Dagestan Plans Digital Twin for Every Patient by 2030
Health officials say the technology could sharply reduce disease rates by shifting from reactive care to predictive, data-driven medicine.
Fatima Tamaeva, president of the Association of Mammologists and Radiologists of Dagestan and a zasluzhenny vrach respubliki (honored doctor of the republic), unveiled a long-term healthcare development strategy that includes launching Tsifrovoy Dvoynik Patsienta (Digital Twin of the Patient model) by 2030. The initiative is expected to significantly reduce disease rates in the region, according to the outlet Zori Tabasarana.
From Reactive to Proactive Medicine
At the core of the new model is a move away from reactive medicine toward proactive care. Doctors aim to anticipate health risks rather than respond after illness develops. Instead of focusing solely on purchasing advanced equipment, such as smart MRI systems, healthcare leaders plan to build a unified digital platform with deep data analytics capabilities.
According to Tamaeva, clinics of the future should evolve into integrated ecosystems, bringing together telemedicine services, laboratories and insurance providers within a single digital framework.
The Patient “Avatar”
A digital twin of a patient is envisioned as a dynamic virtual replica built using artificial intelligence, genomic analysis, diagnostic results and real-time data from sensors. In effect, it serves as an “avatar” that allows physicians to simulate different treatment options, forecast disease progression and test interventions without putting the real patient at risk. That capability is considered critical for advancing personalized medicine.
Earlier, we reported that in Russia’s Orenburg region, one in ten teachers has been equipped with Assistenta Prepodavatelya (Teacher’s Assistant), a digital twin that drafts lesson plans and analyzes materials while educators work with students.
