Generative AI in clinical practice: novel qualitative evidence of risk and responsible use of Google's NotebookLM
Project Overview
The document explores the transformative role of generative AI, particularly Google's NotebookLM, in the field of education, focusing on its applications in clinical training and patient education. It highlights innovative uses such as the development of AI-voiced podcasts that enhance learning and engagement by synthesizing complex medical literature into accessible formats. Despite these promising advancements, the document raises critical concerns regarding the risks of misinformation, insufficient fact-checking, and the need for stringent patient data protection measures. It underscores that while generative AI has the potential to revolutionize educational methods and improve knowledge dissemination in clinical settings, careful consideration of ethical implications and safeguards is essential before widespread implementation. Overall, the findings suggest that generative AI can significantly enhance educational experiences but must be approached with caution to mitigate associated risks.
Key Applications
NotebookLM
Context: Used for generating AI-voiced podcasts to educate patients and synthesizing medical literature for healthcare professionals.
Implementation: NotebookLM allows users to upload documents and generate audio podcasts summarizing content.
Outcomes: Potential to enhance patient education and save time for medical professionals by summarizing complex information.
Challenges: Risks of generating misleading information, lack of accurate fact-checking, and potential breaches of patient data protection.
Implementation Barriers
Technical
NotebookLM's propensity to generate inaccurate outputs and hallucinate information, undermining its reliability.
Proposed Solutions: Need for rigorous testing and validation processes to ensure accuracy and reliability before clinical implementation.
Ethical
Concerns regarding patient data privacy and compliance with regulations like HIPAA.
Proposed Solutions: Develop responsible usage guidelines and frameworks to protect patient information while using generative AI.
Project Team
Max Reuter
Researcher
Maura Philippone
Researcher
Bond Benton
Researcher
Laura Dilley
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Max Reuter, Maura Philippone, Bond Benton, Laura Dilley
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