Skip to main content

2024 | OriginalPaper | Buchkapitel

Progressive Healthcare Pedagogy: An Application Merging ChatGPT and AI-Video Technologies for Gamified and Cost-Effective Scenario-Based Learning

verfasst von : Matthew Pears, Cherry Poussa, Stathis Th. Konstantinidis

Erschienen in: Smart Mobile Communication & Artificial Intelligence

Verlag: Springer Nature Switzerland

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Healthcare education faces numerous challenges in meeting the expanding needs of students while providing personalized learning experiences. Artificial Intelligence (AI) technologies, specifically Large Language Models (LLMs), have emerged as promising solutions to address these challenges. However, the gap between technological advancements and practical implementation remains a significant bottleneck in AI integration. This paper presents an exploration of the practical implementation of AI in healthcare education, focusing on user-friendly, controllable, and transparent AI tools. The study reviews existing literature on AI in healthcare education, emphasizing the potential of LLMs but also addressing challenges, such as bias and fairness. A methodology section describes a serious game-based workshop that leveraged AI tools including ChatGPT-4 to simulate dynamic healthcare scenarios and foster user engagement. Results demonstrate the efficacy and adaptability of AI-driven applications in healthcare education, highlighting their potential as cost-effective learning resources. The paper discusses the implications of AI implementation, including its capacity to transform traditional educational methods, promote curiosity, and foster trust. Ultimately, this paper aims to inspire foster innovation and inform best practices for the practical integration of AI in healthcare education, bridging the gap between theoretical complexity and real-world application.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Chandra, M., Kumar, K., et al.: Digital technologies, healthcare, and Covid-19: insights from developing and emerging nations. Health Technol. (Berl) 12(2), 547–568 (2022)CrossRef Chandra, M., Kumar, K., et al.: Digital technologies, healthcare, and Covid-19: insights from developing and emerging nations. Health Technol. (Berl) 12(2), 547–568 (2022)CrossRef
2.
Zurück zum Zitat Ahn, S.: The impending impacts of large language models on medical education. Korean J. Med. Educ. 35, 103 (2023)CrossRef Ahn, S.: The impending impacts of large language models on medical education. Korean J. Med. Educ. 35, 103 (2023)CrossRef
3.
Zurück zum Zitat Norori, N., Hu, Q., Aellen, F.M., et al.: Addressing bias in big data and AI for health care: a call for open science. Patterns 2, 100347 (2021)CrossRef Norori, N., Hu, Q., Aellen, F.M., et al.: Addressing bias in big data and AI for health care: a call for open science. Patterns 2, 100347 (2021)CrossRef
4.
Zurück zum Zitat Lekadir, K., Osuala, R., Gallin, C., et al.: FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging. arXiv preprint arXiv:2109.09658 (2021) Lekadir, K., Osuala, R., Gallin, C., et al.: FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging. arXiv preprint arXiv:​2109.​09658 (2021)
5.
Zurück zum Zitat Langer, M., Oster, D., Speith, T., et al.: What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research. Artif. Intell. 296, 103473 (2021)MathSciNetCrossRef Langer, M., Oster, D., Speith, T., et al.: What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research. Artif. Intell. 296, 103473 (2021)MathSciNetCrossRef
6.
Zurück zum Zitat Sallam, M.: ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare 11(6), 887 (2023)CrossRef Sallam, M.: ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare 11(6), 887 (2023)CrossRef
8.
Zurück zum Zitat Garg, R.K., Urs, V.L., et al.: Exploring the role of Chat GPT in patient care (diagnosis and Treatment) and medical research: a systematic review. In: BMJ medRxiv Preprints (2023) Garg, R.K., Urs, V.L., et al.: Exploring the role of Chat GPT in patient care (diagnosis and Treatment) and medical research: a systematic review. In: BMJ medRxiv Preprints (2023)
10.
Zurück zum Zitat Mousavi Baigi, S.F., Sarbaz, M., et al.: Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: a systematic review. Health Sci. Rep. 6(3), e1138 (2023)CrossRef Mousavi Baigi, S.F., Sarbaz, M., et al.: Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: a systematic review. Health Sci. Rep. 6(3), e1138 (2023)CrossRef
11.
Zurück zum Zitat Jiang, L., Wu, Z., Xu, X., et al.: Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies. J. Int. Med. Res. 49(3), 3000605211000157 (2021)CrossRef Jiang, L., Wu, Z., Xu, X., et al.: Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies. J. Int. Med. Res. 49(3), 3000605211000157 (2021)CrossRef
14.
Zurück zum Zitat Zhang, W., Cun, X., Wang, et al.: SadTalker: learning realistic 3D motion coefficients for stylized audio-driven single image talking face animation. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8652-8661. Vancouver, BC, Canada (2023). https://doi.org/10.1109/CVPR52729.2023.00836 Zhang, W., Cun, X., Wang, et al.: SadTalker: learning realistic 3D motion coefficients for stylized audio-driven single image talking face animation. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8652-8661. Vancouver, BC, Canada (2023). https://​doi.​org/​10.​1109/​CVPR52729.​2023.​00836
Metadaten
Titel
Progressive Healthcare Pedagogy: An Application Merging ChatGPT and AI-Video Technologies for Gamified and Cost-Effective Scenario-Based Learning
verfasst von
Matthew Pears
Cherry Poussa
Stathis Th. Konstantinidis
Copyright-Jahr
2024
DOI
https://doi.org/10.1007/978-3-031-56075-0_10