Surgery Partners is an acquisition machine. As one of the largest ambulatory surgery
center operators in the country, they grow by buying surgical facilities—deploying
hundreds of millions annually on M&A. But every acquisition brought a new problem.
Each acquired facility came with its own EHR system, its own financial platform,
its own legacy databases. The network was growing faster than their ability to
integrate it. Over 100 facilities generating mountains of data, and none of it
could talk to each other.
They'd already tried to solve this. Four different consulting firms had attempted
to build a unified data warehouse. Four times, the projects had failed. Millions
spent. Years wasted. The data silos remained—and new acquisitions kept adding more.
The executive team was skeptical. Why would the fifth attempt be any different?