将区域性心脏病远程医疗服务扩大到覆盖全国及其他地区:米纳斯吉拉斯州远程医疗网络的经验。

IF 7.1 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
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
{"title":"将区域性心脏病远程医疗服务扩大到覆盖全国及其他地区:米纳斯吉拉斯州远程医疗网络的经验。","authors":"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","doi":"10.1136/bmjgh-2024-016692","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":9137,"journal":{"name":"BMJ Global Health","volume":"10 1","pages":""},"PeriodicalIF":7.1000,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11749444/pdf/","citationCount":"0","resultStr":"{\"title\":\"Upscaling a regional telecardiology service to a nationwide coverage and beyond: the experience of the Telehealth Network of Minas Gerais.\",\"authors\":\"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\",\"doi\":\"10.1136/bmjgh-2024-016692\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":9137,\"journal\":{\"name\":\"BMJ Global Health\",\"volume\":\"10 1\",\"pages\":\"\"},\"PeriodicalIF\":7.1000,\"publicationDate\":\"2025-01-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11749444/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMJ Global Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/bmjgh-2024-016692\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Global Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/bmjgh-2024-016692","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

摘要

心血管疾病是全球和巴西的主要死亡原因。由于资源短缺和分配不均,特别是影响到农村地区,提供高质量的医疗保健面临挑战。远程保健战略已显示出通过改善获得专门护理的机会来应对这些挑战的潜力。米纳斯吉拉斯州远程保健网络(TNMG)是巴西的一个大型公共远程保健服务机构,成立于2005年,目的是向初级保健小组提供远程心脏病学支持。积极的结果导致了它的扩张。目前,TNMG为巴西27个州中的14个州和1320个市提供心脏电病学支持,占人口不超过2万人的州的72.1%。2006年至2024年间,TNMG发布了900多万份ECG报告。操作方面包括全天候可用性,选择性心电图报告的中位数为41分30秒(Q1=6分44秒,Q3=1小时32分24秒),紧急报告的中位数为47秒(Q1=22秒,Q3=1分55秒)。临床警报通知紧急情况,促进及时干预。同步咨询结果服务支持当地初级保健医生,促进协作护理。TNMG的心脏远端系统促进了科学和技术的进步,包括用于ECG解释和预后影响的机器学习应用。国际合作已经扩大,在非洲有正在进行的项目,并与世界各地的著名机构建立了伙伴关系。未来的发展方向包括将人工智能(AI)算法集成到远程心脏病服务中,以提高效率并优先处理危重病例。人工智能为加强医疗心电图报告和维持远程保健服务的有效性提供了有希望的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Upscaling a regional telecardiology service to a nationwide coverage and beyond: the experience of the Telehealth Network of Minas Gerais.

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
BMJ Global Health
BMJ Global Health Medicine-Health Policy
CiteScore
11.40
自引率
4.90%
发文量
429
审稿时长
18 weeks
期刊介绍: BMJ Global Health is an online Open Access journal from BMJ that focuses on publishing high-quality peer-reviewed content pertinent to individuals engaged in global health, including policy makers, funders, researchers, clinicians, and frontline healthcare workers. The journal encompasses all facets of global health, with a special emphasis on submissions addressing underfunded areas such as non-communicable diseases (NCDs). It welcomes research across all study phases and designs, from study protocols to phase I trials to meta-analyses, including small or specialized studies. The journal also encourages opinionated discussions on controversial topics.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信