TY - JOUR
T1 - Expanding the OMOP common data model to support extracorporeal life support research
AU - Rieder, Clemens
AU - Zhuk, Aleh
AU - Said, Ahmed
AU - Becker-Pennrich, Andrea S.
AU - Dietz, Konstantin
AU - Bělohlávek, Jan
AU - Geppert, Jeffrey
AU - Horvat, Christopher
AU - Barbaro, Ryan P.
AU - Tonna, Joseph E.
AU - Conrad, Steven A.
AU - Broman, Lars Mikael
AU - Reich, Christian
AU - Blacketer, Clair
AU - Brodie, Daniel
AU - Alexander, Peta M.A.
AU - Hoechter, Dominik J.
N1 - Publisher Copyright:
© The Author(s) 2026. Published by Oxford University Press on behalf of the American Medical Informatics Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
PY - 2026/6
Y1 - 2026/6
N2 - Objective: Despite the increased availability of electronic health records, open-source standardized data collection to facilitate high-resolution data during extracorporeal life support (ECLS) is lacking. This project aimed to assess the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) for interoperability to store data sufficiently generated in the context of ECLS and to develop a custom data model expansion in case the OMOP CDM proved insufficient. Design and Setting: The OMOP CDM was analyzed qualitatively by expert consensus for its capability to capture data relative to ECLS as well as the presence of fitting ECLS-related concepts. Database entries necessary to store information about primary ECLS components were compared using the OMOP CDM versus the custom data model expansion. Main Results: Analysis of data elements required to capture ECLS data within the OMOP CDM revealed a paucity of suitable concepts within the OHDSI Standardized Vocabularies, limiting capture of ECLS circuit-derived data. Custom ECLS-specific database tables and novel concepts were introduced as part of a custom expansion, the ECLS Common Data Model (ECLS CDM). The number of database entries necessary to store ECLS use cases was reduced by up to 90%. The ECLS CDM was released as an open-source project on GitHub and placed in the public domain. Conclusions: With the first iteration of the ECLS CDM, we introduce a data model to improve interoperability for data describing ECLS and elevate data quality, enabling multi-center research and quality initiatives.
AB - Objective: Despite the increased availability of electronic health records, open-source standardized data collection to facilitate high-resolution data during extracorporeal life support (ECLS) is lacking. This project aimed to assess the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) for interoperability to store data sufficiently generated in the context of ECLS and to develop a custom data model expansion in case the OMOP CDM proved insufficient. Design and Setting: The OMOP CDM was analyzed qualitatively by expert consensus for its capability to capture data relative to ECLS as well as the presence of fitting ECLS-related concepts. Database entries necessary to store information about primary ECLS components were compared using the OMOP CDM versus the custom data model expansion. Main Results: Analysis of data elements required to capture ECLS data within the OMOP CDM revealed a paucity of suitable concepts within the OHDSI Standardized Vocabularies, limiting capture of ECLS circuit-derived data. Custom ECLS-specific database tables and novel concepts were introduced as part of a custom expansion, the ECLS Common Data Model (ECLS CDM). The number of database entries necessary to store ECLS use cases was reduced by up to 90%. The ECLS CDM was released as an open-source project on GitHub and placed in the public domain. Conclusions: With the first iteration of the ECLS CDM, we introduce a data model to improve interoperability for data describing ECLS and elevate data quality, enabling multi-center research and quality initiatives.
KW - critical care
KW - extracorporeal life support
KW - open source software
KW - routinely collected health data
UR - https://www.scopus.com/pages/publications/105042419926
U2 - 10.1093/jamiaopen/ooag112
DO - 10.1093/jamiaopen/ooag112
M3 - Article
C2 - 42339164
AN - SCOPUS:105042419926
SN - 2574-2531
VL - 9
JO - JAMIA Open
JF - JAMIA Open
IS - 3
M1 - ooag112
ER -