Klumpp, Matthias; Hintze, Marcus; Immonen, Milla; Ródenas-Rigla, Francisco; Pilati, Francesco; Aparicio-Martínez, Fernando; Çelebi, Dilay; Liebig, Thomas; Jirstrand, Mats; Urbann, Oliver; Hedman, Marja; Lipponen, Jukka A; Bicciato, Silvio; Radan, Anda-Petronela; Valdivieso, Bernardo; Thronicke, Wolfgang; Gunopulos, Dimitrios; Delgado-Gonzalo, Ricard (2021). Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals. Healthcare, 9(8) MDPI 10.3390/healthcare9080961
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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 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.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Gynaecology |
UniBE Contributor: |
Radan, Anda-Petronela |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
2227-9032 |
Publisher: |
MDPI |
Language: |
English |
Submitter: |
Monika Zehr |
Date Deposited: |
27 Dec 2021 16:50 |
Last Modified: |
05 Dec 2022 15:59 |
Publisher DOI: |
10.3390/healthcare9080961 |
PubMed ID: |
34442098 |
Uncontrolled Keywords: |
COVID-19 European hospitals artificial intelligence benefits uses cases |
BORIS DOI: |
10.48350/163063 |
URI: |
https://boris.unibe.ch/id/eprint/163063 |
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