OHDSI Israel
Background
In recent years, there has been a remarkable increase in interest within Israel regarding the OMOP Common Data Model (CDM) and the Observational Health Data Sciences and Informatics (OHDSI) program. The OHDSI Israel Node, founded in summer 2023, strives to become a meeting point to all interested parties, expand OHDSI adoption within the Israeli healthcare system, and generate reliable, meaningful, and actionable evidence that promotes better health decisions and better care.
Objectives
- Promote OHDSI mission, vision, and values in Israel; engage with the European and global OHDSI community.
- Drive further standardization of Israeli data to the OMOP CDM and encourage the use of OHDSI analytics tools.
- Facilitate training programs and workshops to generate accurate and reproducible evidence generation from observational data; involve clinicians and researchers from the academia, government, healthcare organizations, and industry.
- Foster collaboration in national research initiatives; communicate with national policymakers to raise awareness and showcase the value of OMOP CDM and OHDSI analytics.
Leading Organisation(s)
Chen Yanover, KI Research Institute,
Members
Name |
Organisation |
Role |
|
Guy Amit |
KI Research Institute |
Senior Researcher |
|
Nadav Rappoport |
Ben-Gurion University of the Negev |
PI |
|
Yonatan Schwarcz |
Bnei Zion Hospital |
M.D., orthopedic surgery resident |
|
Nathan Japhet |
IQVIA |
Business Development Manager |
|
Tal El Hay |
KI Research Institute |
Senior Researcher |
|
Irena Girshovitz |
KI Research Institute |
Researcher |
|
Nikolai Grewe |
IQVIA |
IQVIA European OMOP Network |
|
Dvir Aran |
Technion |
PI |
|
Ronit Almog |
Rambam Health Care |
Director Epidemiology unit &Biobank |
|
Maytal Bivas-Benita |
KI Research Institute |
|
|
Inbal Goldshtein |
KI research institute |
Senior Researcher |
|
Nir Makover |
Division of Government Medical Centers |
Head of Data & Technology |
Publications
-
El-Hay T, Yanover C. Estimating Model Performance on External Samples from Their Limited Statistical Characteristics. In: Proceedings of the Conference on Health, Inference, and Learning. PMLR; 2022:48-62.
How to contribute?
- To join OHDSI Israel, fill out the following Google Form
- Optional: To get an OHDSI MSTeams account use this link; and here you can sign up for Working Groups.