Περίληψη:
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.
Συγγραφείς:
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.
