ESRA 2025 sessions by theme

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Session Details

The rapid evolution of technology presents unprecedented opportunities for improving the quality, accuracy, and scope of health data collection in survey research. This session will explore new methods that integrate digital tools, mobile technology, and artificial intelligence (AI) to revolutionize how health data is gathered, analyzed, and utilized.

Traditional survey methods often face challenges such as low response rates, recall bias, and limitations in reaching diverse populations. Our session will showcase innovative approaches that address these challenges by leveraging real-time data collection, passive data capture, personalized survey designs, and record linkage with other data sources. We will discuss the use of wearable devices and smartphone applications and other emerging technologies to collect continuous physiological and behavioral data, offering a more comprehensive picture of individual health trajectories. Additionally, we will explore AI-driven survey tools that adapt in real-time to respondent input, thereby enhancing engagement and reducing respondent burden.

A key focus will be on the ethical considerations and data security challenges associated with these new methodologies, ensuring that innovations do not compromise participant privacy. Moreover, by integrating these advanced technologies into survey research, we can obtain richer, more nuanced data that is critical for public health decision-making and policy development.
This session aims to engage participants in a dialogue about the future of health data collection. Participants will gain insights into the practical applications of these technologies, learn about successful case studies, and discuss the potential for these methods to transform the landscape of health survey research.