Leveraging Data and Technology to Enhance Interdisciplinary Collaboration and Health Outcomes
Summary: Objective: To give an overview of recent research and propose a selection of best papers published in 2022 in Informatics for One Health. Methods: An extensive search using PubMed and Web of Science was conducted to identify peer-reviewed articles published between December 2021 and December 2022, in order to find relevant publications in the ‘Informatics for One Health’ field. The selection process comprised three steps: (i) eight candidate best papers were first selected by the two section editors; (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper; and (iii) the editorial committee of the Yearbook conducted the final best paper selection. Results: The candidate best papers represent studies that characterized significant challenges facing Informatics for One Health. Other trends of interest related to the deployment of medical artificial intelligence tools and the implementation of the FAIR principles within the One Health broad scenario. In general, papers identified in the search fell into one of the following categories: 1) Health improvement via digital technology; 2) Climate change/Environment/Biodiversity; and 3) Maturity of healthcare services. Conclusion: The topic turns extremely important in the next future for what concerns the need to understand complex interactions in order to safeguard the health of populations and ecosystems.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Leveraging Data and Technology to Enhance Interdisciplinary Collaboration and Health Outcomes ; volume:32 ; number:01 ; year:2023 ; pages:084-088
Yearbook of medical informatics ; 32, Heft 01 (2023), 084-088
- Contributor
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Tamburis, Oscar
Benis, Arriel
- DOI
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10.1055/s-0043-1768753
- URN
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urn:nbn:de:101:1-2024020810442913478493
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:21 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Tamburis, Oscar
- Benis, Arriel