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Objective  To present and validate a multifunctional electronic medical record (EMR) for outpatient care to women with endocrine disorders in pregnancy and to compare health information data fill rate to conventional medical records. Methods  We developed an EMR named Ambulatory of Endocrine Disease...

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Autores principales: Feitosa, Alina Coutinho Rodrigues, Ávila, Amado Nizarala de
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Thieme Revinter Publicações Ltda. 2016
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316957/
https://www.ncbi.nlm.nih.gov/pubmed/26814689
http://dx.doi.org/10.1055/s-0035-1570109
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author Feitosa, Alina Coutinho Rodrigues
Ávila, Amado Nizarala de
author_facet Feitosa, Alina Coutinho Rodrigues
Ávila, Amado Nizarala de
author_sort Feitosa, Alina Coutinho Rodrigues
collection PubMed
description Objective  To present and validate a multifunctional electronic medical record (EMR) for outpatient care to women with endocrine disorders in pregnancy and to compare health information data fill rate to conventional medical records. Methods  We developed an EMR named Ambulatory of Endocrine Diseases in Pregnancy (AMBEG) for systematic registration of health information The AMBEG was used for obstetric and endocrine care in a sample of pregnant women admitted to the maternity reference in high-risk pregnancies in Bahia from January 2010 to December 2013. We randomly selected 100 patients accompanied with AMBEG and 100 patients monitored with conventional consultation and compared the health information data fill rate of the electronic consultation to that performed using conventional medical records. Results  1461 consultations were held, of which 253, 963 and 245 were first, follow-up and puerperium consultations, respectively. Most patients were pregnant women with diabetes (77.2%) and 60.1% were women with pre-gestational diabetes. The AMBEG satisfactorily replaced the conventional medical record. The percentage of registered information was significantly higher in the AMBEG: clinical symptoms (87% versus 100, p  < 0.01), uterine height (89 versus 75%, p  = 0.01), total weight gain (91 versus 40%, p  < 0.01) and specific diabetes data (diet, insulin regimen, glycemic control and management of hypoglycemia) revealed a significant difference ( p  < 0.01). The ability to export data to worksheets greatly facilitated and accelerated the statistical analysis of the data. Conclusions  AMBEG is a useful tool in clinical care for women with endocrine diseases during pregnancy. The fill rate of clinical information was superior to that registered in conventional medical records.
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spelling pubmed-103169572023-07-27 Feitosa, Alina Coutinho Rodrigues Ávila, Amado Nizarala de Rev Bras Ginecol Obstet Objective  To present and validate a multifunctional electronic medical record (EMR) for outpatient care to women with endocrine disorders in pregnancy and to compare health information data fill rate to conventional medical records. Methods  We developed an EMR named Ambulatory of Endocrine Diseases in Pregnancy (AMBEG) for systematic registration of health information The AMBEG was used for obstetric and endocrine care in a sample of pregnant women admitted to the maternity reference in high-risk pregnancies in Bahia from January 2010 to December 2013. We randomly selected 100 patients accompanied with AMBEG and 100 patients monitored with conventional consultation and compared the health information data fill rate of the electronic consultation to that performed using conventional medical records. Results  1461 consultations were held, of which 253, 963 and 245 were first, follow-up and puerperium consultations, respectively. Most patients were pregnant women with diabetes (77.2%) and 60.1% were women with pre-gestational diabetes. The AMBEG satisfactorily replaced the conventional medical record. The percentage of registered information was significantly higher in the AMBEG: clinical symptoms (87% versus 100, p  < 0.01), uterine height (89 versus 75%, p  = 0.01), total weight gain (91 versus 40%, p  < 0.01) and specific diabetes data (diet, insulin regimen, glycemic control and management of hypoglycemia) revealed a significant difference ( p  < 0.01). The ability to export data to worksheets greatly facilitated and accelerated the statistical analysis of the data. Conclusions  AMBEG is a useful tool in clinical care for women with endocrine diseases during pregnancy. The fill rate of clinical information was superior to that registered in conventional medical records. Thieme Revinter Publicações Ltda. 2016-01 /pmc/articles/PMC10316957/ /pubmed/26814689 http://dx.doi.org/10.1055/s-0035-1570109 Text en Federação Brasileira de Ginecologia e Obstetrícia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. ( https://creativecommons.org/licenses/by/4.0/ ) https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Feitosa, Alina Coutinho Rodrigues
Ávila, Amado Nizarala de
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316957/
https://www.ncbi.nlm.nih.gov/pubmed/26814689
http://dx.doi.org/10.1055/s-0035-1570109