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  • 标题:Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals
  • 本地全文:下载
  • 作者:Matthias Klumpp ; Marcus Hintze ; Milla Immonen
  • 期刊名称:Healthcare
  • 电子版ISSN:2227-9032
  • 出版年度:2021
  • 卷号:9
  • 期号:8
  • DOI:10.3390/healthcare9080961
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要: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.
  • 关键词:enCOVID-19;artificial intelligence;uses cases;European hospitals;benefits
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