The transformative effect of artificial intelligence in hospitals : The focus is on the individual

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 impro...

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Veröffentlicht in:Innere Medizin (Heidelberg, Germany) Germany), 2023-11, Vol.64 (11), p.1025-1032
Hauptverfasser: Bures, Dominik, Hosters, Bernadette, Reibel, Thomas, Jovy-Klein, Florian, Schramm, Johanna, Brendt-Müller, Jennifer, Sander, Jil, Diehl, Anke
Format: Artikel
Sprache:ger
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Zusammenfassung: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.
ISSN:2731-7099
DOI:10.1007/s00108-023-01597-9