Streamlining electronic medical record data extraction and validation in digital hospitals: A systematic review to identify optimal approaches and methods.

ABSTRACT:

Objective

Extracting and curating data from large clinical information systems is challenging, and the optimal methodology is often unclear. This review was to systematically investigate and appraise the research literature to assess existing methods used by healthcare organizations to extract data from the electronic medical record (EMR). The Observational Medical Outcomes Partnership (OMOP) common data model (CDM) is used as a comparator for the various methods of data extraction. Our specific research question was: what lessons can be learned from healthcare organizations' experiences with data extraction from EMRs using OMOP CDM as a standardized use case?

Methods

We searched PubMed, Web of Science, Embase, the snowballing citation, and potentially relevant gray literatu

SUBMITTER: Lim HC 

PROVIDER: S-EPMC12569454 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature