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Artificial Intelligence for Hospital Health Care:Application Cases and Answers to Challenges in European Hospitals
- Source :
- 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, J A, Bicciato, S, Radan, A-P, Valdivieso, B, Thronicke, W, Gunopulos, D & Delgado-Gonzalo, R 2021, ' Artificial Intelligence for Hospital Health Care : Application Cases and Answers to Challenges in European Hospitals ', Healthcare, vol. 9, no. 8, 961 . https://doi.org/10.3390/healthcare9080961, Healthcare, r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe, instname, Volume 9, Issue 8, Healthcare, Vol 9, Iss 961, p 961 (2021), 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
- Publication Year :
- 2021
-
Abstract
- 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.
- Subjects :
- Coronavirus disease 2019 (COVID-19)
Leadership and Management
Data management
media_common.quotation_subject
610 Medicine & health
Health Informatics
Article
03 medical and health sciences
0302 clinical medicine
Health Information Management
SDG 3 - Good Health and Well-being
Pandemic
Health care
Data Protection Act 1998
Use case
030212 general & internal medicine
media_common
business.industry
Health Policy
COVID-19
benefits
artificial intelligence
European hospitals
uses cases
Artificial intelligence
Benefits
Uses cases
Medicine
Applications of artificial intelligence
business
030217 neurology & neurosurgery
Diversity (politics)
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Database :
- OpenAIRE
- Journal :
- 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, J A, Bicciato, S, Radan, A-P, Valdivieso, B, Thronicke, W, Gunopulos, D & Delgado-Gonzalo, R 2021, ' Artificial Intelligence for Hospital Health Care : Application Cases and Answers to Challenges in European Hospitals ', Healthcare, vol. 9, no. 8, 961 . https://doi.org/10.3390/healthcare9080961, Healthcare, r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe, instname, Volume 9, Issue 8, Healthcare, Vol 9, Iss 961, p 961 (2021), 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 <http://dx.doi.org/10.3390/healthcare9080961>
- Accession number :
- edsair.doi.dedup.....ed05b22fcec78a21341537675e31ef20