The Office of the National Coordinator (ONC) and CMS both posted their final rules for electronic health records (EHRs), and analysts with Cowen Washington Research Group said both rules essentially replicate the draft versions. The provisions dealing with data blocking and interoperability are expected to benefit developers of HER systems in the near term, and telehealth should also benefit, albeit over a longer scale of time.
Device makers have been scrambling for space in value-based care arrangements even though the pace of adoption of those arrangements has been somewhat tepid. While device makers are not explicitly included in a proposed overhaul of the Stark and Anti-Kickback Statute (AKS) regulations, providers may soon be more engaged in these arrangements, thus providing device makers with more opportunities even if they are not included in the rewrite of the related regulatory provisions.
Deciding which patients should go into the intensive care unit (ICU) after surgery is a difficult call and typically made entirely at the surgeon's discretion. The result is that surgeons typically err on the side of caution by putting more post-operative patients in the ICU than necessary. To aid in better ICU decision-making, physicians at New York University Langone Hospital System (NYU Langone) developed a machine learning algorithm that combs through a patient's electronic medical record to identify relevant factors to determine if they needed the ICU after surgery.