Population segmentation analysis will help you identify patients who are the highest-cost users across care settings. It will provide you with a greater understanding of the patient characteristics and needs for specific segments, including wider determinants of health. Using unsupervised machine learning techniques to identify further patient segments and inform the current rules-based approach, we will identify patient characteristics that are drivers of demand on care services within the region, as well as costs for these patient segments.
Multi-dimensional analysis to identify segments of the population who are driving cost and utilisation, to plan tactical or longer-term preventive interventions.
Including an understanding of any health inequalities, as well as the social, economic and environmental factors across your population
To help you focus on new and targetted services and interventions
Know which subgroups of high-risk patients will be most amenable to different forms of preventive care
