6533b856fe1ef96bd12b2919
RESEARCH PRODUCT
Artificial Intelligence for Hospital Health Care:Application Cases and Answers to Challenges in European Hospitals
Dimitrios GunopulosMatthias KlumppRicard Delgado-gonzaloAnda-petronela RadanMats JirstrandWolfgang ThronickeFernando Aparicio-martínezMarcus HintzeSilvio BicciatoJukka A. LipponenOliver UrbannMilla ImmonenDilay ÇElebiMarja HedmanThomas LiebigBernardo ValdiviesoFrancisco Ródenas-riglaFrancesco Pilatisubject
Coronavirus disease 2019 (COVID-19)Leadership and ManagementData managementmedia_common.quotation_subject610 Medicine & healthHealth InformaticsArticle03 medical and health sciences0302 clinical medicineHealth Information ManagementSDG 3 - Good Health and Well-beingPandemicHealth careData Protection Act 1998Use case030212 general & internal medicine610 Medicine & healthmedia_commonbusiness.industryHealth PolicyRCOVID-19benefitsartificial intelligenceEuropean hospitalsuses casesArtificial intelligence; Benefits; COVID-19; European hospitals; Uses casesMedicine/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingArtificial intelligenceApplications of artificial intelligencebusiness030217 neurology & neurosurgeryDiversity (politics)description
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-07-29 |