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Strategies for content recommendation in the Brazilian rapid response to syphilis project

Published: 29 January 2021 Publication History

Abstract

Syphilis is a Sexually Transmitted Infection (STI) which the Brazilian Ministry of Health has acknowledged an epidemic since 2016. To face such a problem, it is essential to develop and implement educational actions enhanced by information and communication technologies to qualify, train and raise awareness nationally. Considering the increasing number of Open Educational Resources developed, existing open health repositories and other digital platforms that allow interaction in the Brazilian Unified Health System (SUS) as well as the vast number of Healthcare Information Systems, it is essential to the develop solutions to efficiently and costly recommend content accordingly to the interest of health professionals and the current needs and priorities of the SUS, such as the epidemic of syphilis. This paper presents a discussion on the information systems and the data available and strategies of recommendation systems based on this scenario, integrating health surveillance, formative needs, georeference of health teams and professionals and epidemiological data to recommend content to health professionals all over the country.

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Cited By

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  • (2022)The Text Mining Technique Applied to the Analysis of Health Interventions to Combat Congenital Syphilis in Brazil: The Case of the “Syphilis No!” ProjectFrontiers in Public Health10.3389/fpubh.2022.85568010Online publication date: 30-Mar-2022

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EATIS '20: Proceedings of the 10th Euro-American Conference on Telematics and Information Systems
November 2020
388 pages
ISBN:9781450377119
DOI:10.1145/3401895
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 January 2021

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Author Tags

  1. information and communication technologies
  2. learning management systems
  3. recommendation systems
  4. unified health system

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  • Short-paper

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  • Brazilian Ministry of Health

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EATIS 2020

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Overall Acceptance Rate 17 of 64 submissions, 27%

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  • (2022)The Text Mining Technique Applied to the Analysis of Health Interventions to Combat Congenital Syphilis in Brazil: The Case of the “Syphilis No!” ProjectFrontiers in Public Health10.3389/fpubh.2022.85568010Online publication date: 30-Mar-2022

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