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Opinion: STAT+: Former Geisinger CEO: U.S. health systems must replace huge numbers of people with AI
About 20 years ago, I stepped on stage at one of our Geisinger town halls and looked out upon a sea of people: thousands of full-time employees at an integrated health system charged with the health and well-being of millions of Pennsylvanians.
Only a fraction of the people in that room were clinicians.
That was the first time I fully visualized the problem: We employed more people in our revenue cycle department to process bills and reconcile data than we did doctors. And we weren’t alone. It’s the same story at every health system in America, large and small, and over the past two decades, the ratio has become dramatically more disparate.
About 20 years ago, I stepped on stage at one of our Geisinger town halls and looked out upon a sea of people: thousands of full-time employees at an integrated health system charged with the health and well-being of millions of Pennsylvanians.
Only a fraction of the people in that room were clinicians.
That was the first time I fully visualized the problem: We employed more people in our revenue cycle department to process bills and reconcile data than we did doctors. And we weren’t alone. It’s the same story at every health system in America, large and small, and over the past two decades, the ratio has become dramatically more disparate.