A blog post on Random Critical Analysis argues that high wealth (proxied by high consumption) rather than GDP explains US health care expenditures.
Total per capita health care spending increases as wealth increases because people actually demand more goods and services (volume) per capita and because it is relatively labor intensive sector that does not enjoy the productivity gains found in some other sectors of the economy, i.e., overall costs increase through both volume and price together (volume * price). GDP per capita is a relatively weak measure for these purposes and those few other high GDP countries happen to be much more export dependent (which does not independently predict significant increases in expenditures). If you use a better measure like Actual Individual Consumption (AIC) or run multiple regression analysis on GDP expenditure categories most of the apparent excess health care spending shrinks quite dramatically.
Additional analysis of several major claims here (e.g., high prices due to limited market power of payers, high physician incomes, etc) show that these arguments suffer from similar issues. The best available evidence show that across multiple measures our healthcare labor costs and overall apples-to-apples price levels are generally very much inline with our material standard of living. US total per capita costs are probably somewhat more than expected, but this appears to be driven through higher volume (~100% more than EU28 average according to PPP study estimates), though even this is significantly, if not quite entirely, explained by our higher material standards of living.