TY - JOUR
T1 - Artificial Intelligence for Hospital Health Care
T2 - Application Cases and Answers to Challenges in European Hospitals
AU - Klumpp, Matthias
AU - Hintze, Marcus
AU - Immonen, Milla
AU - Ródenas-Rigla, Francisco
AU - Pilati, Francesco
AU - Aparicio-Martínez, Fernando
AU - Çelebi, Dilay
AU - Liebig, Thomas
AU - Jirstrand, Mats
AU - Urbann, Oliver
AU - Hedman, Marja
AU - Lipponen, Jukka A.
AU - Bicciato, Silvio
AU - Radan, Anda-Petronela
AU - Valdivieso, Bernardo
AU - Thronicke, Wolfgang
AU - Gunopulos, Dimitrios
AU - Delgado-Gonzalo, Ricard
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/7/29
Y1 - 2021/7/29
N2 - 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.
AB - 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.
KW - COVID-19
KW - artificial intelligence
KW - uses cases
KW - European hospitals
KW - benefits
UR - http://www.scopus.com/inward/record.url?scp=85111695963&partnerID=8YFLogxK
U2 - 10.3390/healthcare9080961
DO - 10.3390/healthcare9080961
M3 - Article
SN - 2227-9032
VL - 9
JO - Healthcare
JF - Healthcare
IS - 8
M1 - 961
ER -