Ministry of Health of the Republic of Sakha (Yakutia) automates monitoring of pregnant women

In medical institutions of the capital of the Republic of Sakha, the implementation of the RISAR system has automated the processes of planning observations and measures for pregnant women depending on the term of pregnancy and on the basis of standards for the provision of medical obstetric care, monitoring the implementation of the treatment plan and calculating the expected date of birth, the press service of the system developer, KORUS Consulting, said on December 24, 2012.

Tasks

The purpose of the system is to improve the quality and accessibility of health care, reduce maternal, infant and perinatal mortality rates, and reduce the disability of women and children. One of the main results of the project is the implementation of an algorithm for automatically calculating the degree of perinatal risk of not carrying a pregnancy and automatically dividing patients by the degrees of risk of miscarriage, as well as a clear distinction between risk groups for doctors.

Tatyana Pavlova, chief obstetrician-gynecologist of the Republic of Sakha (Yakutia), noted the importance of this project for the region: "The main task of modern obstetrics in general, and our republic in particular, is to provide high-quality medical care to women during pregnancy, childbirth and the postpartum period. Pregnant women who fall into the high-risk group for one reason or another are becoming more and more, and the time allocated to work with each patient is reduced. At the same time, it is especially important to determine in a timely manner whether a pregnant woman belongs to a risk group, assign her all the necessary examinations and measures to prevent complications, and monitor her condition. We decided to call for help with modern information technologies and introduce a maternity monitoring system in our region. We sincerely hope that this system will be able to both facilitate the work of doctors and improve the quality of care for pregnant women. "

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