGs
UC-EDU-3 leverages B5G/6G, XR, and AI to deliver immersive, realistic, and scalable health training for first responders, advancing SDGs on health workforce development, quality education, digital innovation, and multi-stakeholder partnerships.

Enhances the training of ambulance nurses and first responders using immersive XR and AI, improving the quality and reach of health workforce education and preparedness (Target 3.c).

Provides healthcare professionals with advanced technical and vocational training, enhancing their skills and competencies in emergency response scenarios (Target 4.4, 4.7).

Demonstrates the application of B5G/6G, AI, and XR in eHealth education, driving innovation and digital infrastructure in the health and education sectors (Target 9.5, 9.c).

Connects eHealth educators, telecom providers, and tech SMEs, fostering cross-sector collaboration and open access to AI training datasets for broader impact (Target 9.5, 9.c).
Lab Trial
- March 6
- Karlstad
The aim of the trial was to test all parts of the use case with a small group of participants. This included disconnecting the manikin from its wired connection, connecting it over 5G, and controlling it remotely; executing a medical scenario on the manikin that was captured with both a head-mounted camera and a 360-degree camera; having a group of participants that followed the scenario remotely; and collecting a set of KVIs and KPIs.

Staff Trial
- March 13
- Karlstad
The aim of the trial was to test all parts of the use case with a small group of participants from nursing science. This included disconnecting the manikin from its wired connection, moving the manikin to an ambulance, connecting it over 5G and controlling it remotely; executing two medical scenarios on the manikin that was captured with both a head-mounted camera and a 360-degree camera; having a group of participants that followed the scenario remotely; and collecting a set of KVIs and KPIs.
Lab Trial 2
- March 25
- Karlstad
The aim of the second lab trial was to test how to best set up the video and audio feeds from the ambulance during trials. This extra lab trial was decided on based on the lessons learned from the small staff trial where we had some issues with the video and audio setup. In addition, we experimented with how to best get the manikin started, in case it needs to be restarted during trials.




