Successful health care product innovations are more than high end engineering and design. They require a clear understanding of the best “fit” between a market (at risk population) need and the external (drivers of variability) and internal (capabilities, what is actionable) factors that, when taken together, reveal promising avenues for innovation. Identifying data and metrics to codify this understanding helps product teams move past solely relying on measurement of past and current performance (“what is”) toward creating the vision for what should come next (“what could be”). Predictive modeling plays a central role in unlocking the most promising opportunities to create something truly new and innovative.

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