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Medicine and healthcare
14:09, 30 July 2025
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Digital Maternal Care: Russian Hospital Introduces AI Triage for Pregnant Women

A perinatal center in Yekaterinburg has implemented an AI-driven system that evaluates the condition of pregnant patients—helping clinicians prioritize care, reduce errors, and relieve staff overload.

An Algorithm That Protects Lives

In a first for Russia’s Urals Federal District, Yekaterinburg’s clinical diagnostic perinatal center has deployed a digital triage tool to assess the condition of pregnant women upon hospital admission. The system, integrated into the AI-based AIST_RAM (Regional Obstetric Monitoring) platform, delivers rapid and non-invasive health evaluations.

Upon arrival, patients are screened not only by medical staff but also by an algorithm that determines, within minutes, whether immediate attention is needed. The AI model categorizes the patient's risk level and triages them accordingly, ensuring critical cases are prioritized and routine cases are directed to scheduled services.

Functioning as a decision support system (DSS), the algorithm analyzes vital signs and clinical indicators to assign treatment priority. In high-volume clinics processing dozens or even hundreds of patients daily, this approach helps balance workloads and reduce delays in urgent care delivery.

Tangible Benefits for Patients and Staff

In practice, the system improves patient safety and care quality. Expectant mothers receive fast, accurate initial assessments with minimal stress and waiting. When urgent intervention is required, alerts are triggered instantly. For stable cases, patients proceed through the standard care process.

What makes this system unique is its focus on pregnant patients. There is no comparable solution currently deployed at medical facilities in the Urals region. This is a new kind of digital tool for clinical decision support—designed to raise the quality and safety of maternal care
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The technology also streamlines operations—cutting wait times, reducing physician burnout, and lowering the likelihood of diagnostic errors in crowded hospitals. Clinicians can better manage their workflows, while patients benefit from a sense of transparency and digital oversight.

Notably, the system is a fully Russian-developed solution, designed specifically for local clinical settings. It illustrates how digital sovereignty can translate into meaningful, patient-centered innovations.

Yekaterinburg Leads in Medical Digitalization

This initiative builds on years of healthcare tech development in the Sverdlovsk region. Over the past five years, Yekaterinburg has launched electronic prescriptions for vulnerable populations, introduced telemedicine and online consultations, employed 3D surgical planning for military veterans, and adopted domestic implant technologies.

The new triage system fits naturally into this broader digital health landscape, showing that transformation in Russian medicine is no longer a vision of the future—it’s an active, daily reality. As Yekaterinburg sets the pace, other regions may soon follow.

From Pilot to National Standard

Currently in use at a single facility, the triage tool is expected to expand. Pilot programs could launch across other Russian regions in 2026, with long-term integration into the national health IT infrastructure and public service portals.

While not globally unique, the system’s successful localization is an innovation in itself—providing low-cost, effective triage options for prenatal and maternal care. Its potential for replication extends beyond Russia to CIS countries seeking similar scalable solutions.

At its core, the system aims to reduce maternal and perinatal mortality, alleviate pressure on inpatient services, improve diagnostic accuracy, and shorten wait times. These goals align closely with Russia’s national 'Family' project, which prioritizes maternal and child health.

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