Providers utilize business intelligence to monitor referral patterns and collaborate with clinicians who order their services. Such analytics tools have also been deployed in the specialty to improve productivity, track patient satisfaction and bolster quality.
The state is accusing the insurer of colluding with the broader Blue Cross Blue Shield network to stifle competition and control prices. BCBSM denies the allegations.
The hack, which was revealed earlier this year in a report from Bleeping Computer, is said to have been limited to a legacy server. Oracle denied its cloud environment had been compromised.
Independence Blue Cross, the largest medical insurance provider in the Philadelphia area, does not admit to wrongdoing. It was accused in a lawsuit backed by the U.S. Department of Justice of misrepresenting the severity of patient illnesses to juice risk-adjusted Medicare payments.
With its $350M in new funding, EliseAI said it plans to build out its technology and sales force. It currently works with specialty provider groups to automate practice operations such as scheduling and insurance verification.
There’s no shortage of resources for healthcare workers who wish they knew AI well enough to talk shop with the technology pros who develop the models. The problem is weeding through the offerings to get to what will really work for you.
Discussions of AI governance may cause many an eye to glass over, but the discipline is as crucial to the ascent of AI in healthcare as big training datasets drawn from diverse patient populations.
For whatever reason, the grownups seem to get all the attention when talk turns to AI in healthcare. All the kiddos get to do is look on and listen in. Now comes a worthy little effort to balance the seesaw.