Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals

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dc.contributor.authorKlumpp, Matthias
dc.contributor.authorHintze, Marcus
dc.contributor.authorImmonen, Milla
dc.contributor.authorRódenas-Rigla, Francisco
dc.contributor.authorPilati, Francesco
dc.contributor.authorAparicio-Martínez, Fernando
dc.contributor.authorÇelebi, Dilay
dc.contributor.authorLiebig, Thomas
dc.contributor.authorJirstrand, Mats
dc.contributor.authorUrbann, Oliver
dc.contributor.authorHedman, Marja
dc.contributor.authorLipponen, Jukka A.
dc.contributor.authorBicciato, Silvio
dc.contributor.authorRadan, Anda-Petronela
dc.contributor.authorValdivieso, Bernardo
dc.contributor.authorThronicke, Wolfgang
dc.contributor.authorGunopulos, Dimitrios
dc.contributor.authorDelgado-Gonzalo, Ricard
dc.date.accessioned2022-02-14T16:59:22Z
dc.date.available2022-02-14T16:59:22Z
dc.date.issued2021-07-29
dc.description.abstractThe 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.
dc.identifier.citationHealthcare, vol. 9 (8), pp. 961
dc.identifier.doi10.3390/healthcare9080961
dc.identifier.issn2227-9032
dc.identifier.urihttps://hdl.handle.net/20.500.12839/534
dc.identifier.urlhttps://www.mdpi.com/2227-9032/9/8/961
dc.titleArtificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals
dc.typeJournal Article
dc.type.csemdivisionsBU-D
dc.type.csemresearchareasData & AI
dc.type.csemresearchareasIoT & Vision
dc.type.csemresearchareasDigital Health
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