Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals.
JSON
Klumpp M, Hintze M, Immonen M, Ródenas-Rigla F, Pilati F, Aparicio-Martínez F, Çelebi D, Liebig T, Jirstrand M, Urbann O, Hedman M, Lipponen JA, Bicciato S, Radan AP, Valdivieso B, Thronicke W, Gunopulos D, Delgado-Gonzalo R
Healthcare (Basel) 9 (8) - [2021-07-29; online 2021-07-29]
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.
PubMed 34442098
DOI 10.3390/healthcare9080961
Crossref 10.3390/healthcare9080961
pii: healthcare9080961
pmc: PMC8393951