Initiative file / Health
TEC-CCSS training program in medical AI
Evidence record v2
07 / 31
- Institution
- CCSS
- Editorial classification
- Ecosystem and capabilities
- Initiative type
- Capacity-building program
- Documented phase
- Completed
- Relationship to AI in the source
- Explicit relationship to AI
- Execution evidence
- Confirmed
- First evidence
- Last verified
Documented scope
What it is
8-week course for medical, IT and administrative staff. Projects: anomaly detection in mammograms, analysis of neonatal eye imaging.
Objective stated by the institution
Train CCSS staff and develop prototypes for public-health challenges.
Known timeline
Only milestones with an explicit date in the sources or editorial review are shown.
- First evidence
- Latest editorial verification
Evidence reading
Each dimension is assessed separately. Undetermined marks an evidence gap; not applicable means the dimension does not correspond to the documented object.
What is confirmed
Confirmed evidence is detailed in the matrix and documented results; there are no additional notes in this field.
What could not be determined
- No evidence was found that the prototypes were deployed in clinical care.
Documented results
Results are published only when a source traceably attributes them to this initiative.
The institutional source reports two prototypes developed during the eight-week program.
Evidence matrix
Sources and traceability
Sources state which claims they support, their origin and the date on which they were consulted.
- [1]TEC and CCSS advance the use of artificial intelligence for public-health challenges
- Publisher
- Tecnológico de Costa Rica
- Source type
- Official primary source
- Published
- Consulted
Supports: existence · execution · AI technique · reported result
Open questions
No additional open questions were recorded in the current review.
Context
It is classified as a capacity-building program. The prototypes are training outputs and do not amount to deployed clinical systems.
Related projects
Ecosystem and capabilitiesOperational
Verified:
EDUS: Unified Digital Health Record
CCSS digital infrastructure that centralizes clinical records and enables information exchange across facilities. EDUS is the data foundation used by separate initiatives such as LIDIA and the announced AIDA integration.
- Initiative type
- Digital infrastructure
- Operational start
Initiatives under reviewPlanned
Verified:
AIDA: Intelligent Digital Assistant for Care
Intelligent Digital Assistant for Care announced by CCSS to support real-time clinical decisions and integrate with EDUS as part of its primary-care strengthening strategy.
- Initiative type
- AI component
- Announcement
Verified adoptionPilot
Verified:
LIDIA: predictive models in EDUS
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.
- Initiative type
- AI component
- Pilot start