Analyzing electronic medical records to extract prepregnancy morbidities and pregnancy complications: Toward a learning health system.

ABSTRACT:

Introduction

Preexisting and pregnancy-related medical conditions frequently co-occur, leading to multimorbidity (≥2 morbidities) in pregnant women, and much of this information is in semi-structured format in electronic medical records (EMRs). The aim was to advance the learning health system as a platform for automating information extraction from EMRs and to uncover the prevalence of common morbidities during pregnancy and their association with pregnancy-related complications.

Methods

This study included 48 502 pregnant women attending Monash Health maternity hospitals from 2016 to 2021. Natural language processing (NLP) was used to extract morbidities from semi-structured text in EMRs. Chi-squared tests were used to assess the association between morbidities of gestatio

SUBMITTER: Belsti Y 

PROVIDER: S-EPMC12000771 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature