ChatGPT Role in a Medical Survey

Abstract

Significant progress has been made in AI over the past decade, but its application in clinical care remains limited. However, ChatGPT, an advanced language model developed by OpenAI, shows great promise in medicine and can significantly impact medical surveys by improving data collection and generating valuable insights for better healthcare outcomes. ChatGPT has the potential to enhance survey research by assisting in various aspects, including survey design, sampling, data cleaning, analysis, and reporting, improving the quality and efficiency of the research process. AI chatbots like ChatGPT in survey administration can enhance response rates and participant engagement, providing a better user experience and capturing more comprehensive data. Numerous studies have demonstrated ChatGPT's impressive performance in clinical reasoning exams, addressing complex questions in pathology, microbiology, and life support scenarios, making it a valuable tool for data analysis and decision-making in healthcare. While using ChatGPT in medical surveys offers advantages such as accessibility, language versatility, knowledge democratization, and efficiency, there are also disadvantages, including response sensitivity, data limitations, accuracy concerns, bias, and limited access to recent literature. Ethical concerns in AI healthcare include privacy issues, mistrust in AI systems, societal prejudices, and racial biases, which can be addressed through privacy protection measures, transparency, trust-building efforts, bias mitigation strategies, and involving relevant stakeholders in the process.