Patient Cohort Identification on Time Series Data Using the OMOP Common Data Model.

ABSTRACT:

Background

The identification of patient cohorts for recruiting patients into clinical trials requires an evaluation of study-specific inclusion and exclusion criteria. These criteria are specified depending on corresponding clinical facts. Some of these facts may not be present in the clinical source systems and need to be calculated either in advance or at cohort query runtime (so-called feasibility query).

Objectives

We use the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) as the repository for our clinical data. However, Atlas, the graphical user interface of OMOP, does not offer the functionality to perform calculations on facts data. Therefore, we were in search for a different approach. The objective of this study is to investigate whether

SUBMITTER: Maier C 

PROVIDER: S-EPMC7840432 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature