How to Take American Health Care From Worst to First (Kerry, Gingrich, Beane)

IN the past decade, baseball has experienced a data-driven information revolution. Numbers-crunchers now routinely use statistics to put better teams on the field for less money. Our overpriced, underperforming health care system needs a similar revolution.

Data-driven baseball has produced surprising results. Michael Lewis writes in “Moneyball” that the Oakland A’s have won games and division titles at one-sixth the cost of the most profligate teams. This season, the New York Yankees, Detroit Tigers and New York Mets — the three teams with the highest payrolls, a combined $486 million — are watching the playoffs on television, while the Tampa Bay Rays, a franchise that uses a data-driven approach and has the second-lowest payroll in baseball at $44 million, are in the World Series (a sad reality for one of us).

Remarkably, a doctor today can get more data on the starting third baseman on his fantasy baseball team than on the effectiveness of life-and-death medical procedures. Studies have shown that most health care is not based on clinical studies of what works best and what does not — be it a test, treatment, drug or technology. Instead, most care is based on informed opinion, personal observation or tradition.

It is no surprise then that the United States spends more than twice as much per capita on health care compared to almost every other country in the world — and with worse health quality than most industrialized nations. Health premiums for a family of four have nearly doubled since 2001. Starbucks pays more for health care than it does for coffee. Nearly 100,000 Americans are killed every year by preventable medical errors. We can do better if doctors have better access to concise, evidence-based medical information.

http://www.nytimes.com/2008/10/24/opinion/24beane.html?th&emc=th