Associations of remote mental healthcare with clinical outcomes: a natural language processing enriched electronic health record data study protocol.

ABSTRACT:

Introduction

People often experience significant difficulties in receiving mental healthcare due to insufficient resources, stigma and lack of access to care. Remote care technology has the potential to overcome these barriers by reducing travel time and increasing frequency of contact with patients. However, the safe delivery of remote mental healthcare requires evidence on which aspects of care are suitable for remote delivery and which are better served by in-person care. We aim to investigate clinical and demographic associations with remote mental healthcare in a large electronic health record (EHR) dataset and the degree to which remote care is associated with differences in clinical outcomes using natural language processing (NLP) derived EHR data.

Methods and analysis

SUBMITTER: Ahmed MS 

PROVIDER: S-EPMC9923317 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature