Collects data from the electronic medical record, medical literature, regulatory warnings and other internet-based public information. Provides analysis of intra-procedural progress that integrates this data with procedural imaging and patient status. Includes predictive analytics with the use of cognitive computing to support optimal clinical decision making."This pitch was little more than a marketed promise of artificial intelligence, of instant processing of black-box algorithms, of equity funding to solve healthcare's less-than optimal patient outcomes using the internet, numbers, cut-copy-and-paste data entry, physician testing scores, in one big algorithmic, dehumanized, robotic mess.
In short, this is what health care market investors see now: a vision where fewer staff, more data entry, and less humanity and human touch are sold as better health care. Worse still, working physicians who remain are being grown and matured in a muzzled petri dish where dissent is openly discouraged by employers and "certifying" bodies.
This data-driven model didn't work out so well for Boeing.
And it won't work so well for health care either.
But don't tell that to the American Medical Association. Because to the AMA, working physicians in the US are little more than data entry ports "Moving Medicine" toward the AMA's latest vision for a business-oriented private equity-driven health care model for tomorrow.