About the product

Subsystem for organizing medical care by obstetric-gynecological and neonatological profiles, which forms a centralized register for all pregnancies and outcomes with automatic division into risk groups based on a scale of risk groups of pregnant women.

Opportunities

Automates the work of medical specialists in the management of a patient's pregnancy, delivery, as well as the work of medical neonatologists.

  • Questionnaires to identify perinatal risk;
  • Automatic calculation of the gestational age;
  • Calculation of risk group on three scales: based on the Radzinsky scale; 572n; risk of preterm birth;
  • Determination of the obstetric population according to Robson;
  • Dynamic Completion of a gravidogram graph based on screenings and studies during the observation period of a pregnant woman in the JV;
  • Setting standards / templates for monitoring a pregnant woman with an indication of the timing of the provision of services;
  • Completion of an individual plan for the management of a pregnant woman based on a customized template: enrolling a patient for services from the plan, adjusting the plan;
  • Notification of a doctor leading a pregnancy about a violation of the terms of medical care, assigning a high risk group to a patient;
  • Partogram with dynamic drawing of graphs based on the entered data during the period of delivery;
  • Filling in the specifics of the newborn from the specifics of childbirth;
  • Automatic sending of a notification to the user if blood loss is 1000 ml or more;

Effects

  • Monitoring of all pregnant and postpartum women in the tiered structure of the health care system for early detection of pregnancy and foetal abnormalities;
  • View and manage all outpatient and inpatient cases, consultations, laboratory and functional tests in a unified function;
  • Creation of an electronic database to collect information on all pregnant women at regional level from the time of registration in the antenatal clinic until delivery;
  • Maintaining a unified database of information on births, which allows you to trace a person's medical history from birth Data analytics;
  • Decrease in maternal and perinatal losses;
  • Monitor high-risk patients, taking into account comorbidities and chronic diseases, so that pregnant women in this group can be specifically monitored and arrangements made for hospital admission if necessary;
  • Control of the timing of the provision of services.