Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
[The Importance of Cross-disciplinary Technology Creativity in the Field of Healthcare].
2
Zitationen
1
Autoren
2019
Jahr
Abstract
"Technology - Born from Human Nature" is a familiar Taiwan advertising slogan. Healthcare is a profession that is intimately entwined with human nature. In order to keep up with today's fast-changing healthcare environment and the broadly diverse needs of different healthcare settings, how to best use technology to creatively and efficiently develop patient-friendly care services and interdisciplinary teaching and learning strategies is a topic that is now receiving significant and growing attention in this field. The increasing utilization of big data worldwide is allowing us to better understand public needs and to more-accurately predict changing trends. Related technologies apply knowledge from the field of AI learning, as this process requires deep understanding of how target populations think and reason. This technology has the capacity to significantly improve the accuracy of healthcare diagnoses and to better anticipate patient safety risks in terms of prescription medicine use, the reporting of critical test results, and other factors, thus generating savings in terms of time and costs (Cheong, 2018). Furthermore, healthcare education is increasingly emphasizing the use of simulated environments in order to improve scenario-based learning and teaching efficacy. Virtual reality (VR), augmented reality (AR), and mixed reality (MR) applications help educators overcome the limitations of traditional models of education (Hsieh & Lin, 2017). Educators are now able to incorporate simulations of situations that would otherwise be difficult or impossible to experience otherwise, such as disaster scenes, in-flight medical emergencies, surgeries, emergency rescue scenarios, and gender-care scenarios, into integrated innovative-technology education strategies. Moreover, related technology applications are assisting healthcare professionals to improve their familiarity with clinical techniques, outreach and communication skills, and training. Moreover, whether applied in healthcare education and training, clinical caregiving, emergency medical units, or chronic care settings, these simulation-related, cross-disciplinary technology applications have much to contribute.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.100 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.466 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.429 Zit.