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

• Main Authors: Matthias Klumpp, Marcus Hintze, Milla Immonen, Francisco Ródenas-Rigla, Francesco Pilati, Fernando Aparicio-Martínez, Dilay Çelebi, Thomas Liebig, Mats Jirstrand, Oliver Urbann, Marja Hedman, Jukka A. Lipponen, Silvio Bicciato, Anda-Petronela Radan, Bernardo Valdivieso, Wolfgang Thronicke, Dimitrios Gunopulos, Ricard Delgado-Gonzalo
• Format: Article
• Language: English
• Published: MDPI AG 2021-07-01
• Series: Healthcare
• Subjects: COVID-19; artificial intelligence; uses cases; European hospitals; benefits
• Online Access: https://www.mdpi.com/2227-9032/9/8/961

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.