Evidence map›Paper›PMID 34442098›Full record

ArticleHealthcare (Basel, Switzerland)2021

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 and 8 more

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. [Artificial intelligence in hospital logistics and operational processes].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Matthias KlumppFraunhofer Institute for Material Flow and Logistics (IML), Josef-von-Fraunhofer-Str. 2-4, 44227 Dortmund, Germany.ORCID 0000-0002-7543-2751
Marcus HintzeFraunhofer Institute for Material Flow and Logistics (IML), Josef-von-Fraunhofer-Str. 2-4, 44227 Dortmund, Germany.
Milla ImmonenVTT Technical Research Centre of Finland Ltd., Kaitoväylä 1, 90571 Oulu, Finland.
Francisco Ródenas-RiglaPolibienestar Research Institute, University of Valencia, Carrer del Serpis 29, 46022 València, Spain.ORCID 0000-0003-3264-4735
Francesco PilatiDepartment of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Fernando Aparicio-MartínezNUNSYS S.L., Calle Gustave Eiffel 3, 46980 Valencia, Spain.
Dilay ÇelebiDepartment of Management Engineering, Istanbul Technical University, Macka, Beşiktaş, 34367 İstanbul, Turkey.ORCID 0000-0002-7103-3868
Thomas LiebigTU Dortmund, Artificial Intelligence Unit, Otto-Hahn-Straße 12, 44221 Dortmund, Germany.ORCID 0000-0002-9841-1101
Mats JirstrandFraunhofer-Chalmers Centre & Fraunhofer Center for Machine Learning, Chalmers Science Park, 41288 Gothenburg, Sweden.
Oliver UrbannFraunhofer Institute for Material Flow and Logistics (IML), Josef-von-Fraunhofer-Str. 2-4, 44227 Dortmund, Germany.
Marja HedmanHeart Center, Kuopio University Hospital and Institute of Clinical Medicine, University of Eastern Finland, Ritva Jauhiainen-Bruun, 70029 Kuopio, Finland.ORCID 0000-0003-1318-8287
Jukka A LipponenDepartment of Applied Physics, University of Eastern Finland, Yliopistonranta 1, 70210 Kuopio, Finland.
Silvio BicciatoInterdepartmental Center for Stem Cells and Regenerative Medicine (CIDSTEM), Department of Life Sciences, University of Modena and Reggio Emilia, Via Gottardi 100, 41125 Modena, Italy.ORCID 0000-0002-1944-7078
Anda-Petronela RadanDepartment of Obstetrics and Gynecology, University Hospital of Bern, Murtenstraße 11, 3008 Bern, Switzerland.ORCID 0000-0003-0113-2761
Bernardo ValdiviesoLa Fe University Hospital Valencia, Avinguda de Fernando Abril Martorell 106, 46026 València, Spain.
Wolfgang ThronickeATOS Information Technology GmbH, Fürstenallee 11, 33102 Paderborn, Germany.
Dimitrios GunopulosDepartment of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimioupolis, Ilisia, 15784 Athens, Greece.
Ricard Delgado-GonzaloCentre Suisse d'Électronique et de Microtechnique CSEM, Jaquet Droz 1, 2002 Neuchâtel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

artificial intelligencebenefitsCOVID-19European hospitalsuses cases

Identifiers

PMID34442098
PMCPMC8393951

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.