Evidence map›Paper›PMID 39828428›Full record

ArticleBMJ global health2025

Upscaling a regional telecardiology service to a nationwide coverage and beyond: the experience of the Telehealth Network of Minas Gerais.

Clara Rodrigues Alves Oliveira, Gabriela Miana de Mattos Paixão, Vinicius Carvalho Tostes, Paulo Rodrigues Gomes, Mayara Santos Mendes, Maria Cristina Paixão, Milena Soriano Marcolino, Antonio Luiz Pinho Ribeiro

Registry-linked trialAbstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07179185 (PRECISE-ECG), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT07179185 nanot yet recruitingnot on this map

PRECISE-ECG: Prospective Randomized Evaluation of Clinical Intelligence Support to Reduce Errors in Normal ECGs

TypeinterventionalSponsorFederal University of Minas GeraisRan2025 to 2025Enrolled710ConditionsElectrocardiogram, Cardiovascular AbnormalitiesArmsAI-Assisted ECG Interpretation (AI-ECG), Specialist ECG Interpretation Without AI
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

8 authors.

Clara Rodrigues Alves OliveiraDepartament of Internal Medicine, Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil claralves@gmail.com.ORCID http://orcid.org/0000-0002-9437-2344
Gabriela Miana de Mattos PaixãoDepartament of Internal Medicine, Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Vinicius Carvalho TostesDepartament of Internal Medicine, Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Paulo Rodrigues GomesTelehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Mayara Santos MendesTelehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Maria Cristina PaixãoTelehealth Center, University Hospital and Telehealth Network of Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Milena Soriano MarcolinoDepartament of Internal Medicine, Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0003-4278-3771
Antonio Luiz Pinho RibeiroDepartament of Internal Medicine, Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases are the leading cause of death globally and in Brazil. The provision of quality healthcare faces challenges due to resource scarcity and unequal distribution, particularly affecting rural areas. Telehealth strategies have shown potential to address these challenges by improving access to specialised care. The Telehealth Network of Minas Gerais (TNMG) is a large-scale Brazilian public telehealth service, established in 2005 to provide telecardiology support to primary healthcare teams. Positive outcomes led to its expansion. Currently, the TNMG provides telecardiology support for 14 out of the 27 states and 1320 municipalities in Brazil, 72.1% of those with up to 20 000 inhabitants. Between 2006 and 2024, more than 9 million ECG reports were issued by the TNMG. Operational aspects include 24/7 availability, with elective ECG reports issued in a median of 41 min 30 s (Q1=6 min 44 s, Q3=1 h 32 min 24 s) and emergency reports in 47 s (Q1=22 s, Q3=1 min 55 s). Clinical alerts notify urgent conditions, facilitating timely interventions. Synchronous eConsults service support local primary care-based physicians, promoting collaborative care. TNMG's telecardiology system has facilitated scientific and technological advancements, including machine learning applications for ECG interpretation and prognostic implications. International collaborations have expanded, with ongoing projects in Africa and partnerships with prestigious institutions worldwide. Future directions involve integrating artificial intelligence (AI) algorithms into the telecardiology service to improve efficiency and prioritise critical cases. AI offers promising opportunities for enhancing medical ECG reporting and sustaining the effectiveness of telehealth services.

Indexed as

CardiologyCardiovascular DiseasesTelemedicineBrazilElectrocardiographyHumansPrimary Health CareGlobal HealthHealth economicsHealth policyHealth systemsHealth systems evaluation

Identifiers

PMID39828428
PMCPMC11749444

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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 Socratic graph.