#Healthcare

How well does OMOP CDM fit Vietnam? This article analyzes the policy context (Decision 3516/QĐ-BYT, Personal Data Protection Law 2025, Medical Examination and Treatment Law 15/2023, electronic health records on VNeID), Ministry of Health catalog mapping, custom vocabularies, and a roadmap for a national research data lake.

Duy TranMay 7, 202615 min

By 2026, mature organizations run both FHIR (operational) and OMOP (analytics). This article walks through resource ↔ table mapping, the FHIR-OMOP-on-FHIR working group, Pathling, the Bulk Data Export pipeline, and deployment patterns for Vietnam.

Duy TranMay 7, 202614 min

A 100M-event CDM in production behaves nothing like the Eunomia sample. This article covers schema design, indexing, partitioning by person_id, vacuum, backup, security under Vietnam's Personal Data Protection Law 2025 (effective Jan 1, 2026), audit logging, and vocabulary upgrades.

Duy TranMay 7, 202614 min

ATLAS is the official OHDSI cohort builder; Data Quality Dashboard runs more than 3,000 quality checks; ACHILLES profiles each CDM. This article walks through installing Broadsea, defining cohorts, reading DQD, and acting on results.

Duy TranMay 7, 202614 min

A deep dive into the seven most important tables in OMOP CDM 5.4 — schema, foreign keys, ETL conventions, common pitfalls (Measurement vs. Observation, Drug_Exposure vs. Drug_Era), and 10 popular RWE SQL patterns.

Duy TranMay 7, 202618 min

Vocabulary is the hardest but most important part of OMOP. This article explains Concepts, Standard vs. Source, Domain, Vocabulary, ConceptRelationship, and ConceptAncestor — plus the Athena download/lookup workflow for Vietnamese projects.

Duy TranMay 7, 202616 min

Which Common Data Model fits your organization? This article compares OMOP, FHIR, i2b2, PCORnet, and Sentinel across schema, vocabulary, governance, tooling, and use cases — and provides a decision tree to help you pick.

Duy TranMay 7, 202613 min

Real-World Evidence (RWE) is changing how the FDA, EMA, and other regulators make decisions. OMOP CDM is the data standard that lets you run a single study across hundreds of organizations at once. This article introduces OHDSI, CDM 5.4, and the Vietnam context.

Duy TranMay 7, 202614 min

BAs working with AI in Fintech must understand AML/KYC regulations. BA in Healthcare needs to know HIPAA and clinical workflows. BA in eCommerce focuses on personalization and fraud. A guide to domain-specific skills, regulations, and AI use cases for each industry.

Duy TranMay 5, 202615 min

An in-depth analysis of AI applications in healthcare — from CNN medical imaging that surpasses specialist physicians, NLP for EHR analysis, drug discovery compressed from 12 years to months, to personalized genomics treatment. Includes real case studies, technical challenges, ethical issues, and a deployment roadmap for Vietnam.

Duy TranApril 1, 202635 min

How to search on encrypted data? This article presents 3 practical approaches and implementations with Spring Boot + PostgreSQL to protect 100,000+ patient records.

Duy TranDecember 15, 202515 min

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.

Step-by-step instructions for building a medical information system (HIS/EMR/LIS) with Microservices architecture using Quarkus, PostgreSQL and Keycloak. Compliant with HIPAA, HL7 FHIR, Zero Trust security standards. From architectural design, building services, decentralization, data encryption, audit logging to production deployment on Kubernetes. Each article has practical code, ready to be applied to hospitals and medical facilities.

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.