How insurers secretly blacklist millions with common ailments

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http://www.mcclatchydc.com/330/story/65010.htmlPosted on Sun, Mar. 29, 2009How insurers secretly blacklist millions with common ailmentsJohn Dorschner | Miami Heraldlast updated: March 30, 2009 12:29:08 AMTrying to buy health insurance on your own and have gallstones? You'll automatically be denied coverage. Rheumatoid arthritis? Automatic denial. Severe acne? Probably denied. Do you take metformin, a popular drug for diabetes? Denied. Use the anti-clotting drug Plavix or Seroquel, prescribed for anti-psychotic or sleep problems? Forget about it.What's more, you can discover that if you lie to an insurer about your medical history and drug use, you will be rejected because data-mining companies sell information to insurers about your health, including detailed usage of prescription drugs.These issues are moving to the forefront as the Obama administration and Congress gear up for discussions about how to reform the healthcare system so that Americans won't be rejected for insurance.It's especially timely because growing numbers are looking for individual health insurance after losing their jobs. On top of that, small businesses, which make up the bulk of South Florida's economy, are frequently finding health policies too expensive and are dropping coverage, sending even more people shopping for insurance.The problem is, material available on the Web shows that people who have specific illnesses or use certain drugs can't buy coverage.''This is absolutely the standard way of doing business,'' said Santiago Leon, a health insurance broker in Miami. Being denied for preexisting conditions is well known, but when a person sees the usually confidential list of automatic denials for himself, "that's a eureka moment. That shows you how harsh the system is.''Read the complete story at miamiherald.com =====In accordance with Title 17 U.S.C. Section 107, this material is distributed without profit to those who have expressed a prior interest in receiving the included information for research and educational purposes.