Designing a Software for Pregnant Women with Heart Disease in Iran

Background and aims: heart disease in pregnancy is an important health issue worldwide thatneeds precise care to improve pregnant women’s health care and reduce the maternal mortalityrate. As we know registries play an important role in the improvement of health care, so We decidedto design software to take the first step toward having a national registry for pregnant womenwith heart disease in Iran and classify them in a more effective way to reduce mismanagements.Method: Implementation: Our software has been developed on the .NET Windows platform. Thesoftware has been coded using the Visual C#.NET programming language. To ensure a streamlinedand efficient development process, we have utilized the WPF DevExpress toolkit for theuser interface. In addition, we have used a SQL-based relational database management system asthe database for our software.Design: To design and implement the software, a multidisciplinary team consisting of two experiencedcardiologists, a skilled gynecologist, and a proficient MD programmer collaboratedin a comprehensive effort. The team first carefully analyzed the patient’s medical records andconducted multiple meetings, discussing crucial information relevant to the diagnosis, treatment,and follow-up of the patients. Subsequently, based on the literature review of heart diseases inpregnancy, the team developed a comprehensive unit form for recording and storing the patients’data in the software. The form includes various important aspects such as patient history, familyhistory, physical examination, laboratory test results, sonography data, and other relevant clinicalinformation, which are securely stored as an Electronic Health Record (EHR) in the database.Function: Our software serves as a pilot for a national registry, and we have already started collectingdata using it. The software requires several inputs, including patient demographics suchas age, gender, race/ethnicity, and socioeconomic status. These factors can impact a patient’shealth outcomes and may help identify disparities in care. We also collect medical history andcomorbidities, such as past medical conditions, pregnancy history, vaccination and drug history,and any other health conditions that may impact treatment and outcomes. Cardiac disease statusis also recorded, including information on cardiac disease diagnosis, cardiac surgery, and patientclassification based on WHO and NYHA classes. In addition, laboratory and diagnostic test resultsare recorded, such as echocardiography, exercise tests, cardiac magnetic resonance image(CMR), angiography, and cardiac catheterization data, which can provide important informationfor diagnosis and treatment planning.Our software is designed to provide a comprehensive and detailed database of patient informationrelated to maternal health and heart disease during pregnancy. The software generates severaloutputs that can be used to identify areas for improvement in patient care, develop targeted interventionsfor high-risk patients, and provide valuable data for clinical trials and research studies,as well as AI technology.Results: Since the launch of the software, information for ۵۰۰ pregnant women with heart diseasehas been entered. The most common types of heart disease in order were congenital heart disease,prosthetic heart valves, valvular disease, and cardiomyopathies.Conclusion: In conclusion, the software developed by our team provides a comprehensive andefficient tool for managing patients with heart disease in pregnancy. The use of this software canhelp identify high-risk patients early on, leading to better patient outcomes and ultimately contributingto the global goal of reducing the maternal mortality rate. In the field of pregnant women with heart disease, gathering large and accurate data over time can be utilized in AI for analysis.

کلیدواژه ها:

Pregnancy ، Heart disease ، Software ، Artificial intelligence ، Pregnancy registry ، maternal mortality rate