Revolutionizing Digital Health with Generative AI: User Experiences and Healthcare Performance

Generative artificial intelligence (GenAl) is revolutionizing digital health by enhancing diagnostic accuracy, predicting health risks, and reducing wait times and costs. This study adopts an inductive approach to analyze user experiences with GenAl through social media comments. We construct a conceptual framework and find that users, including physicians and patients/general users, have varying needs that need to be met using different GenAl types. Our conceptual framework also reveals the interactions among the characteristics of GenAl, users, and users' tasks. This research advances the field of Information Systems by bridging the gap between technology and user behavior in digital health. We also offer insights for future research to explore the influence of GenAl on users' behavior efficiently and how to effectively integrate GenAl tools into their clinical workflows, enhancing patient care and operational efficiency.