A5099043048- Mental Health via Writing
- Health Literacy and Information Accessibility
- Sentiment Analysis and Opinion Mining
- Social Media in Health Education
- Meta-analysis and systematic reviews
- Patient-Provider Communication in Healthcare
- Digital Mental Health Interventions
- Artificial Intelligence in Healthcare and Education
Mahatma Gandhi Institute of Medical Sciences
2024
Background and Aims: Artificial intelligence (AI) chatbots like Conversational Generative Pre-trained Transformer (ChatGPT) have recently created much buzz, especially regarding patient education. Such informed patients understand adhere to the management get involved in shared decision making. The accuracy understandability of generated educational material are prime concerns. Thus, we compared ChatGPT with traditional information leaflets (PILs) about chronic pain medications. Methods:...
Eye surgeries often evoke strong negative emotions in patients, including fear and anxiety. Patient education material plays a crucial role informing empowering individuals. Traditional sources of medical information may not effectively address individual patient concerns or cater to varying levels understanding. This study aims conduct comparative analysis the accuracy, completeness, readability, tone, understandability generated by AI chatbots versus traditional Information Leaflets...
Dear Editor, We appreciate the readers' interest in our study[1] and their thoughtful feedback.[2,3] Our focus was on common chronic pain medication problems, expanding scope would dilute findings. used sentiment analysis to compare artificial intelligence (AI) traditional patient information leaflets (PILs), setting a foundation for future research engagement.[4] addressed expert panel bias with diverse team, using objective tools like readability scores Patient Education Material...