Kalani Mahdi, Mahdikhoshouei Fateme, Bahrami Parvin, Khajouei Amirreza Sajjadieh, Movahedi Minoo, Mehdipour Shima, Habibabadi Marzieh Rezvani
Tabiban Roshanandish Houshmand Co., Isfahan, Iran.
Department of Cardiology, Alzahra Hospital, Isfahan University of Medical Sciences, Isfahan, Iran.
J Med Signals Sens. 2025 Jul 10;15:21. doi: 10.4103/jmss.jmss_43_24. eCollection 2025.
Heart disease in pregnancy is an important health issue worldwide which needs precise care to improve pregnant women health care and reduce maternal mortality rate (MMR). As we know registries play an important role in improvement of health care, so we decided to design a software to take the first step for having a national registry for pregnant women with heart disease in Iran and classify them in a more effective way to reduce mismanagements. A windows-based software with C# language programming was designed and implemented by a group of specialists included two experienced cardiologists, a skilled gynecologist, and a proficient medical doctor programmer. Since the launch of the software, information for 500 pregnant women with heart disease has been entered. The most common types of heart disease in order were congenital heart disease, prosthetic heart valves, valvular disease, and cardiomyopathies. The software developed by our team provides a comprehensive and efficient tool for managing patients with heart disease in pregnancy. The use of this software can help identify high-risk patients early on, leading to better patient outcomes and ultimately contributing to the global goal of reducing MMR. In the field of pregnant women with heart disease, gathering large and accurate data over time can be utilized in artificial intelligence for analysis.
妊娠心脏病是一个全球性的重要健康问题，需要精准护理以改善孕妇的医疗保健并降低孕产妇死亡率（MMR）。众所周知，登记处对改善医疗保健起着重要作用，因此我们决定设计一款软件，为在伊朗建立全国妊娠心脏病妇女登记处迈出第一步，并以更有效的方式对她们进行分类，以减少管理不善的情况。一组专家设计并实现了一款基于Windows且用C#语言编程的软件，这些专家包括两位经验丰富的心脏病专家、一位技术娴熟的妇科医生以及一位精通业务的医生程序员。自该软件推出以来，已录入了500名妊娠心脏病妇女的信息。心脏病的最常见类型依次为先天性心脏病、人工心脏瓣膜、瓣膜疾病和心肌病。我们团队开发的软件为管理妊娠心脏病患者提供了一个全面且高效的工具。使用该软件有助于早期识别高危患者，从而带来更好的患者治疗效果，并最终有助于实现降低孕产妇死亡率这一全球目标。在妊娠心脏病妇女领域，随着时间的推移收集大量准确数据可用于人工智能分析。
