@inproceedings{c2e1fdfe5fa442e884ef565d95ef296d,
title = "A realism-based view on counts in OMOP's common data model",
abstract = "Correctly counting entities is a requirement for analytics tools to function appropriately. The Observational Medical Outcomes Partnership's (OMOP) Common Data Model (CDM) specifications were examined to assess the extent to which counting in OMOP CDM compatible data repositories would work as expected. To that end, constructs (tables, fields and attributes) defined in the OMOP CDM as well as cardinality constraints and other business rules found in its documentation and related literature were compared to the types of entities and axioms proposed in realism-based ontologies. It was found that not only the model itself, but also a proposed standard algorithm for computing condition eras may lead to erroneous counting of several sorts of entities.",
keywords = "Common data models, OMOP, Realism-based ontologies",
author = "Werner Ceusters and Jonathan Blaisure",
note = "Publisher Copyright: {\textcopyright} 2017 The authors and IOS Press.; 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2017 ; Conference date: 14-05-2017 Through 16-05-2017",
year = "2017",
doi = "10.3233/978-1-61499-761-0-55",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "55--62",
editor = "Bernd Blobel and William Goossen",
booktitle = "pHealth 2017 - Proceedings of the 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health",
address = "Netherlands",
}