From regulatory policies to new models of care, the health industry is changing at a breakneck speed. Keeping up and predicting outcomes can seem like a daunting task for health organizations. It doesn’t have to be.
Using machine learning, data analytics and artificial intelligence, organizations can now create a digital twin of the entire health ecosystem to play out and analyze how different scenarios and decisions impact outcomes. With this robust view, organizations unlock more dynamic and resilient approaches to solving problems, as they learn to better sense, think, and act, from strategy to execution.
Sense: Continuously sense external market changes in an automated manner to identify evolving issues and enable organizations to formulate a response
Act/Learn: Continuously monitor and track performance and use ‘reinforcement learning’ to dynamically adjust and improve performance
Think: AI-enabled system dynamic model that creates a digital “twin” of a market to simulate agency-based decisions in a localized and segment-specific manner
Principal, PwC US