Surveillance of Health Care-Associated Violence Using Natural Language Processing.

ABSTRACT:

Background and objectives

Patient and family violent outbursts toward staff, caregivers, or through self-harm, have increased during the ongoing behavioral health crisis. These health care-associated violence (HAV) episodes are likely under-reported. We sought to assess the feasibility of using nursing notes to identify under-reported HAV episodes.

Methods

We extracted nursing notes across inpatient units at 2 hospitals for 2019: a pediatric tertiary care center and a community-based hospital. We used a workflow for narrative data processing using a natural language processing (NLP) assisted manual review process performed by domain experts (a nurse and a physician). We trained the NLP models on the tertiary care center data and validated it on the community hospital data. F

SUBMITTER: Waltzman M 

PROVIDER: S-EPMC11291961 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature