Clinical Research Directory

Artificial Intelligence and Digital Health Literacies Among Older Adults: A Mixed-method Pilot Intervention Study

The goal of this pilot study is to determine the feasibility and to learn if a training program called E2NGAGE-Literacy (Empowering Elders in Navigating Generative AI for Greater E-health Literacy) can potentially help older adults in Singapore use generative AI (GenAI) chatbots safely and confidently to find and evaluate health information. The main questions it aims to answer are: * Is the conduct of E2NGAGE-Literacy program to improve older adults' AI literacy and digital health literacy feasible? * Do older adults find the E2NGAGE-Literacy program acceptable? * What are the potential changes in AI literacy, digital health literacy and actual use of AI-chatbot apps and web-based apps between older adults who receive E2NGAGE-Literacy program and those who do not receive the program? * What do participants think about E2NGAGE-Literacy, and how can it be improved? Researchers will compare two groups: * E2NGAGE-Literacy group: Participants will join a 6-week program with face-to-face group lessons on using GenAI for health information, supported by online videos, quizzes and short homework tasks. * Waitlist control group: Participants will continue with their usual activities at the senior centres and receive the same program after the study period. Participants in the E2NGAGE-Literacy group will: * Join weekly 1.5-hour face-to-face sessions for 6 weeks during the study period * Watch short videos and complete online quizzes and practice tasks between sessions during the study period * Be invited to a focus group discussion after the program to share their experiences * Complete a questionnaire at the start of the study and again at 7 and 12 weeks later * Be invited to share AI-chatbot transcripts for analysis Participants in the waitlist group will: * Complete a questionnaire at the start of the study and again at 7 and 12 weeks later * Join weekly 1.5-hour face-to-face sessions for 6 weeks after the study period (after week 8) * Watch short videos and complete online quizzes and practice tasks between sessions after the study period (after week 12) * Be invited to share AI-chatbot transcripts for analysis

The Effect of Artificial Intelligence-Supported Intramuscular and Subcutaneous Injection Training on Nursing Students

The complexity of healthcare services and technological advances today have necessitated the adoption of innovative approaches in nursing education. Among these innovative approaches, artificial intelligence (AI) has established itself as a technology that is increasingly present in nursing education processes, offering a supportive, personalized, and interactive learning experience. AI's contributions to nursing students' acquisition of fundamental competencies such as clinical decision-making, skill development, and critical thinking are rapidly increasing. Especially in high-risk, invasive, and clinically skill-intensive applications, AI-supported educational models both enhance learning quality and support patient safety. Intramuscular and subcutaneous injections are among the basic invasive skills that nursing students must learn. These applications require a high level of cognitive and psychomotor competence from students. Incorrect injection practices can lead to complications such as drug absorption problems, nerve damage, hematoma, or infection, making it critically important to teach these skills correctly and safely. In this context, AI-supported education systems stand out as an effective tool for teaching injection skills. Artificial intelligence-based chatbots provide students with both theoretical knowledge and practical guidance. For example, before injecting a muscle group, a student can learn about the anatomy of the muscle, determine the correct angle, and remember precautions against potential complications through the chatbot. Artificial intelligence also reinforces the learning process by instantly answering students' questions, preventing the acquisition of incorrect information. Recent studies emphasize that AI-supported learning tools positively influence students' attitudes toward learning, increasing their motivation and academic satisfaction levels. Accordingly, the integration of AI-based technologies in the process of training future nurses is no longer an option but a necessity. Particularly in complex and delicate skills such as intramuscular and subcutaneous injections, AI-supported chatbots can facilitate student learning, increase skill accuracy, and support clinical safety. Therefore, it is crucial for nursing education programs to combine artificial intelligence technologies with pedagogical foundations to provide student-centered, safe, and effective learning environments.