Klumpp, MatthiasMatthiasKlumppHintze, MarkusMarkusHintzeImmonen, M.M.ImmonenRodenas-Rigla, F.F.Rodenas-RiglaPilati, F.F.PilatiAparicio-Martínez, F.F.Aparicio-MartínezÇelebi, D.D.ÇelebiLiebig, T.T.LiebigJirstrand, M.M.JirstrandUrbann, OliverOliverUrbannHedman, M.M.HedmanLipponen, J.A.J.A.LipponenBicciato, S.S.BicciatoRadan, A.-P.A.-P.RadanValdivieso, B.B.ValdiviesoThronicke, W.W.ThronickeGunopulos, D.D.GunopulosDelgado-Gonzalo, R.R.Delgado-Gonzalo2022-10-142022-10-142021https://publica.fraunhofer.de/handle/publica/27023910.3390/healthcare90809612-s2.0-85111695963The 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 reported. 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.enartificial intelligenceuses casesEuropean Hospitalsbenefits658338journal article