Novel Approaches in Clinical Simulation: Immersive Educational Technology to Enhance Nursing Education

Main Article Content

Mr.
Mr.
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Professor
Mr.

Abstract

The emergence of virtual reality (VR) simulation has brought about a significant shift in the healthcare industry, as it integrates modern technologies with human talents to foster patient-centered care, clinical efficiency, and a compassionate healthcare digital ecosystem. The use of clinical simulation in nursing education has become essential in the current day, revolutionizing the training of future medical professionals. This paper explored the realm of simulation-based learning, illuminating its importance, obstacles, and endless potential in the field of nursing education. Given the ever-changing healthcare landscape, nurses need to possess a broad range of skills and a thorough comprehension of real-world situations. But conventional didactic methods frequently fail to adequately prepare student-nurses for the intricacies of clinical practice. VR is one of the most crucial elements of immersive learning that increases constructive pedagogic engagements due to generative imagination it offers. By using VR headgear or goggles, student-nurses can fully submerge themselves in a customized digital world as if they were truly there, interacting with their surroundings and learn in an interactive and pedagogic informative digital ecosystem. In order to help student-nurses practice problem-solving techniques without really placing themselves in risk, VR can also be used to construct very realistic simulations. In this study, the authors offered the transformative potential of VR, with significances to improve nursing education by offering engaging and interactive learning environments. The paper presented a novel approaches in addressing nursing education through technology familiarization, proposing a cutting-edge simulation platform using actor network (ANT) model for the resource distribution.

Article Details

How to Cite
Oyekunle, D. ., Ugochukwu, O. M., Rosa, R. L. ., Rodriguez, D. Z. ., & Fatai, L. O. . (2024). Novel Approaches in Clinical Simulation: Immersive Educational Technology to Enhance Nursing Education. INFOCOMP Journal of Computer Science, 23(1). Retrieved from https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/4397
Section
Information Systems
Author Biographies

Mr., University of Salford

David Oyekunle is a professional IT Research enthusiast with several years of working
experiences in IT Project Management, Customer Service Improvement, Business Analyst and
Risk Management Consultant, combining his vast digital skills in
driving innovation and project with a great knowledge of business
demands. David Oyekunle has organizational experiences in
leading cross-functional teams, formulating strategic project policy
and its logistics implementation, and ensure adherence to risk
standard and compliance, analyzing big datasets to discover trends
and patterns and provide recommendations for service
improvements. David Oyekunle has track record in executing intelligent lean management and
Six Sigma with data analysis, providing thorough Business Reports, and leveraging Technology
Innovation for efficient service improvements. David Oyekunle is a Bachelor of Science Degree
(B.Sc.) holder of Statistics from the prestigious University of Ilorin Kwara State, Nigeria between
2009 and 2014. David Oyekunle obtained his Master Degree (M.Sc.) in Business Administration
and Management (BAM) from National Open University, Nigeria between 2016 and 2018. David
Oyekunle further obtained a Master Degree in Business Administration (MBA), a Postgraduate
Degree Programme from New Haven University, United States of America in 2020. At present,
David Oyekunle is a Postgraduate Scholar with University of Salford, Manchester, United
Kingdom. David Oyekunle had authored and co-authored several research papers published in
the International ranked Journals. To his credit, David Oyekunle had served in various
Committee Membership in many International Conferences. David Oyekunle had developed vast
intellectual contents in academics and an educational consultant with U&J Digital Consult
Limited, an IT and Educational Consulting Firm base in Nigeria, registered under Cooperate Affair
Commission (CAC) Federal Republic of Nigeri

Mr., a:1:{s:5:"en_US";s:34:"Hussaini Adamu Federal Polytechnic";}

Ugochukwu Okwudili Matthew, presently is an Academic Scholar with Hussaini Adamu Federal Polytechnic, P.M.B 5004 Kazaure, Jigawa State, Nigeria in the Department of Computer Science with specialty in Artificial Intelligence, Big Data Science, Cloud Computing, Internet of Things, Data Mining, Multimedia and E-Learning Education. A Member of Nigeria Computer Society (NCS) , Nigeria Institute of Management (NIM), International Association of Computer Science & Information Technology (IACSIT), European Alliance for Innovation (EAI), International Association of Engineers of Computer Society (IAENG-CS)  and also a member of Teaching & Education Research Association (TERA). Ugochukwu O. Matthew hold Masters in Computer Applications from Bayero University Kano, Nigeria. In 2020, Matthew won Federal Government of Nigeria Bilateral Postgraduate Scholarship to UFV Brazil to study Computer Science. Matthew had authored and co-authored several research papers published in the International ranked Journals and Local Journals of high Academic significance. Ugochukwu O. Matthew had presented his research papers in so many International conferences. A widely travelled scholar, Matthew had reviewed Journals and a Member of Review Board Committee of IEEE Access , International Journal of Information Communication Technologies and Human Development-(IJICTD), SN Computer Science(Springer Journal), International Journal of Business Data Communications and Networking (IJBDCN) , International Journal of Cloud Applications and Computing (IJCAC),International Journal of ICT Research in Africa and the Middle East (IJICTRAME) and other Journals Indexed by Scopus and Web of Science. Ugochukwu O. Matthew had served in various Committee Membership capacity in many International Conferences . Ugochukwu O. Matthew had developed vast intellectual contents in academics and as educational consultant with U&J Digital Consult Limited Nigeria. Ugochukwu O. Matthew is open to career development and educational collaborations across divides. Ugochukwu O. Matthew is a cofounder of U&J Digital Consult Limited , an IT and Educational Consulting Firm in Nigeria.

Professor , Federal University of Lavras

Renata Lopes Rosa received the M.S. degree from the University of São Paulo in 2009, and the Ph.D. degree from the Polytechnic School, University of São Paulo in 2015. She is currently an Adjunct Professor with the Department of Computer Science, Federal University of Lavras, Brazil. She has a solid knowledge in computer science based on more than ten years of professional experience. Her current research interests include computer networks, telecommunication systems, machine learning, quality of experience of multimedia service, cybersecurity, social networks, and recommendation systems.

Professor , Federal University of Lavras

Demóstenes Zegarra Rodríguez (Senior Member, IEEE) received the B.S. degree in electronic engineering from the Pontifical Catholic University of Peru, Peru, and the M.S. and Ph.D. degrees from the University of São Paulo, in 2009 and 2013, respectively. From 2018 to 2019, he had a postdoctoral position at the Technical University of Berlin, specifically at the Quality and Usability Laboratory. He is currently an Adjunct Professor with the Department of Computer Science, Federal University of Lavras, Brazil. He has a solid knowledge in telecommunication systems and computer science based on 15 years of professional experience in major companies. His research interests include QoS and QoE in multimedia services, architect solutions in telecommunication systems, intrusion detection systems, and cybersecurity. He is a member of the Brazilian Telecommunications Society.

Mr., University of Salford

Lateef Olawale Fatai is an accomplished professional with a robust background in statistics and data science, earning his B.Sc in Statistics from the University of Abuja and an M.Sc from the University of Salford. He is an active member of prestigious professional organisations, including the Professional Statisticians Society of Nigeria (PSSN), American Statistical Association (ASA), Royal Statistical Society (RSS), Faculty of Public Health (FPH), American Public Health Association (APHA), and International Society for Computational Biology (ISCB). Lateef's expertise spans Cloud Computing, Big Data, Statistical Analysis, AI, Machine Learning, NLP, Business Intelligence, and Database Management, utilizing tools like Big Query, Python, R-Studio, and SAS. His research emphasis lies in Statistical and Computational Methods for High Dimensional Data in Public Health Analysis, with notable contributions to Statistical Genetics and Survival Analysis. His contributions to Behavioural and Health Sciences analysis, Longitudinal and Multilevel Data Analysis, Design and Analysis of Clinical Trials, Bayesian Models, and Application of Statistical Methods in Public Health demonstrate a commitment to advancing knowledge and solving intricate problems. Beyond his academic pursuits, Lateef O. Fatai actively engages in local and global statistical and computational biology communities, showcasing his commitment to advancing knowledge and addressing real-world challenges. His multifaceted involvement establishes him as a dynamic force in statistical innovation and artificial intelligence world.

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