Early detection of respiratory disease outbreaks through primary healthcare data

Background: The emergence of coronavirus disease 2019 (COVID-19) highlighted the relevance of surveillance systems in detecting early signs of potential outbreaks, thus enabling public health authorities to act before the pathogen becomes widespread. Syndromic digital surveillance through web applications has played a crucial role in monitoring the spread of SARS-CoV-2. However, this approach requires expensive…

Protocol for a cluster randomised trial of a goal-oriented care approach for multimorbidity patients supported by a digital platform

INTRODUCTION: Health information systems represent an opportunity to improve the care provided to people with multimorbidity. There is a pressing need to assess their impact on clinical outcomes to validate this intervention. Our study will determine whether using a digital platform (Multimorbidity Management Health Information System, METHIS) to manage multimorbidity improves health-related quality of life…

Segmentação de Infecções Pulmonares de COVID-19 com a Rede Mask R-CNN

A COVID-19 se espalhou pelo mundo causando esgotamento de recursos médicos em vários países. Métodos computacionais que analisam imagens de infecções pulmonares podem ser utilizados para diagnóstico e estimativa da evolução dessa doença. O artigo apresenta os resultados de um modelo de aprendizagem profunda (Mask R-CNN), para segmentação automática de infecções pulmonares em tomografias computadorizadas,…

Contributions of remote collaborative sketching to the design of infovis in public health

This paper presents contributions from using remote collaborative sketching to infovis for public health. The results come from an interdisciplinary study that involved designers, health researchers, public managers and computer scientists in the production of sketches generating alternatives for creating valuable graphics and dashboards. One of the creative stages was the remote collaborative workshops in…

Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South

Objectives: The aim of this work is to demonstrate the use of a standardized health informatics framework to generate reliable and reproducible real-world evidence from Latin America and South Asia towards characterizing coronavirus disease 2019 (COVID-19) in the Global South. Materials and Methods: Patient-level COVID-19 records collected in a patient self-reported notification system, hospital in-patient…

Digitally measuring solar ultraviolet radiation in outdoor workers: A study protocol for establishing the use of electronic personal dosimeters in Portugal

Introduction: The rising incidence of skin cancer over the years has made it a significant public and occupational health issue. However, skin cancer is highly preventable, mainly through reduced exposure to solar ultraviolet radiation (UVR), which can be achieved by a variety of individual and collective protective measures and interventions. The relative risk associated with…

GISSA intelligent chatbot experience – How effective was the interaction between pregnant women and a chatbot during the COVID-19 pandemic?

Abstract: The COVID-19 increased the importance of patient’s continuous assessment of health outcomes. In 2021 WHO proposed some Digital Health guidelines arguing that health systems should consider the use of emergent technologies in health care services. This health environment is providing intelligent systems to guide patients in self-care. One example of that is the chatbot which is, a conversational agent that have been assuming an important role in how to improve health knowledge, reducing the incidence of diseases and avoiding new ones. Pregnant women are a profile where the self-care referred before is a critical issue. Prenatal services reveal to be an important part of the care process where most complications for that women happen. This article aims to comprehend how pregnant women interact with a conversational agent and how relevant this Digital Health tool is for primary health care services. The study presents the process and results of a systematic literature review about the user experience with of a chatbot in pregnant women self-care context; a summary of GISSA intelligent chatbot development including the use of technologies such as DialogFlow; and the process and results of GISSA usability evaluation in research field. Results show that a small amount of articles was gathered and the chatbot as a tool is a relevant opportunity for primary care health services in Brasil.

Estágio à docência de mestrado acadêmico em saúde da família: Utilização de tecnologias digitais

INTRODUÇÃO: A pandemia da COVID-19 modificou o ensino, tornando necessária a adequação das aulas para o ensino remoto. Com isso, o estágio à docência de uma enfermeira no Mestrado Acadêmico em Saúde da Família, buscou facilitar o processo de ensino-aprendizagem com uso de tecnologias digitais. OBJETIVO: relatar experiência na difusão de práticas de promoção docente…