Designing a Software for Registry of Pregnant Women With Heart Disease in Iran and Preliminary Results Publisher



M Kalani MAHDI ; F Mahdikhoshouei FATEME ; P Bahrami PARVIN ; As Khajouei Amirreza SAJJADIEH ; M Movahedi MINOO ; S Mehdipour SHIMA ; Mr Habibabadi Marzieh REZVANI
Source: Journal of Medical Signals and Sensors Published:2025

Abstract

Abstract: 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. © 2025 Elsevier B.V., All rights reserved.