Introducing the Series
OMOP CDM 5.4 for Beginners is the most comprehensive series in Vietnamese, helping you understand OMOP Common Data Model version 5.4 — the health data standard used by more than 400 organizations in 80 countries.
Problem
Medical data at each hospital is stored in its own way:
Bệnh viện A (HIS) Bệnh viện B (EMR) Bảo hiểm Y tế XH
├── patients ├── nguoi_benh ├── ho_so_kcb
├── diagnoses (ICD-10) ├── chan_doan (ICD-10-VN) ├── ma_benh
├── prescriptions ├── don_thuoc ├── thuoc_bh
└── lab_results └── ket_qua_xn └── xet_nghiem
(khác format) (khác format) (khác format)
→ Cannot be compared, aggregated, or studied across hospitals.
Solution: OMOP CDM
OMOP Common Data Model 5.4
┌─────────────────────────────────────┐
Bệnh viện A ──→ │ PERSON │
Bệnh viện B ──→ │ ├── VISIT_OCCURRENCE │ ──→ Phân tích thống nhất
BHYT ──→ │ │ ├── CONDITION_OCCURRENCE │ ──→ Nghiên cứu đa trung tâm
Phòng khám ──→ │ │ ├── DRUG_EXPOSURE │ ──→ AI/ML trên dữ liệu y tế
│ │ ├── PROCEDURE_OCCURRENCE │
│ │ ├── MEASUREMENT │
│ │ └── OBSERVATION │
│ ├── Standardized Vocabularies │
│ └── Health System / Economics │
└─────────────────────────────────────┘
What will you learn?
| Part | Content | Article |
|---|---|---|
| 1. Overview | OMOP CDM, architecture, Concept | Lesson 1-3 |
| 2. Person & Visit | PERSON, OBSERVATION_PERIOD, VISIT | Lesson 4-6 |
| 3. Clinical events | Condition, Drug, Procedure, Measurement | Lesson 7-10 |
| 4. Expansion Table | Observation, Device, Note, Death, Episode | Lesson 11-13 |
| 5. Vocabularies | Concept systems, Relationships, Mapping | Lesson 14-16 |
| 6. Systems & Economics | Location, Provider, Cost, Era tables | Lesson 17-19 |
| 7. Summary | Metadata, Cohort, roadmap | Lesson 20 |
Prerequisites
- Basic understanding of databases (know tables, columns, rows)
- Basic SQL (SELECT, JOIN, WHERE) — useful but not required
- No need for in-depth medical knowledge — every concept is explained
Different from OHDSI & OMOP CDM series
This series focuses 100% on the OMOP CDM 5.4 data structure — explaining each table, each field, with specific examples. If you want to learn more tools (ATLAS, WebAPI, ACHILLES, ETL), check out the series OHDSI & OMOP CDM — Comprehensive Healthcare Data Analysis.