Clinical data can include diagnoses, laboratory measurements, imaging, treatments, outcomes and observations from trials or routine care. It provides evidence about how diseases and interventions behave in people rather than only in simplified models.
High-quality clinical data is difficult to collect and interpret because populations, measurements and care settings vary. Privacy, consent, bias and missing information must be managed before data is used to train or evaluate AI systems.
ELI5
Clinical data is health information collected from patients or healthcare settings for care, research, evaluation or regulation. It can include diagnoses, laboratory results, images, treatments and outcomes.
For example, researchers may use properly governed clinical records to evaluate whether an AI risk model works across different patient groups. They must account for privacy, consent, missing information and bias because care settings and populations do not all collect data in the same way.
