Ontology highlight
ABSTRACT: Objective
Clinician narrative style in electronic health records (EHR) has rarely been investigated. Clinicians sometimes record brief quotations from patients, possibly more frequently when higher risk is perceived. We investigated whether the frequency of quoted phrases in an EHR was higher in time periods closer to a suicide attempt.Design
A case-crossover study was conducted in a large mental health records database. A natural language processing tool was developed using regular expression matching to identify text occurring within quotation marks in the EHR.Setting
Electronic records from a large mental healthcare provider serving a geographic catchment of 1.3 million residents in South London were linked with hospitalisation data.Participants
1503 indi
SUBMITTER: Jayasinghe L
PROVIDER: S-EPMC7204853 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature