Panel discussion: Approaches by national innovators for neighbourhood care

There is an urgent need to improve the way we identify complex, multimorbid patients for review in the community to improve the coordination and clinical value of their care. National innovators for neighbourhood care have been asked to focus their integration energy on patients with multiple long-term conditions. Their machine learning model is designed to assist a clinician in being able to reduce the number of patients for review from many thousands to a few hundred, leading to a more effective use of clinical time and assurance that the right patients are being considered for review. Hear the challenges and solutions to designing and deploying such a model, and the use of the model in a clinical setting.