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Conversion of Sensitive Data to the Observational Medical Outcomes Partnership Common Data Model: Protocol for the Development and Use of Carrot

Conversion of Sensitive Data to the Observational Medical Outcomes Partnership Common Data Model: Protocol for the Development and Use of Carrot

For an organization with data that are not in OMOP, there will always be an effect required to convert the data from the source standard to the OMOP CDM. The Observational Health Care Data Sciences and Informatics (OHDSI) [4] program collates a suite of open-source tools [5,6] that can assist in the process of the extract, transform, and load (ETL) stages to convert data from the original format to OMOP.

Samuel Cox, Erum Masood, Vasiliki Panagi, Calum Macdonald, Gordon Milligan, Scott Horban, Roberto Santos, Chris Hall, Daniel Lea, Simon Tarr, Shahzad Mumtaz, Emeka Akashili, Andy Rae, Esmond Urwin, Christian Cole, Aziz Sheikh, Emily Jefferson, Philip Roy Quinlan

JMIR Res Protoc 2025;14:e60917

Implementation of the Observational Medical Outcomes Partnership Model in Electronic Medical Record Systems: Evaluation Study Using Factor Analysis and Decision-Making Trial and Evaluation Laboratory-Best-Worst Methods

Implementation of the Observational Medical Outcomes Partnership Model in Electronic Medical Record Systems: Evaluation Study Using Factor Analysis and Decision-Making Trial and Evaluation Laboratory-Best-Worst Methods

Furthermore, the relationship strength between the attitude toward OMOP usage and the usefulness of OMOP is 0.858, with a test statistic of 34.713, which exceeds the critical t value at the 5% error level (1.96), confirming a significant relationship with 95% confidence. Therefore, a significant relationship is observed between the attitude toward OMOP usage and the usefulness of OMOP with 95% confidence.

Ming Luo, Yu Gu, Feilong Zhou, Shaohong Chen

JMIR Med Inform 2024;12:e58498

Integrating Clinical Data and Medical Imaging in Lung Cancer: Feasibility Study Using the Observational Medical Outcomes Partnership Common Data Model Extension

Integrating Clinical Data and Medical Imaging in Lung Cancer: Feasibility Study Using the Observational Medical Outcomes Partnership Common Data Model Extension

In this study, we propose a method to integrate medical imaging data with the OMOP CDM, aimed at enhancing multimodal research capabilities. This approach involves converting DICOM metadata and its annotation data to fit within the OMOP CDM framework and subsequently integrating it into a designed Imaging Common Data Model (I-CDM).

Hyerim Ji, Seok Kim, Leonard Sunwoo, Sowon Jang, Ho-Young Lee, Sooyoung Yoo

JMIR Med Inform 2024;12:e59187

Assessment and Improvement of Drug Data Structuredness From Electronic Health Records: Algorithm Development and Validation

Assessment and Improvement of Drug Data Structuredness From Electronic Health Records: Algorithm Development and Validation

These gaps are being addressed by the International Observational Health Data Sciences and Informatics community, which provides the common data model called the Observational Medical Outcomes Partnership (OMOP) and standardized analysis tools based on OMOP.

Ines Reinecke, Joscha Siebel, Saskia Fuhrmann, Andreas Fischer, Martin Sedlmayr, Jens Weidner, Franziska Bathelt

JMIR Med Inform 2023;11:e40312

Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study

Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study

Several examples of databases transformed into OMOP have been published [16-18], and OMOP stores more than half a billion patient records from around the world [19,20]. The OMOP conceptual model is based on a closure table pattern [21] capable of ingesting any simple, hierarchical, and also graph terminologies, such as SNOMED. In addition to local terminologies, OMOP defines and maintains a set of standard terminologies to be mapped unidirectionally (local to standard) by implementers.

Nicolas Paris, Antoine Lamer, Adrien Parrot

JMIR Med Inform 2021;9(12):e30970