Exploring the potential of OMOP common data model for process mining in healthcare.

ABSTRACT:

Background and objective

Recently, Electronic Health Records (EHR) are increasingly being converted to Common Data Models (CDMs), a database schema designed to provide standardized vocabularies to facilitate collaborative observational research. To date, however, rare attempts exist to leverage CDM data for healthcare process mining, a technique to derive process-related knowledge (e.g., process model) from event logs. This paper presents a method to extract, construct, and analyze event logs from the Observational Medical Outcomes Partnership (OMOP) CDM for process mining and demonstrates CDM-based healthcare process mining with several real-life study cases while answering frequently posed questions in process mining, in the CDM environment.

Methods

We propose a method to

SUBMITTER: Park K 

PROVIDER: S-EPMC9810199 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature