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

  • 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
  • *Corresponding author for this work
    • Fraunhofer Institute for Material Flow and Logistics (IML)
    • University of Göttingen
    • University of Valencia
    • University of Trento (UNITN)
    • NUNSYS S.L
    • Istanbul Technical University
    • TU Dortmund University
    • Materna Information & Communications SE
    • Fraunhofer-Chalmers Centre for Industrial Mathematics
    • Kuopio University Hospital
    • University of Eastern Finland
    • University of Modena and Reggio Emilia
    • Bern University Hospital
    • Hospital Universitari i Politècnic La Fe (HULAFE)
    • ATOS Information Technology GmbH
    • National and Kapodistrian University of Athens
    • Centre Suisse d'Electronique et de Microtechnique S.A. (CSEM)

    Research output: Contribution to journalArticleScientificpeer-review

    507 Downloads (Pure)

    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.
    Original languageEnglish
    Article number961
    JournalHealthcare
    Volume9
    Issue number8
    DOIs
    Publication statusPublished - 29 Jul 2021
    MoE publication typeA1 Journal article-refereed

    Keywords

    • COVID-19
    • artificial intelligence
    • uses cases
    • European hospitals
    • benefits

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