Tag Archives: Moneyball analytics

Manage population health for low-risk, high-reward outcomes

In our past posts, we shared how Billy Beane transformed the Oakland Athletics baseball team into a perennial contender using data and analytics. The now-famous “Moneyball” strategy has allowed the A’s to field players who bring the greatest reward (wins) for the lowest risk (wasted budget). As health care organizations continue their journey toward value-based […]
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The journey toward better patient care never really ends

Take a look at the Oakland Athletics baseball team today and it may not seem like much of a success story. The team hasn’t won a World Series since 1989 and has made the playoffs only eight times in the past 17 years. They aren’t that good, right? Peer deeper and you’ll discover that the […]
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Create a blueprint for patient care based on data and analytics

Billy Beane, the man made famous by Moneyball, didn’t turn the Oakland Athletics into contenders by following standard measurables — home runs, RBI, etc. — for professional baseball players. Instead, he focused on little-used metrics that made a big difference in wins and losses. He created a plan and stuck to it. And he changed […]
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Managing risk requires finding and treating your costliest patients first

Statistical analysis used by Billy Beane to mold the Oakland Athletics of the early 2000s into winners wasn’t new by any means. The Brooklyn Dodgers hired a statistician in 1947 who advocated using players adept at getting on base. It took Major League Baseball more than half a century to embrace the use of data […]
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The right data can mean the difference between winning and losing

In the early 2000s, the Oakland Athletics were the measuring stick for how to win ballgames. The A’s won more than 100 games in both 2002 and 2003. They made the playoffs four consecutive years. And the team did it with the sixth-smallest payroll in Major League Baseball. General manager Billy Beane was the mastermind […]
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