Evidence map›Paper›PMID 41166331›Full record

ArticlePloS one2025

Kineret: Israel's Largest Hospital Network Transformed into the OMOP common data model for collaborative research.

Nadav Rappoport, Guy Livne, Naama Perry Cohen, Nir Makover, Hadas Eshel-Geva, Hadar Kapach, Tomer Hadad, Yarin Alon, Robyn Rubin, Segev Chai and 2 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Nadav RappoportDepartment of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel.ORCID https://orcid.org/0000-0002-7218-2558
Guy LivneThe Directorate of Government Medical Centers, State of Israel Ministry of Health, Jerusalem, Israel.
Naama Perry CohenThe Directorate of Government Medical Centers, State of Israel Ministry of Health, Jerusalem, Israel.
Nir MakoverThe Directorate of Government Medical Centers, State of Israel Ministry of Health, Jerusalem, Israel.
Hadas Eshel-GevaThe Directorate of Government Medical Centers, State of Israel Ministry of Health, Jerusalem, Israel.
Hadar KapachThe Directorate of Government Medical Centers, State of Israel Ministry of Health, Jerusalem, Israel.
Tomer HadadThe Directorate of Government Medical Centers, State of Israel Ministry of Health, Jerusalem, Israel.
Yarin AlonThe Directorate of Government Medical Centers, State of Israel Ministry of Health, Jerusalem, Israel.
Robyn RubinThe Directorate of Government Medical Centers, State of Israel Ministry of Health, Jerusalem, Israel.
Segev ChaiThe Directorate of Government Medical Centers, State of Israel Ministry of Health, Jerusalem, Israel.
Shirell da VillaThe Directorate of Government Medical Centers, State of Israel Ministry of Health, Jerusalem, Israel.
Ohad HochmanBnai-Zion Medical Center, Haifa, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background In 2021, the Directorate of Government Medical Centers at the Israeli Ministry of Health launched the Kineret initiative to standardize clinical data across its network of public medical centers and facilitate its secondary use for research and innovation. The primary goals were to streamline data extraction, cleaning, and sharing processes, thereby enabling efficient reuse of clinical data for translational and collaborative research. The Directorate oversees a national network of 25 government healthcare institutions, including 11 general medical centers, 9 mental health centers, and 5 geriatric care facilities. Methods Following an evaluation of existing data models, the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) was selected as the standard framework for semantic harmonization across institutions. A dedicated instance of ATLAS, the OHDSI open-source platform for observational research, was deployed on a secure cloud environment accessible to authorized researchers within the network. This infrastructure enables efficient feasibility assessment and exploratory data analysis buy the end users. Approved research projects are conducted within a secure, cloud-based virtual environment that supports diverse computational needs. Results As of 2025, six medical centers have been successfully integrated into the Kineret data infrastructure, with full harmonization of their clinical data into the OMOP CDM. A seventh center is currently in the final stages of integration and is expected to join the network by the end of the year. Conclusion Kineret initiative provides a scalable, secure, and standardized data infrastructure that supports both intra-national multi-center research and international collaborative studies. By enabling streamlined access to high-quality, harmonized clinical data, Kineret holds significant potential to advance both local and global healthcare research. A detailed description of the data and platform is available at https://kineret.health.gov.il/.

Indexed as

HospitalsCooperative BehaviorHumansIsrael

Identifiers

PMID41166331
PMCPMC12574879

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.