| 1. CDM and Vocabulary | ||
|---|---|---|
| Aim | - Learning the history of OMOP and OHDSI - Understanding of OMOP-CDM structure - Learning how to find codes and concepts |
|
| Educator | Chungsoo Kim (Ajou University School of Medicine) | |
| Participant preparation | Personal laptop (Chrome browser must be installed) | |
| Schedule | Time | Content |
| 10:00-11:00 | Introduction: History of OMOP and OHDSI | |
| 11:00-11:15 | Break | |
| 11:15-12:00 | Vocabulary 1 – Basic relationships | |
| 12:00-13:00 | Lunch | |
| 13:00-14:30 | Vocabulary 2 – Hierarchy Exercise SQL example | |
| 14:30-14:45 | Break | |
| 14:45-16:00 | OMOP-CDM table structure | |
| 2. Phenotyping by ATLAS | ||
|---|---|---|
| Aim | - Learning cohort definition and phenotyping using ATLAS - Learning how to make the cohorts using ATLAS |
|
| Educator | Jaehyeong Cho (Ajou University School of Medicine) | |
| Participant preparation | Personal laptop (Chrome browser must be installed) | |
| Schedule | Time | Content |
| 10:00-10:50 | Phenotyping using the common data model (Overview) | |
| 10:50-11:00 | Break | |
| 11:00-12:00 | Student exercise (Activity) | |
| 12:00-13:00 | Lunch | |
| 13:00-16:00 | ATLAS walkthrough: vocabulary searching, concept set creation, cohort definitions (Rule-based phenotyping in ATLAS) | |
| 1. Population Level Estimation (PLE) | ||
|---|---|---|
| Aim | - Planning and executing the comparative effectiveness study using OHDSI tools - Creating and exercising new-user comparative cohort using propensity score |
|
| Educator | Seng Chan You (Ajou University School of Medicine) | |
| Participant preparation | Personal laptop (Chrome browser must be installed) | |
| Course prerequisites | - Knowledge for OMOP-CDM structure and vocabulary - Epidemiologic knowledge or medical research experience - R programing skill |
|
| Educational content | Time | Content |
| 09:00-10:30 | Observational study design (in English) – Patrick Ryan | |
| 10:30-12:30 | Dissecting cohort study (in English) – Martijn Schuemie | |
| 12:30-13:15 | Lunch | |
| 13:15-17:00 | Exercise (in Korean) – Seng Chan You | |
| 2. Patient Level Prediction (PLP) | ||
|---|---|---|
| Aim |
- Learning the design of PLP studies for precision medicine and disease intercept - Making the PLP studies using ATLAS - Executing PLP studies in R |
|
| Educator | Youjin Park (Ajou University School of Medicine) | |
| Participant preparation | Personal laptop (Chrome browser must be installed) | |
| Course prerequisites | - Knowledge of OMOP-CDM and vocabularies - Understanding how to define cohorts using ATLAS - R programming skills |
|
| Educational content | Time | Content |
| 09:00-10:00 (60min) | Presentation: What is Patient-Level Prediction? | |
| 10:00-10:45 (45min) | Exercise: Selection of prediction problem | |
| 10:45-11:00 (15min) | Break | |
| 11:00-12:00 (60min) | Presentation: Learning the OHDSI Patient-Level Prediction Framework | |
| 12:00-12:30 (30min) | Presentation: Introduce Patient-Level prediction studies at the OHDSI consortium | |
| 12:30-13:15 (45min) | Lunch | |
| 13:15-14:15 (60min) | Guided tour through implementing Patient-Level Prediction | |
| 14:15-14:30 (15min) | Break | |
| 14:30-16:30 (120min) | Exercise: Design and implement your own Patient-Level Prediction | |
| 16:30-17:00 (30min) | Present the result of your own Patient-Level Prediction | |