ArticleBMJ global health2025
Upscaling a regional telecardiology service to a nationwide coverage and beyond: the experience of the Telehealth Network of Minas Gerais.
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.
What it found
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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.
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.
PRECISE-ECG: Prospective Randomized Evaluation of Clinical Intelligence Support to Reduce Errors in Normal ECGs
Who cites it
8 citing papers in PubMed.
- AI-ECG for Detecting Left Ventricular Systolic Dysfunction in Chagas Disease: Diagnostic and Prognostic Value.JACC. Advances · 2026Article
- Artificial intelligence-enabled electrocardiography to triage echocardiography for structural heart disease diagnosis in a low-resource setting.American journal of preventive cardiology · 2026Article
- CODE-II: a large-scale dataset for artificial intelligence in ECG analysis.NPJ digital medicine · 2026Article
- Atrial Cardiomyopathy Detected by Electrocardiogram: Association with Stroke in a Brazilian Electronic Cohort.Arquivos brasileiros de cardiologia · 2026Article
- The Telehealth Network of Minas Gerais, Brazil: two decades of scaling and sustainability.BMJ global health · 2026Article
- Evaluation of Quality of Care in Chagas Disease Cardiomyopathy.Global heart · 2026Article
- Brazilian national telediagnosis platform: a data report for scientific research and public health improvement.Frontiers in digital health · 2026Article
- Tele-Electrocardiography and Mortality: Clinical Outcomes in Digital Electrocardiography Cohort-Data from Belo Horizonte, Brazil (CODE-BH).Global heart · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.