Costa Rican Social Security Fund

8-week course for medical, IT and administrative staff. Projects: anomaly detection in mammograms, analysis of neonatal eye imaging.

Live since: 2025

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.

Live since: 2025

AI 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

Internal 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

CCSS platform to digitize, store and share medical images (mammography, ultrasound, CT scans, MRI and X-rays) across the country's health centers. It incorporates artificial intelligence algorithms to prioritize patients by clinical urgency, aiming to accelerate diagnoses and reduce wait times in imaging services.

Live since: 2024

CCSS bot that cleans up administrative wait lists (outpatient consultations, procedures and surgeries) by cross-referencing data from the Unified Digital Health Record (EDUS), Civil Registry, institutional service networks and external provider registries. Trained on historical cleanup patterns, it operates over 15 official resolution categories (deceased, treated at another center, medical contraindication, declines surgery, no longer needs the procedure, etc.). Every case the system flags goes through prior human validation before being removed from the list. Includes automated patient outreach to confirm status. Run by the Wait-List Technical Unit (UTLE) of the Medical Management.

Live since: 2026

Monitoring system for medicine and medical-supply contracts run by the CCSS Logistics Management. It cross-references internal procurement, inventory and delivery data with international supply-risk indicators (suppliers, countries, global shortages) to anticipate stock-out risk. Results are surfaced through a Power BI dashboard used by logistics teams and management.

Live since: 2026