[Electronic Medical Record for Prenatal Care of Diabetic Women]

【糖尿病妇女产前护理电子病历】

阅读:2

Abstract

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.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。