Evidence map›Paper›PMID 38147852›Full record

ReviewYearbook of medical informatics2023

Leveraging Data and Technology to Enhance Interdisciplinary Collaboration and Health Outcomes.

Oscar Tamburis, Arriel Benis, Section Editors for the IMIA Yearbook Special Topic Section on Informatics for One Health

Abstract readReview
In one paragraph

Review in Yearbook of medical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Returning value to the community through the All of Us Research Program Data Sandbox model.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  3. Informatics for One Health.Yearbook of medical informatics · 2023
    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

3 authors.

Oscar TamburisInstitute of Biostructures and Bioimaging, National Research Council, Naples, Italy.
Arriel BenisDepartment of Digital Medical Technologies, Holon Institute of Technology, Israel.
Section Editors for the IMIA Yearbook Special Topic Section on Informatics for One Health

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo give an overview of recent research and propose a selection of best papers published in 2022 in Informatics for One Health.

methodsAn 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.

resultsThe 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.

conclusionThe 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.

Indexed as

Artificial IntelligenceMedical InformaticsDigital TechnologyEcosystemOutcome Assessment, Health Care

Identifiers

PMID38147852
PMCPMC10751125

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.