Data use and analysis

In response to the growing complexity and volume of symptom-related data, this group supports the development and application of advanced analytical methods such as artificial/augmented intelligence, machine learning, natural language processing, and network analysis. It promotes secondary use of electronic health record data and fosters innovation in areas such as symptom clustering, trajectory modeling, and predictive algorithms.

By promoting the use of innovative methods we aim to better understand and manage symptom dynamics across populations and care settings.