Related Experiment Video
Updated: Aug 14, 2026

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
Catch My Drift: Building Scalable and Sustainable Models for Promoting Clinician Adherence to Evidence-Based
Andrea Beth Goldschmidt1, Andrea Kass Graham2
1Department of Psychiatry, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, United States, 1 4126473089.
Unlabelled:
Lock and colleagues showed promising effects for asynchronous virtual training in family-based treatment for anorexia nervosa paired with expert case-based consultation to promote fidelity. In this commentary, we present two promising directions by which to extend these early findings: (1) using AI to scale fidelity monitoring and prevent clinician drift over time; (2) broadening the reach of virtual training models beyond private practice settings to improve the quality of eating disorders services delivered in community settings and narrow the treatment gap.
Related Concept Videos
Binge Eating Disorders
Modeling in Therapy
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...
Community Based Intervention
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Operant Conditioning Intervention
In operant conditioning, behaviors that are...
Anorexia Nervosa
Symptoms and Physical Effects
Individuals with anorexia nervosa commonly exhibit extreme...
Models of Health Promotion and Illness Prevention I
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
