EDUS with predictive AI
Institution: Costa Rican Social Security Fund
What it is
The Single Digital Health Record (EDUS), created under Law 9162 and operational since 2010, centralizes the clinical history of all insured members of the Costa Rican Social Security Fund (CCSS), covering approximately 90% of the country's population. The system was stress-tested during the COVID-19 pandemic and demonstrated scalability. The incorporation of an AI layer for predictive medicine is planned but has no public timeline; EDUS is considered one of the most complete clinical datasets in the Latin American public sector still untapped by AI at scale.
Verified results
106.2M visits recorded, 561.5M prescriptions, 39.6M lab tests and 5.3M app downloads (#1 in Costa Rica). WSIS 2021 Award.
Context
EDUS covers 100% of CCSS members and was stress-tested during the pandemic. The AI layer is planned but has no public timeline; it is one of the most valuable Costa Rican state datasets still untapped at scale by AI.
Official source
↗ https://publications.iadb.org/en/costa-ricas-unified-digital-health-record-edus-system-best-practices-history-and-implementationRelated projects
TEC-CCSS training program in medical AI
Live8-week course for medical, IT and administrative staff. Projects: anomaly detection in mammograms, analysis of neonatal eye imaging.
Live since: 2025
AIDA — Intelligent Digital Assistant for Care
PilotAI assistant embedded in EDUS that supports health professionals in real time during consultation: suggests differential diagnoses, helps with chronic-disease follow-up (with stated focus on diabetes, hypertension and obesity) and enables asynchronous tele-consultation with specialists.
Live since: 2026
LIDIA — Predictive models in EDUS
PilotInternal program of four predictive health models (type 2 diabetes, lung health, acute coronary syndrome and breast cancer) running on EDUS. Identifies at-risk populations so clinics can reach out before formal diagnosis.
Live since: 2023