This is slightly off topic, but I think it's not just the application of computing power to medical data, but the application of computing power to control and recover a lot of costs has generally been so successful that I think it's actually cutting the "slack" out of the economy and contributing to the decline of the middle class and growing economic inequality.
They're shaving the savings off the top and putting it in their own pockets, but the economic byproducts of the savings (cheaper goods) doesn't offset the economic loss of the savings not being spent on goods and labor, like additional inventory or additional workers.
Say a business sells a widget for $10. Their cost to make the widget is $4 and because of imperfect data/processing, sales forecasts, shipping, etc are all less accurate. They have to carry inventories to meet customer needs. Inventories require workers, facilities (which need construction...), they have to buy more raw materials. So $2 is added in overhead to the $4 and the profit on the widget is only $4.
With improved data/processing, they gain efficiencies. They carry as close to zero inventory as possible. They buy less raw materials. Need fewer workers. Smaller facilities (...less construction, fewer carptenters, less building materials, less ....) and so on. But the nominal cost of the widget doesn't go down, but the margin increases to $5 per widget because they save $1 in costs.
Since the price of the widget doesn't go down and at best rises slower, the consumer is only marginally benefitting, especially since the depressed employment resulting from greater operating efficiency results in lower wages, further mitigating any price declines or slowing price increases.
The $1 that was previously "lost" on administrative costs is now executive salaries, bonuses and benefits where it produces less economic impact than had it been spent on productive economic activity.