Optimizing community health ROI:
An integrated delivery network invested widely in community health, but did not know whether they were driving the full impact possible for each dollar spent.
Using a combination of simulation modeling and machine learning PwC forecasted future health needs, drivers of future poor health, and ROI for 21 interventions in one target city.
Community health investments can now be informed by the future impact of potential investments made today on health, wellbeing and medical costs .
Behavioral segmentation within a disease category
A city needed assistance in analyzing their population and projecting the impact of several potential interventions to reduce diabetes-related healthcare costs.
Using Behavior Predictor, PwC took a three step approach: 1) Analyzed city data and identified population at top 15% risk for diabetes; 2) Discovered 3 segments within top risk tier, with distinct types of motivations and behaviors and 3) Identified most effective intervention levers for each distinct, high-risk segment.
Through our work, we were able to project the health and financial impact of several community-level interventions and identified upwards of $40M in possible cost savings.
Uncovering treatment behaviors, motivators, and preferences
A children’s hospital wanted to transform their patient experience, but needed insight into their key patient segments in order to drive impact.
Using our machine learning tool Behavior Predictor, we developed a synthetic population of parents of children with key conditions treatable by the hospital. We clustered these populations to develop personas, which uncovered behaviors, motivators, and preferences for 3 key patient parent segments that each create a different level of profitability for the hospital.
By coupling insight into social barriers, payer mix, healthcare utilization patterns and preferences, and behavioral motivators of each segment with financial and health outcome impact analysis, the hospital was able to prioritize top tactics that improve their patient experience in the long term.