The integration between ChatGPT and e-health literacy presents a significant potential to enhance the quality and accessibility of health services. However, the associated risks of ChatGPT generating misleading or erroneous content have increased concern regarding misinformation within academic spheres (
7). ChatGPT, which has natural language processing capabilities, facilitates users in posing health-related inquiries and getting meaningful responses effortlessly. This attribute aids users in comprehending health information more profoundly, enabling informed health-related decision-making (
4). Research has suggested that ChatGPT can be pivotal in health education, research, and practices (
2,
4).
E-health literacy covers the competencies of individuals in researching, understanding, and utilizing electronic health information effectively. This skill set can potentially increase the quality and efficiency of health services and improve individuals' health-related decision-making processes. The role of ChatGPT in improving e-health literacy can facilitate users in acquiring a quicker and more effective grasp of health information. For instance, when a user submits a health-related search to ChatGPT, the system retrieves information from an extensive database and renders a response in a language comprehensible to the user. This ensures quick access to reliable and precise information, facilitating informed health-related decisions. Furthermore, ChatGPT can convert complex terminologies and medical jargon into intelligible language, which assists users in understanding health information with ease. When a user seeks information about a specific illness, ChatGPT can explain the disease's symptoms, treatment options, and preventive strategies comprehensibly. As a result, users can make informed decisions about their health conditions and gain more proficiency in health-related topics. Nevertheless, the integration of ChatGPT and e-health literacy also introduces challenges related to technology and education. For example, AI technologies in health services can lead to issues such as data security, privacy, algorithmic bias, and erroneous predictions (
8). Moreover, employing AI and IoT technologies in health services could lead to educational difficulties concerning access to and proficiency in using technology, trust in technology, and adaptability to technology (
9,
10). Integrating ChatGPT and e-health literacy mandates integrating digital, data, and AI literacy skills (
11). This necessitates that health service users, providers, and policymakers possess the skills and knowledge to utilize AI technologies in health services effectively. A need for further research and policy development aimed at this integration is evident for the successful integration of ChatGPT and e-health literacy.