Andrew Taylor’s Post

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Associate Professor @ Yale | Artificial Intelligence in Medicine, Health Informatics

Deeply honored to be partnered with this amazing group from University of St Andrews, The University of Edinburgh, NHS Fife, NHS Highland and so many others on highly significant work managing acute unscheduled and end-of-life care. 🔍 The project emerged amid unprecedented pressure on the country’s unscheduled care services, driven by workforce shortages, demographic changes, and widespread multimorbidity (when a person has two or more long-term health conditions). In 2022, Accident & Emergency waiting times hit record levels, and over a quarter-million calls to NHS24 went unanswered. Alongside these services, unscheduled care also includes General Practice Out-of-Hours (GPOOH) and the Scottish Ambulance Service (SAS). 🩺 Research shows that one group frequently using these services is individuals in their last year of life. Although essential, unscheduled care often isn’t the most appropriate option for them, relying on a reactive approach rather than nuanced, anticipatory, and coordinated planning. This can lead to fragmented, expensive, and less effective care, causing additional distress to patients and their families. 💡 Our program will leverage machine learning and artificial intelligence to analyze existing healthcare data and predict future patterns of unscheduled care use by patients in their last year of life. This will help identify those who may need social care reviews, prescribing interventions, or other anticipatory care measures, ultimately reducing their reliance on unscheduled care. 🌟 Excited to be part of this transformative initiative! #HealthcareInnovation #AIinHealthcare #PatientCare #EndOfLifeCare #UnscheduledCare Yale School of Medicine Yale Emergency Medicine Yale Biomedical Informatics & Data Science Yale School of Public Health

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