For years, assessing pain in non-communicative patients relied on subjective methods, often leading to misdiagnosis. The trial of PainChek at Orchard Care Homes demonstrated the efficiency of using AI for pain assessment, resulting in fewer psychotropic prescriptions and improved patient behavior. PainChek employs facial recognition technology to evaluate pain indicators through subtle muscle movements, addressing issues from traditional methods that failed to capture the true nature of patients’ distress.
The application has garnered approval globally, showcasing its potential to revolutionize pain management in various healthcare settings, including nursing homes and ICU wards. Researchers are exploring further avenues for pain quantification, examining neural signatures and expressions, to create a standardized pain measurement approach. This transformation not only seeks to enhance the accuracy of pain assessment but also aims to redefine how medical professionals understand and treat pain. The general trend is pushing towards integrating AI technologies in healthcare, providing a more objective framework to understand patients’ pain experiences.
👉 Pročitaj original: MIT Technology Review – AI
