Evidence map›Paper›PMID 40520214›Full record

ArticleFrontiers in digital health2025

Greening healthcare and slashing carbon emissions through telemedicine: a cross-sectional study from over 50 thousand remote consults at a leading tertiary hospital.

Roberto Nunes Umpierre, Rita Mattiello, Carlos André Aita Schmitz, Enrique Falceto de Barros, Rodolfo Souza da Silva, Marcelo Rodrigues Gonçalves, José Roberto Goldim

Abstract read
In one paragraph

Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Roberto Nunes UmpierreTelessaúdeRS-UFRGS, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Rita MattielloTelessaúdeRS-UFRGS, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Carlos André Aita SchmitzTelessaúdeRS-UFRGS, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Enrique Falceto de BarrosUniversidade de Caxias do Sul (UCS), Caxias do Sul, Brazil.
Rodolfo Souza da SilvaTelessaúdeRS-UFRGS, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Marcelo Rodrigues GonçalvesTelessaúdeRS-UFRGS, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
José Roberto GoldimFaculdade de Medicina, UFRGS, Porto Alegre, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Minimizing healthcare systems' resource footprints is crucial. To expand this focus, our objective was to assess the carbon emission reductions achievable through the introduction of telemedicine services at a prominent Brazilian tertiary hospital. Methods: This cross-section study included all patients who had remotely held appointments in a Brazilian tertiary hospital. The primary outcome was carbon emissions. The estimated carbon emissions were first calculated based on the distance between the hospital and the patient's home address. After, the calculated distance was multiplied by the amount of carbon estimated according to the type of transport used. Results: The study included 28,244 patients undergoing 52,878 remote appointments between March and December 2020, residing in 417 municipalities in Rio Grande do Sul and 80 towns in other Brazilian states. The total sum of distances and carbon gas reduction saved with the implementation of remote consultations amounted to 805,252.00 km and 939,641.94 kg of CO Discussion: Telemedicine initiatives implemented in tertiary hospitals for less than a year result in a large amount of greenhouse gas emissions saved. Telemedicine emerges as a promising strategy with significant potential to mitigate the impact on planetary health.

Indexed as

carbon footprintplanetary healthtelehealthtelemedicinetertiary hospital

Identifiers

PMID40520214
PMCPMC12162610

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.