NIH R01 · 2024
Automated Coding of Exposure Therapy Quality using Natural Language Processing
Project Summary Quality monitoring is essential in psychotherapy clinical trials and for supporting the use of evidence-based interventions (EBI) in mental health service settings, but few are available, and these require costly and laborious procedures. Without pragmatic, specific measures of quality, it is impossible to know whether key quality components are being delivered, and to what effect. Natural Language Processing (NLP), a type of artificial intelligence, has extraordinary potential to reduce burden by automating the process of quality coding. Exposure therapy for anxiety is an ideal prototype for testing automated quality coding using NLP, given its potential for public health…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.