Project
National Healthcare Digitalization Program of the Republic of Moldova
Technical partnership in a nation‑wide programme bringing five AI domains — imaging, genomics, pharmacology, disease prediction and management — to a population of 2.36 million, on sovereign in‑country infrastructure.
Background
The National Healthcare Digitalization Program of the Republic of Moldova (2025–2030) aims to bring modern digital and AI‑assisted care to the entire population of approximately 2.36 million people. It covers five domains designed to operate in parallel: medical imaging, genetic research, pharmacology and treatment planning, disease prediction, and healthcare management.
Our role
IMPORT MEDICAL acts as a technical partner of the programme. Our responsibilities centre on the technology foundation: specifying, sourcing and importing the required equipment, providing sovereign accelerated computing capacity inside Moldova, and implementing the AI workloads that run on it.
Scope
| Domain | Scope |
|---|---|
| Medical imaging | ~350,000–400,000 CT, MRI and PET‑CT studies per year; critical‑condition triage within 5–10 minutes; nodule detection, segmentation and PET‑CT fusion |
| Genomics | Population screening of ~1% of the population (~24,000 genomes), pharmacogenomics in production, re‑analysis; expansion path to 5% |
| Pharmacology | Multimodal treatment‑planning model with parallel drug‑interaction checking |
| Disease prediction | Predictive models on EHR data, real‑time epidemiological monitoring, continuous validation |
| Management | 30–90 day medicine forecasting, stock monitoring, workforce forecasting, anomaly and fraud detection |
Key design decisions
Dedicated capacity per domain
The five workflows run simultaneously and each requires its own models in GPU memory. Sharing hardware between them would cause memory contention and service‑level violations, so each domain receives dedicated capacity, plus reserve capacity for redundancy, development and testing.
Data sovereignty
Medical data of Moldovan citizens is processed exclusively within the country. The programme does not use foreign cloud storage for patient data; all processing is on‑premise.
Planning for growth
Electronic health record coverage is expected to grow from under 10% to around 80% by 2030 — an eightfold increase in data. Capacity is planned with this growth in mind, to avoid the platform reaching its ceiling within two to three years.
Status
The programme is in progress. This page will be updated with milestones and results as they are achieved.
Planning a medical AI or equipment project?
Talk to our team about specification, supply, deployment and support — from a single hospital department to a national programme.