Development of an ICU training simulation with integrated real-patient data

09.09.2024, Diplomarbeiten, Bachelor- und Masterarbeiten

The Human-Centered Computing and Extended Reality Lab of the Professorship for Machine Intelligence in Orthopedics seeks applicants for Bachelor/Master Thesis for the Winter Semester 24/25 until 30th of September 2024.

Overview

This project aims to enhance nursing education through a simulation-based training application for ICUs. The student will integrate real patient data into the existing simulation and improve its usability and interactive features. Required skills include proficiency in Unity 3D and C#, with a focus on user experience and collaborative development. The goal is to create a more realistic and effective training tool for nurses, addressing the critical shortage of qualified professionals.

Background & Motivation

The shortage of qualified nursing professionals is a growing concern globally, impacting the quality of patient care in Intensive Care Units (ICUs). To address this issue, it is essential to invest in effective training programs that can bridge the gap between theoretical knowledge and practical experience. Leveraging simulation technologies to create immersive, realistic training environments offers a significant opportunity to enhance the learning experience for nursing students and professionals. By developing a simulation-based learning and training application, we aim to provide a valuable tool that improves clinical skills, decision-making, and overall preparedness for real-world ICU scenarios.

Student’s Task

The primary objectives for the student working on this thesis will be:

• Integrate Real Patient Data: Incorporate real patient data into the simulation to enhance the realism and accuracy of the scenarios. This will involve understanding and implementing data integration techniques to ensure that the simulation reflects actual patient conditions and responses.
• Enhance Current Application: Improve the existing simulation application by refining its features, usability, and educational effectiveness. This includes updating the user interface, enhancing interactive elements, and incorporating feedback from users to make the application more intuitive and engaging.
• Conduct a User Study: Design and execute a user study to evaluate the effectiveness of the enhanced simulation. This involves recruiting participants, collecting and analyzing feedback, and assessing the training application's impact on user performance and learning outcomes.

Technical Prerequisites

Students should have previous knowledge in developing 3D applications using the Unity 3D engine or in programming C#. They should be motivated to prioritize usability and user experience and willing to collaborate with both novices and experts to enhance and test the system.

Please send your transcript of records, CV and motivation to: Luisa Theelke (luisa.theelke@tum.de) with CC to hex-thesis.ortho@mh.tum.de

Literature
Liaw, S. Y., Tan, J. Z., Bin Rusli, K. D., Ratan, R., Zhou, W., Lim, S., ... & Chua, W. L. (2023). Artificial intelligence versus human-controlled doctor in virtual reality simulation for Sepsis team training: randomized controlled study. Journal of Medical Internet Research, 25, e47748.
Theelke, L., Metzler, F. L., Kreimeier, J., Hauer, C., Binder, J., & Roth, D. (2023, October). Investigating the Effects of Selective Information Presentation in Intensive Care Units Using Virtual Reality. In 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (pp. 195-204). IEEE.
Williams-Bhatti, A., Carruthers, D., & Wilson, A. S. (2023, March). SEPSIS COLLAB: A Virtual Reality Training Simulation For Sepsis Treatment. In 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 132-135). IEEE.

Kontakt: hex-thesis.ortho@mh.tum.de, luisa.theelke@tum.de

More Information

https://hex-lab.io