In virtually every medical bill that’s ever been mailed, there is a breakdown of charges. Fees for one’s hospital stay, charges for tests and medicines, and possibly even bills from different departments. Because of the way healthcare entities are set up, it’s virtually impossible to send a single bill without showing where each dollar is due. Though it may take more time to decipher, the current set up protects both the service providers and their patients.
However, that doesn’t mean the fees themselves can’t be reduced. With big data prediction and analyzing, services (and therefore their fees) can be greatly reduced. By having a better idea as to what will happen – symptoms, diseases, treatment options, etc. – doctors can use fewer resources to pinpoint each issue.
Predictive diagnosis also comes in lieu of the upcoming healthcare reform (PPACA), which is meant to encourage doctor collaboration and reduce patient fees … for both individuals and government-funded accounts. By incorporating software that performs more efficiently than humans ever could, more results are had for less money.
Over time, it’s projected that these perks will only grow. As more data becomes available, as well as the ways in which it’s analyzed, the journey to reduce patient fees becomes a steady, streamlined process.
To learn more about big data and what it can do, click the tabs above.
