Implementation of two software models for the surveillance and the detection of errors in prescriptions for the parenteral nutrition production in a specialized Compounding Center
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Vigilância Sanitária em Debate |
Texto Completo: | https://visaemdebate.incqs.fiocruz.br/index.php/visaemdebate/article/view/1264 |
Resumo: | Introduction: Errors involving the prescription of medications are frequent in the health area, causing adverse events in hospitalized patients and economic losses in the productive process. The verification of the prescriptions, which must be elaborated in a complete and legible way, is of great importance in surveillance and prevention of errors. Objective: The objective of this work was to analyze the results of the implementation of two computational programs, Microsoft Excel for MAC version 15.27 for the preparation of electronic prescription, made available to the prescriber physician, and the Enterprise Resource Planning,for error alerts on the production line of parenteral nutritions, in the period 2006 to 2015. Method: The method used was based on a case study, conducted through a longitudinal survey of primary data, of an exploratory and descriptive nature, with participant observation in the implementation of software in a specialize Compounding Center. Results: In the year 2015, 39.5% of the prescriptions were sent through fax or email. However, such prescriptions received a number of Occurrences of Potential Errors (OPE) of 97.9%. Conclusions: The software of production proved to be an important tool of quality, especially in the production of PN for newborns, since it was identified the prevalence of alerts of prescription errors, in the proportion of 1.7 alerts for each elaborated prescription. |
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Implementation of two software models for the surveillance and the detection of errors in prescriptions for the parenteral nutrition production in a specialized Compounding CenterImplantação de dois modelos de programas computacionais para vigilância e detecção de erros em prescrições na produção de nutrição parenteral em uma farmácia de manipulação especializadaElectronic PrescriptionProductionParenteral NutritionAlertPrescrição EletrônicaProduçãoNutrição ParenteralAlertaIntroduction: Errors involving the prescription of medications are frequent in the health area, causing adverse events in hospitalized patients and economic losses in the productive process. The verification of the prescriptions, which must be elaborated in a complete and legible way, is of great importance in surveillance and prevention of errors. Objective: The objective of this work was to analyze the results of the implementation of two computational programs, Microsoft Excel for MAC version 15.27 for the preparation of electronic prescription, made available to the prescriber physician, and the Enterprise Resource Planning,for error alerts on the production line of parenteral nutritions, in the period 2006 to 2015. Method: The method used was based on a case study, conducted through a longitudinal survey of primary data, of an exploratory and descriptive nature, with participant observation in the implementation of software in a specialize Compounding Center. Results: In the year 2015, 39.5% of the prescriptions were sent through fax or email. However, such prescriptions received a number of Occurrences of Potential Errors (OPE) of 97.9%. Conclusions: The software of production proved to be an important tool of quality, especially in the production of PN for newborns, since it was identified the prevalence of alerts of prescription errors, in the proportion of 1.7 alerts for each elaborated prescription.Introdução: Os erros envolvendo a prescrição de medicamentos são frequentes na área da saúde, causando eventos adversos em pacientes hospitalizados e perdas econômicas no processo produtivo. A verificação das prescrições possui grande importância na vigilância e prevenção de erros, que devem ser elaboradas de forma completa e legível. Objetivo: Analisar os resultados da implantação de dois programas computacionais: o Microsoft® Excel para Mac Versão 15.27, para elaboração de prescrição eletrônica, disponibilizada para o médico prescritor, e o Enterprise Resource Planning, para os alertas de erros na linha de produção de nutrições parenterais, no período de 2006 a 2015. Método: Estudo de caso, realizado por meio de um levantamento longitudinal de dados primários, de natureza exploratória e descritiva, com observação participante na implantação dos programas computacionais em uma farmácia de manipulação especializada. Resultados: No ano de 2015, 39,5% das prescrições foram enviadas por meio de fax ou e-mail, porém para tais prescrições recebidas o número de Ocorrências de Erros Potenciais (OEP) foi de 97,9%. Conclusões: O programa computacional de produção demonstrou ser uma importante ferramenta de qualidade, principalmente na produção de NP para recém-nascidos, visto que identificou a prevalência de alertas de erros em prescrições, na proporção de 1,7 alerta para cada prescrição elaborada.Instituto Nacional de Controle de Qualidade em Saúde2019-06-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion"Peer-reviewed article""Artículo revisado por pares""Artigo avaliado pelos pares"application/pdfapplication/pdfhttps://visaemdebate.incqs.fiocruz.br/index.php/visaemdebate/article/view/126410.22239/2317-269x.01264Health Surveillance under Debate: Society, Science & Technology ; Vol. 7 No. 2 (2019): May; 9-17Vigilancia en Salud en Debate: Sociedad, Ciencia y Tecnología; Vol. 7 Núm. 2 (2019): Puede; 9-17Vigil Sanit Debate, Rio de Janeiro; v. 7 n. 2 (2019): Maio; 9-172317-269Xreponame:Vigilância Sanitária em Debateinstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZporenghttps://visaemdebate.incqs.fiocruz.br/index.php/visaemdebate/article/view/1264/1020https://visaemdebate.incqs.fiocruz.br/index.php/visaemdebate/article/view/1264/1077Copyright (c) 2019 Vigilância Sanitária em Debate: Sociedade, Ciência & Tecnologia (Health Surveillance under Debate: Society, Science & Technology) – Visa em Debatehttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessRafael, Deivid NogueiraAquino, Simone2023-06-27T15:11:12Zoai:ojs.visaemdebate.incqs.fiocruz.br:article/1264Revistahttps://visaemdebate.incqs.fiocruz.br/index.php/visaemdebatePUBhttps://visaemdebate.incqs.fiocruz.br/index.php/visaemdebate/oaiincqs.visaemdebate@fiocruz.br || gisele.neves@fiocruz.br2317-269X2317-269Xopendoar:2023-06-27T15:11:12Vigilância Sanitária em Debate - Fundação Oswaldo Cruz (FIOCRUZ)false |
dc.title.none.fl_str_mv |
Implementation of two software models for the surveillance and the detection of errors in prescriptions for the parenteral nutrition production in a specialized Compounding Center Implantação de dois modelos de programas computacionais para vigilância e detecção de erros em prescrições na produção de nutrição parenteral em uma farmácia de manipulação especializada |
title |
Implementation of two software models for the surveillance and the detection of errors in prescriptions for the parenteral nutrition production in a specialized Compounding Center |
spellingShingle |
Implementation of two software models for the surveillance and the detection of errors in prescriptions for the parenteral nutrition production in a specialized Compounding Center Rafael, Deivid Nogueira Electronic Prescription Production Parenteral Nutrition Alert Prescrição Eletrônica Produção Nutrição Parenteral Alerta |
title_short |
Implementation of two software models for the surveillance and the detection of errors in prescriptions for the parenteral nutrition production in a specialized Compounding Center |
title_full |
Implementation of two software models for the surveillance and the detection of errors in prescriptions for the parenteral nutrition production in a specialized Compounding Center |
title_fullStr |
Implementation of two software models for the surveillance and the detection of errors in prescriptions for the parenteral nutrition production in a specialized Compounding Center |
title_full_unstemmed |
Implementation of two software models for the surveillance and the detection of errors in prescriptions for the parenteral nutrition production in a specialized Compounding Center |
title_sort |
Implementation of two software models for the surveillance and the detection of errors in prescriptions for the parenteral nutrition production in a specialized Compounding Center |
author |
Rafael, Deivid Nogueira |
author_facet |
Rafael, Deivid Nogueira Aquino, Simone |
author_role |
author |
author2 |
Aquino, Simone |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Rafael, Deivid Nogueira Aquino, Simone |
dc.subject.por.fl_str_mv |
Electronic Prescription Production Parenteral Nutrition Alert Prescrição Eletrônica Produção Nutrição Parenteral Alerta |
topic |
Electronic Prescription Production Parenteral Nutrition Alert Prescrição Eletrônica Produção Nutrição Parenteral Alerta |
description |
Introduction: Errors involving the prescription of medications are frequent in the health area, causing adverse events in hospitalized patients and economic losses in the productive process. The verification of the prescriptions, which must be elaborated in a complete and legible way, is of great importance in surveillance and prevention of errors. Objective: The objective of this work was to analyze the results of the implementation of two computational programs, Microsoft Excel for MAC version 15.27 for the preparation of electronic prescription, made available to the prescriber physician, and the Enterprise Resource Planning,for error alerts on the production line of parenteral nutritions, in the period 2006 to 2015. Method: The method used was based on a case study, conducted through a longitudinal survey of primary data, of an exploratory and descriptive nature, with participant observation in the implementation of software in a specialize Compounding Center. Results: In the year 2015, 39.5% of the prescriptions were sent through fax or email. However, such prescriptions received a number of Occurrences of Potential Errors (OPE) of 97.9%. Conclusions: The software of production proved to be an important tool of quality, especially in the production of PN for newborns, since it was identified the prevalence of alerts of prescription errors, in the proportion of 1.7 alerts for each elaborated prescription. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-06-03 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion "Peer-reviewed article" "Artículo revisado por pares" "Artigo avaliado pelos pares" |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://visaemdebate.incqs.fiocruz.br/index.php/visaemdebate/article/view/1264 10.22239/2317-269x.01264 |
url |
https://visaemdebate.incqs.fiocruz.br/index.php/visaemdebate/article/view/1264 |
identifier_str_mv |
10.22239/2317-269x.01264 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://visaemdebate.incqs.fiocruz.br/index.php/visaemdebate/article/view/1264/1020 https://visaemdebate.incqs.fiocruz.br/index.php/visaemdebate/article/view/1264/1077 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Instituto Nacional de Controle de Qualidade em Saúde |
publisher.none.fl_str_mv |
Instituto Nacional de Controle de Qualidade em Saúde |
dc.source.none.fl_str_mv |
Health Surveillance under Debate: Society, Science & Technology ; Vol. 7 No. 2 (2019): May; 9-17 Vigilancia en Salud en Debate: Sociedad, Ciencia y Tecnología; Vol. 7 Núm. 2 (2019): Puede; 9-17 Vigil Sanit Debate, Rio de Janeiro; v. 7 n. 2 (2019): Maio; 9-17 2317-269X reponame:Vigilância Sanitária em Debate instname:Fundação Oswaldo Cruz (FIOCRUZ) instacron:FIOCRUZ |
instname_str |
Fundação Oswaldo Cruz (FIOCRUZ) |
instacron_str |
FIOCRUZ |
institution |
FIOCRUZ |
reponame_str |
Vigilância Sanitária em Debate |
collection |
Vigilância Sanitária em Debate |
repository.name.fl_str_mv |
Vigilância Sanitária em Debate - Fundação Oswaldo Cruz (FIOCRUZ) |
repository.mail.fl_str_mv |
incqs.visaemdebate@fiocruz.br || gisele.neves@fiocruz.br |
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1797042045336944640 |