Practical Use of ChatGPT in Psychiatry for Treatment Plan and Psychoeducation
Project Overview
The document explores the transformative role of generative AI, particularly ChatGPT, in the realms of education and mental health, underscoring its capacity to improve learning experiences and mental health support. In educational settings, ChatGPT facilitates personalized tutoring, interactive learning, and instant feedback, which fosters student engagement and enhances academic performance. Moreover, the model is employed in therapeutic contexts, offering support through therapeutic conversations, psychoeducation, self-help strategies, and crisis management, thus bridging the gap between mental health and education. The integration of generative AI is associated with positive educational outcomes, such as improved comprehension and retention of knowledge, while also promoting mental well-being among students. However, the document raises essential ethical considerations, particularly concerning user privacy and the need for professional oversight to ensure responsible use. Overall, the findings suggest that when effectively implemented, generative AI like ChatGPT can significantly enrich educational experiences and mental health support, paving the way for innovative approaches to teaching and learning.
Key Applications
Mental Health Support and Education
Context: Providing emotional support and educational resources related to mental health conditions for individuals seeking assistance, including training medical interns and supporting students in exam preparation.
Implementation: ChatGPT engages in interactive conversations and simulates patient encounters to deliver tailored information, coping strategies, and study guidance.
Outcomes: ['Enhanced emotional exploration and support for individuals seeking mental health assistance.', 'Increased understanding of mental health conditions among patients.', 'Improved diagnostic skills and confidence for medical interns.', 'Enhanced study skills and preparedness for students.']
Challenges: ['May not replace the need for professional mental health services.', 'Cannot provide a clinical diagnosis.', 'Limited ability to replace professional intervention.', 'Dependent on accurate input from students.']
Implementation Barriers
Ethical
Concerns regarding user privacy and data security.
Proposed Solutions: Implement secure protocols for data handling and ensure user confidentiality.
Technical
Potential for AI to produce inaccurate or biased responses.
Proposed Solutions: Ongoing monitoring and evaluation of AI outputs to ensure reliability.
Professional Oversight
Need for human oversight in the therapeutic process and clinical decisions.
Proposed Solutions: Mental health professionals should use AI as a supplementary tool while making clinical decisions.
Project Team
Farzan Vahedifard
Researcher
Atieh Sadeghniiat Haghighi
Researcher
Tirth Dave
Researcher
Mohammad Tolouei
Researcher
Fateme Hoshyar Zare
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Farzan Vahedifard, Atieh Sadeghniiat Haghighi, Tirth Dave, Mohammad Tolouei, Fateme Hoshyar Zare
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai