Relevance of information systems and data mining in the health system: urgency and emergency: urgência e emergência
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Processando o Saber (Online) |
Texto Completo: | https://fatecpg.edu.br/revista/index.php/ps/article/view/209 |
Resumo: | The information coming from data in the medical area is a challenging process, mainly due to the absence and obtaining of knowledge through them, besides the complexity in the treatment of these data. From the data, essential information is obtained for making decisions. In this perspective, information is an essential object in the health area, especially in the issue of urgency and emergency care. Data mining is the process of finding patterns and correlations in large datasets to predict results. Data mining employs a wide variety of data-driven techniques for a wide range of purposes. This study aims to evaluate if the application of data mining techniques, in the databases of hospital institutions that provide urgency and emergency, care can provide the acquisition of relevant knowledge that can be used for medical decision making. The method used to form the conclusions was deductive, since it is based on previous observations and knowledge established by the existing bibliographic repertoire. In terms of technical procedures, it was used of the bibliographic research through searches carried out in Google Scholar. The results of the research show that data mining is a promising technology, but its application in the urgency and emergency health system, in respect to decision support on health professionals, is still very low at the present time, revealing a greater targeting in systems focused on administrative areas. |
id |
FATEC-1_e9b94e1f01f77d351b1e8d92c54f0187 |
---|---|
oai_identifier_str |
oai:revista.fatecpg.edu.br:article/209 |
network_acronym_str |
FATEC-1 |
network_name_str |
Processando o Saber (Online) |
repository_id_str |
|
spelling |
Relevance of information systems and data mining in the health system: urgency and emergency: urgência e emergênciaRelevância dos sistemas de informação e mineração de dados no sistema de saúde: urgência e emergênciaDescoberta de conhecimentoTomada de decisãoUrgência e EmergênciaKnowledge discoveryDecision makingUrgency and EmergencyThe information coming from data in the medical area is a challenging process, mainly due to the absence and obtaining of knowledge through them, besides the complexity in the treatment of these data. From the data, essential information is obtained for making decisions. In this perspective, information is an essential object in the health area, especially in the issue of urgency and emergency care. Data mining is the process of finding patterns and correlations in large datasets to predict results. Data mining employs a wide variety of data-driven techniques for a wide range of purposes. This study aims to evaluate if the application of data mining techniques, in the databases of hospital institutions that provide urgency and emergency, care can provide the acquisition of relevant knowledge that can be used for medical decision making. The method used to form the conclusions was deductive, since it is based on previous observations and knowledge established by the existing bibliographic repertoire. In terms of technical procedures, it was used of the bibliographic research through searches carried out in Google Scholar. The results of the research show that data mining is a promising technology, but its application in the urgency and emergency health system, in respect to decision support on health professionals, is still very low at the present time, revealing a greater targeting in systems focused on administrative areas.A informação proveniente de dados na área médica é um processo desafiador, principalmente devido à ausência e obtenção de conhecimento por meio deles, além da complexidade no tratamento destes dados. A partir dos dados, informações essenciais são obtidas para a tomada de decisões. Nesta perspectiva, a informação é objeto imprescindível na área da saúde, sobretudo na questão do atendimento de urgência e emergência. A mineração de dados é o processo de encontrar padrões e correlações em grandes conjuntos de dados para prever resultados. A mineração de dados emprega ampla variedade de técnicas aplicadas a dados para uma ampla gama de propósitos. Este estudo tem como objetivo avaliar se a aplicação de técnicas de mineração de dados nas bases de dados de instituições hospitalares que prestam atendimento de urgência e emergência, pode proporcionar à aquisição de conhecimentos relevantes que possam ser utilizados em prol da tomada de decisão médica. O método utilizado para a formação das conclusões foi de caráter dedutivo, pois é baseado em observações e conhecimentos prévios estabelecidos pelo repertório bibliográfico existente. Em termos de procedimentos técnicos, foi utilizada uma pesquisa bibliográfica através de buscas realizadas no Google Scholar, ou Google Acadêmico. Os resultados da pesquisa revelam que a mineração de dados é uma tecnologia promissora, porém, sua aplicação no sistema de saúde de urgência e emergência, no que se refere ao apoio da tomada de decisão dos profissionais de saúde, ainda é muito baixa na atualidade, revelando um direcionamento maior em sistemas focados nas áreas administrativas.FATEC Praia Grande2020-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://fatecpg.edu.br/revista/index.php/ps/article/view/209Revista Processando o Saber; v. 12 (2020): Revista Processando o Saber; 136-1452179-5150reponame:Processando o Saber (Online)instname:Faculdades de Tecnologia do Estado de São Paulo (Fatec)instacron:FATECporhttps://fatecpg.edu.br/revista/index.php/ps/article/view/209/123Copyright (c) 2020 Revista Processando o Saberhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMarques, Ricardo David RosatellesDias, Jeferson C.Dias, Jônatas C.2021-06-09T23:07:03Zoai:revista.fatecpg.edu.br:article/209Revistahttps://www.fatecpg.edu.br/revista/index.php/ps/indexhttps://fatecpg.edu.br/revista/index.php/ps/oaifabio@fatecpg.edu.br||revista@fatecpg.com.br2179-51502179-5150opendoar:2021-06-09T23:07:03Processando o Saber (Online) - Faculdades de Tecnologia do Estado de São Paulo (Fatec)false |
dc.title.none.fl_str_mv |
Relevance of information systems and data mining in the health system: urgency and emergency: urgência e emergência Relevância dos sistemas de informação e mineração de dados no sistema de saúde: urgência e emergência |
title |
Relevance of information systems and data mining in the health system: urgency and emergency: urgência e emergência |
spellingShingle |
Relevance of information systems and data mining in the health system: urgency and emergency: urgência e emergência Marques, Ricardo David Rosatelles Descoberta de conhecimento Tomada de decisão Urgência e Emergência Knowledge discovery Decision making Urgency and Emergency |
title_short |
Relevance of information systems and data mining in the health system: urgency and emergency: urgência e emergência |
title_full |
Relevance of information systems and data mining in the health system: urgency and emergency: urgência e emergência |
title_fullStr |
Relevance of information systems and data mining in the health system: urgency and emergency: urgência e emergência |
title_full_unstemmed |
Relevance of information systems and data mining in the health system: urgency and emergency: urgência e emergência |
title_sort |
Relevance of information systems and data mining in the health system: urgency and emergency: urgência e emergência |
author |
Marques, Ricardo David Rosatelles |
author_facet |
Marques, Ricardo David Rosatelles Dias, Jeferson C. Dias, Jônatas C. |
author_role |
author |
author2 |
Dias, Jeferson C. Dias, Jônatas C. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Marques, Ricardo David Rosatelles Dias, Jeferson C. Dias, Jônatas C. |
dc.subject.por.fl_str_mv |
Descoberta de conhecimento Tomada de decisão Urgência e Emergência Knowledge discovery Decision making Urgency and Emergency |
topic |
Descoberta de conhecimento Tomada de decisão Urgência e Emergência Knowledge discovery Decision making Urgency and Emergency |
description |
The information coming from data in the medical area is a challenging process, mainly due to the absence and obtaining of knowledge through them, besides the complexity in the treatment of these data. From the data, essential information is obtained for making decisions. In this perspective, information is an essential object in the health area, especially in the issue of urgency and emergency care. Data mining is the process of finding patterns and correlations in large datasets to predict results. Data mining employs a wide variety of data-driven techniques for a wide range of purposes. This study aims to evaluate if the application of data mining techniques, in the databases of hospital institutions that provide urgency and emergency, care can provide the acquisition of relevant knowledge that can be used for medical decision making. The method used to form the conclusions was deductive, since it is based on previous observations and knowledge established by the existing bibliographic repertoire. In terms of technical procedures, it was used of the bibliographic research through searches carried out in Google Scholar. The results of the research show that data mining is a promising technology, but its application in the urgency and emergency health system, in respect to decision support on health professionals, is still very low at the present time, revealing a greater targeting in systems focused on administrative areas. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://fatecpg.edu.br/revista/index.php/ps/article/view/209 |
url |
https://fatecpg.edu.br/revista/index.php/ps/article/view/209 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://fatecpg.edu.br/revista/index.php/ps/article/view/209/123 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Revista Processando o Saber https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Revista Processando o Saber https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
FATEC Praia Grande |
publisher.none.fl_str_mv |
FATEC Praia Grande |
dc.source.none.fl_str_mv |
Revista Processando o Saber; v. 12 (2020): Revista Processando o Saber; 136-145 2179-5150 reponame:Processando o Saber (Online) instname:Faculdades de Tecnologia do Estado de São Paulo (Fatec) instacron:FATEC |
instname_str |
Faculdades de Tecnologia do Estado de São Paulo (Fatec) |
instacron_str |
FATEC |
institution |
FATEC |
reponame_str |
Processando o Saber (Online) |
collection |
Processando o Saber (Online) |
repository.name.fl_str_mv |
Processando o Saber (Online) - Faculdades de Tecnologia do Estado de São Paulo (Fatec) |
repository.mail.fl_str_mv |
fabio@fatecpg.edu.br||revista@fatecpg.com.br |
_version_ |
1797068992531136512 |