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

Articolo
Data di Pubblicazione:
2021
Citazione:
Artificial intelligence for hospital health care: Application cases and answers to challenges in european hospitals / Klumpp, M., Hintze, M., Immonen, M., Rodenas-Rigla, F., Pilati, F., Aparicio-Martinez, F., Celebi, 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.. - In: HEALTHCARE. - ISSN 2227-9032. - 9:8(2021), pp. 961-985. [10.3390/healthcare9080961]
Abstract:
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.
Tipologia CRIS:
Articolo su rivista
Keywords:
Artificial intelligence; Benefits; COVID-19; European hospitals; Uses cases
Elenco autori:
Klumpp, M.; Hintze, M.; Immonen, M.; Rodenas-Rigla, F.; Pilati, F.; Aparicio-Martinez, F.; Celebi, 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.
Autori di Ateneo:
BICCIATO Silvio
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1252757
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1252757/363317/Klumpp_et_al_Healthcare_2021.pdf
Pubblicato in:
HEALTHCARE
Journal
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