AI Is Changing How We Quantify Pain

Why It Matters

Widespread adoption could improve dementia-care outcomes and efficiency but raises questions about validation, privacy, regulatory approval and reliance on automated assessments.

Summary

Care homes and clinical researchers are turning to AI-driven tools to quantify pain in nonverbal patients, replacing or augmenting subjective observational scales like the Abbey Pain Scale. These systems use computer vision, sensor data and pattern recognition to detect facial microexpressions and physiological signals, promising more consistent, earlier detection of pain and potential reductions in staff burden and medication errors. Widespread adoption could improve dementia-care outcomes and efficiency but raises questions about validation, privacy, regulatory approval and reliance on automated assessments.