Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review.

ABSTRACT:

Background

Electronic medical records (EMRs) contain large amounts of detailed clinical information. Using medical record review to identify conditions within large quantities of EMRs can be time-consuming and inefficient. EMR-based phenotyping using machine learning and natural language processing algorithms is a continually developing area of study that holds potential for numerous mental health disorders.

Objective

This review evaluates the current state of EMR-based case identification for depression and provides guidance on using current algorithms and constructing new ones.

Methods

A scoping review of EMR-based algorithms for phenotyping depression was completed. This research encompassed studies published from January 2000 to May 2023. The search involved 3 dat

SUBMITTER: Grothman A 

PROVIDER: S-EPMC11493107 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature