TY - JOUR
TI - Artificial intelligence for hospital health care: Application cases and answers to challenges in european hospitals
AU - Klumpp, M.
AU - Hintze, M.
AU - Immonen, M.
AU - Ródenas-Rigla, F.
AU - Pilati, F.
AU - Aparicio-Martínez, F.
AU - Çelebi, D.
AU - Liebig, T.
AU - Jirstrand, M.
AU - Urbann, O.
AU - Hedman, M.
AU - Lipponen, J.A.
AU - Bicciato, S.
AU - Radan, A.-P.
AU - Valdivieso, B.
AU - Thronicke, W.
AU - Gunopulos, D.
AU - Delgado-Gonzalo, R.
JO - Healthcare (Switzerland)
PY - 2021
VL - 9
TODO - 8
SP - null
PB - MDPI AG
SN - null
TODO - 10.3390/healthcare9080961
TODO - null
TODO - 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.
ER -