In value-based care, nothing happens without access to robust data. It powers everything from advanced analytics to predictive AI models. It provides a holistic picture of population health and individual patient needs, informing appropriate care interventions that improve outcomes and reduce costs. As AI tools become more prevalent in healthcare generally, and in value-based care specifically, it’s critical to get the data foundation right.
But healthcare data is, and has always been, extremely challenging. Organizations need enterprise data management capabilities that can securely bring extensive datasets together seamlessly and move beyond retrospective auditing of what happened in the past to proactively managing patient care today, and anticipating patients’ needs in the future to p