#y-te

The most comprehensive series for beginners to learn OMOP Common Data Model version 5.4. From the basic concept of medical data standardization, Person-centric architecture, 37 data tables (Clinical Data, Health System, Health Economics, Standardized Vocabularies, Derived Elements, Metadata), to Concept/Vocabulary systems, ETL processes, and OHDSI ecosystem tools. Each lesson has real-life examples from Vietnamese hospitals, intuitive diagrams, and hands-on SQL exercises.

Comprehensive series on the OHDSI (Observational Health Data Sciences and Informatics) ecosystem and OMOP Common Data Model — from platform overview, Standardized Vocabularies (Athena), medical data ETL (WhiteRabbit, Rabbit-in-a-Hat, Usagi), OMOP CDM implementation on PostgreSQL, WebAPI and ATLAS installation, to clinical data analysis (Cohort Definitions, Characterization, Incidence Rates, Population-Level Estimation, Patient-Level Prediction), data quality assessment (ACHILLES, Data Quality Dashboard), HADES R packages for observational studies, and OHDSI stack deployment on Docker/Kubernetes for multicenter Network Studies.

Comprehensive course on the HL7 FHIR (Fast Healthcare Interoperability Resources) data standard in healthcare — from theoretical foundation to practical implementation. Covers HL7 history (v2, v3, CDA), FHIR R5 architecture, Core Resources (Patient, Observation, Encounter, Medication, DiagnosticReport), RESTful API (CRUD, Search, Bundle, Transaction), Data Types, Terminologies (ICD-10, SNOMED CT, LOINC), Profiles & Extensions, SMART on FHIR, FHIR Subscriptions, building FHIR Server with FHIR HAPI (Java/Spring Boot), integration with EMR/HIS, Security & Privacy systems (HIPAA, GDPR), and practical applications in Vietnam (Circular 54/2017/TT-BYT, VNEID, Social Insurance). Updated to FHIR R5 (v5.0.0), the latest official version from HL7 International.