区域剖宫产登记«c -登记»-以斯维尔德洛夫斯克地区为例的产科手术数字化经验

N. Ankudinov, N. Zilber
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引用次数: 0

摘要

介绍。剖腹产是世界上最常见的外科手术之一,其频率持续增加,特别是在发展中国家和发达国家。虽然剖腹产可以挽救生命,但通常在没有医学指征的情况下进行,使妇女及其子女在短期或长期内面临高发病率的风险。的目标。建立所有剖宫产手术的单一数字区域数据库。实现医疗机构在线分析的自动化。对产科手术干预进行持续在线监测。材料和方法。决定在斯维尔德洛夫斯克地区开发和引入剖宫产区域登记系统“剖宫产登记系统”,作为“区域产科监测”自动化信息系统(AIST“RAM”)的结构和功能模块。该系统的目标是提高孕妇的医疗保健质量,改进支持产科手术医疗决策的系统,以及自动化分析产科护理机构的活动,包括罗布森分类。结果。AIST«RAM»允许从电子病历中收集剖宫产的数据。这些信息是在引入登记册之前收集的,为支持产科手术医疗决策的自动化分析和系统的实施提供了可能性。结论。“剖宫产登记”通过在线提供以前分娩的信息,使医生能够迅速就妊娠和分娩管理作出正确和安全的决定,有助于减少重复剖宫产的百分比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regional caesarean section register «C-Register» – experience of digitalization of operative obstetrics on the example of the Sverdlovsk region
Introduction. Caesarean section is one of the most common surgical procedures in the world and its frequency continues to increase, especially in developing and developed countries. While caesarean section can save lives, it is often performed without medical indications, putting women and their children at risk of high morbidity in the short or long term. Aim. To create a single digital regional database of all caesarean section procedures. To automatize the analysis of medical organizations in online format. To conduct a continuous online monitoring of surgical interventions in obstetrics. Materials and methods. It was decided to develop and introduce the regional register of cesarean sections «CesRegister» in the Sverdlovsk region as a structural and functional module of the automated information system «Regional Obstetric Monitoring» (AIST «RAM»). The goal of the system is to improve the quality of medical care for pregnant women and improve the systems for supporting medical decision-making in the operational obstetrics as well as to automatize the analytics of obstetric care institutions activities, including the Robson classification. Results. AIST «RAM» allowed to collect the data on caesarian sections performed from the electronic medical records. This information, collected before the introduction of the register, provided the possibility of automated analytics and implementation of the systems for supporting medical decision-making in the operational obstetrics. Conclusions. «CesRegister» can help to reduce the percentage of repeated cesarean sections by providing information about previous births online and enabling doctors to quickly make the right and safe decision on the management of pregnancy and childbirth.
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