Bures Dominik, Hosters Bernadette, Reibel Thomas, Jovy-Klein Florian, Schramm Johanna, Brendt-Müller Jennifer, Sander Jil, Diehl Anke
Stabsstelle Digitale Transformation, Universitätsmedizin Essen, Hufelandstr. 55, 45147, Essen, Deutschland.
Stabsstelle Entwicklung und Forschung Pflege, Universitätsmedizin Essen, Essen, Deutschland.
Inn Med (Heidelb). 2023 Nov;64(11):1025-1032. doi: 10.1007/s00108-023-01597-9. Epub 2023 Oct 18.
Rapid advances in digital technology and the promising potential of artificial intelligence (AI) are changing our everyday lives and have already impacted on hospital procedures. The use of AI applications, in particular, enables a wide range of possible uses and has considerable potential for improving medical and nursing care. In radiological diagnostics, for example, there are already many well-researched applications for AI-based image evaluation. In this article further AI developments are presented, which can help to relieve medical staff in order to create more time for direct patient care. In addition, essential aspects regarding the development and transfer of AI-based applications are highlighted. It is crucial that the integration of AI into medical practice is carried out with the utmost care and prudence. Data protection and ethical aspects need to be considered and respected at all times. Ensuring the reliability and integrity of AI systems is essential to earn the trust of both patients and healthcare professionals. A comprehensive inspection for possible bias within the underlying data and algorithms is indispensable. In this field of tension between promising possibilities and ethical challenges, the digital transformation in medicine and care can be designed to increase patient safety and to relieve staff.
数字技术的飞速发展以及人工智能（AI）的巨大潜力正在改变我们的日常生活，并且已经对医院程序产生了影响。特别是人工智能应用的使用，带来了广泛的可能用途，在改善医疗护理方面具有巨大潜力。例如，在放射诊断中，已经有许多经过充分研究的基于人工智能的图像评估应用。本文介绍了人工智能的进一步发展，这些发展有助于减轻医务人员的负担，从而为直接的患者护理创造更多时间。此外，还强调了基于人工智能的应用开发和转移的重要方面。至关重要的是，将人工智能整合到医疗实践中要极其谨慎和审慎。数据保护和伦理方面需要始终得到考虑和尊重。确保人工智能系统的可靠性和完整性对于赢得患者和医疗专业人员的信任至关重要。对基础数据和算法中可能存在的偏差进行全面检查是必不可少的。在充满希望的可能性与伦理挑战之间的这个紧张领域，医学和护理中的数字转型可以设计成提高患者安全性并减轻工作人员负担。
