Generative AI for pre-consultation mental health triage in disorders of gut-brain interaction
By
Dakai Zeng
He Zeng
Jie Song
Kai Zhu
June 16, 2026
Clinical Scorecard: Utilizing Generative AI for Initial Mental Health Assessment in Gut-Brain Interaction Disorders
At a Glance
Category Detail
Condition Disorders of gut-brain interaction (DGBI) Key Mechanisms Integration of symptom narratives, prior investigations, alarm features, and psychosocial context. Target Population Patients with DGBI experiencing anxiety, depressive symptoms, and related health issues. Care Setting Gastroenterology practice.
Key Highlights
DGBI often accompanied by anxiety, depression, and sleep disturbances. Generative AI proposed for supervised pre-consultation triage. Aim to streamline patient histories and improve initial consultations. Requires clinician oversight and explicit escalation rules. Focus on multidomain data collection and patient acceptability. Guideline-Based Recommendations
Diagnosis
Assess alarm features and overlapping conditions. Review prior investigations and treatments. Management
Explore psychosocial contributors and explain the gut-brain model. Monitoring & Follow-up
Flag possible medical or psychiatric escalation. Risks
Delayed psychological recognition and avoidable investigations. Patient & Prescribing Data
Patients with DGBI and associated mental health symptoms.
Early recognition of psychosocial processes can enhance treatment engagement.
Clinical Best Practices
Utilize GenAI for organizing patient information pre-consultation. Ensure clinician review before any action is taken. Implement a framework for evaluating workflow, safety, and equity. Related Resources & Content
