Category: Health Reform

Low Cost Dentistry is Possible, But Not Allowed in Most States

Posted on by Devon Herrick

I went to my dentist a month or two ago. I was shocked by the price for a deep teeth cleaning. A teeth cleaning is included with an annual membership and the deep cleaning is an upcharge from the basic cleaning. I suspect my dentists requires a deep cleaning as a way to charge as much for my free service as the service usually costs retail. I’m in and out of his office in less than 30 minutes usually.

At my last visit the annual membership fee was also due, so my total bill was enough to buy an iPhone 11 on eBay. I don’t think I even spoke to the dentist during the visit; I just met with the dental hygienist. Why was the price so high?

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Saturday Links

Posted on by John C. Goodman
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Biden’s Cancer Moonshot Cancelled

Posted on by John C. Goodman

What if we could detect almost all cancers in the earliest stages when less-invasive treatments mean lifesaving cures? The answer: Mortality rates — and health care costs — would plummet because most cancers could be cured or controlled using existing therapies.

The good news is this innovation exists today in the form of multi-cancer early detection (MCED) from one blood test. The bad news is we don’t have an Eisenhower administration determined to deliver a medical game-changer to as many Americans as possible.

Instead, we have a Biden administration — in the form of the Federal Trade Commission and Chair Lina Khan that Biden named to head it — standing in the way and creating an impenetrable barrier to access to millions of cancer patients.

Rep. Darrell Issa in The Hill

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AI Practicing Medicine

Posted on by John C. Goodman

Former FDA Commissioner Scott Gottlieb:

Artificial intelligence has the potential to help solve some of the most frustrating problems in health care. Clinicians may use it to stratify patients more precisely according to their personal risk and to identify increasingly tailored treatments that simultaneously account for a patient’s clinical history, genomic profile, and phenotypic characteristics. The combination of statistics and weighted observations in a neural network can be highly predictive. This is true even though each output for an individual patient is likely to differ from any other patient in a validation model, and even though the variables, when taken individually, are not likely to be nearly as predictive.

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