ArticleFrontiers in digital health2021
COVID-19 in Brazil-Preliminary Analysis of Response Supported by Artificial Intelligence in Municipalities.
Article in Frontiers in digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.
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.
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Who cites it
10 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies.Journal of medical Internet research · 2024Pooled it
- General Characteristics and Design Taxonomy of Chatbots for COVID-19: Systematic Review.Journal of medical Internet research · 2024Pooled it
- How Far Can Conversational Agents Contribute to IBD Patient Health Care-A Review of the Literature.Frontiers in public health · 2022Pooled it
- Using artificial intelligence to analyze violence against women in São Paulo.Revista de saude publica · 2026Article
- AI and digital health for childhood cancer care in Ghana.Communications medicine · 2025Article
- Critical activities for successful implementation and adoption of AI in healthcare: towards a process framework for healthcare organizations.Frontiers in digital health · 2025Article
- Harnessing AI for public health: India's roadmap.Frontiers in public health · 2024Article
- A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design.PloS one · 2024Review
- Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review.NPJ digital medicine · 2022Article
- Artificial Intelligence Applications in Health Care Practice: Scoping Review.Journal of medical Internet research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The novel coronavirus disease (COVID-19) forced rapid adaptations in the way healthcare is delivered and coordinated by health systems. Brazil has a universal public health system (Sistema Unico de Saúde-SUS), being the main source of care for 75% of the population. Therefore, a saturation of the system was foreseen with the continuous increase of cases. The use of Artificial Intelligence (AI) to empower telehealth could help to tackle this by increasing a coordinated patient access to the health system. In the present study we describe a descriptive case report analyzing the use of Laura Digital Emergency Room-an AI-powered telehealth platform-in three different cities. It was computed around 130,000 interactions made by the chatbot and 24,162 patients completed the digital triage. Almost half (44.8%) of the patients were classified as having mild symptoms, 33.6% were classified as moderate and only 14.2% were classified as severe. The implementation of an AI-powered telehealth to increase accessibility while maintaining safety and leveraging value amid the unprecedent impact of the COVID-19 pandemic was feasible in Brazil and may reduce healthcare overload. New efforts to yield sustainability of affordable and scalable solutions are needed to truly leverage value in health care systems, particularly in the context of middle-low-income countries.
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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 OpenQuestion graph.