Artificial intelligence for hospital health care: Application cases and answers to challenges in european hospitals

Autor: Klumpp, M. Hintze, M. Immonen, M. Ródenas-Rigla, F. Pilati, F. Aparicio-Martínez, F. Çelebi, D. Liebig, T. Jirstrand, M. Urbann, O. Hedman, M. Lipponen, J.A. Bicciato, S. Radan, A.-P. Valdivieso, B. Thronicke, W. Gunopulos, D. Delgado-Gonzalo, R.
Jazyk: angličtina
Rok vydání: 2021
Popis: The development and implementation of artificial intelligence (AI) applications in health care contexts is a concurrent research and management question. Especially for hospitals, the expectations regarding improved efficiency and effectiveness by the introduction of novel AI applications are huge. However, experiences with real-life AI use cases are still scarce. As a first step towards structuring and comparing such experiences, this paper is presenting a comparative approach from nine European hospitals and eleven different use cases with possible application areas and benefits of hospital AI technologies. This is structured as a current review and opinion article from a diverse range of researchers and health care professionals. This contributes to important improvement options also for pandemic crises challenges, e.g., the current COVID-19 situation. The expected advantages as well as challenges regarding data protection, privacy, or human acceptance are re-ported. Altogether, the diversity of application cases is a core characteristic of AI applications in hospitals, and this requires a specific approach for successful implementation in the health care sector. This can include specialized solutions for hospitals regarding human–computer interaction, data management, and communication in AI implementation projects. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Databáze: OpenAIRE