Deep learning on electronic medical records is doomed to fail
<a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Carte_Vitale" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Carte_Vitale</a><p>France&#x27;s system is universal and private (private docs, insurance, and reference pricing -- a service has a single fee across coherently regulated payers).  They have had a standardized medical record for 20+ years.  One system and one medical record for everyone. WHO ranked #1 healthcare in the world (to US ~40th) at 1&#x2F;2 the cost per capita of US healthcare.  This is catastrophic legislative failure for a problem largely solved by lots of other people around the world.<p>The legislative failure has created vast administrative overhead (10, or more, staff per doc at a hospital) and corrupt insurance companies. When an insurance company has to pay a claim, they call it a &quot;medical loss&quot; (they had the money and they lost it).  They make their money on poor service and deceit -- charging wildly different prices for the same product where they can get away with it).  In France, an insurance company, by law, has to pay a claim to a practice in a few days.  Imagine the decreased capital needs for running a medical practice or a hospital.<p>The hospitals are not blameless in all this, but the heart of it is the payer system&#x2F;s.