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

• Published in: Healthcare (Basel) Vol. 9; no. 8; p. 961
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 29-07-2021; MDPI
• Subjects: Artificial intelligence; benefits; Clinical medicine; Coronaviruses; COVID-19; Decision making; Diabetic retinopathy; Efficiency; European hospitals; Health care; Hospitals; Logistics; Medical diagnosis; Medical personnel; Pandemics; Patients; Polls & surveys; uses cases; Europe; COVID-19; benefits; European hospitals; uses cases; artificial intelligence
• ISSN: 2227-9032; 2227-9032
• DOI: 10.3390/healthcare9080961

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.