On February 28, 2018, the United States District Court for the District of New Mexico issued a decision invalidating use of the statewide average premium by the Center for Medicare & Medicaid Services (CMS) in the risk adjustment transfer formula established under section 1343 of the Patient Protection and Affordable Care Act for the 2014 – 2018 benefit years, pending further explanation of CMS’s reasons for operating the program in a budget neutral manner in those years.
Today, the Centers for Medicare & Medicaid Services (CMS) announced the agency’s first Data Element Library (DEL). The DEL is a new CMS database that supports the exchange of electronic health information. Using this free, centralized resource, the public for the first time can view the specific types of data that CMS requires post-acute care facilities (such as nursing homes and rehabilitation hospitals) to collect as part of the health assessment of their patients.
The Centers for Medicare & Medicaid Services (CMS) today issued a final rule with comment period that updates payment policies and rates for physicians and nonphysician practitioners (NPPs) for services paid under the Medicare Physician Fee Schedule (MPFS) in calendar year (CY) 2012.
Today the Centers for Medicare and Medicaid Services (CMS) announced results from the initial Physician Group Practice (PGP) Demonstration, a landmark partnership with physician group practices that aims to better coordinate care across different settings, leading to improved quality and cost savings.
The Centers for Medicare & Medicaid Services (CMS) today announced a final rule reducing Medicare skilled nursing facility (SNF) Prospective Payment System (PPS) payments in FY 2012 by $3.87 billion, or 11.1 percent lower than payments for FY 2011.
On the heels of the White House launch of the Campaign to Cut Waste - an administration wide initiative to crack down on waste, fraud and abuse, the Centers for Medicare & Medicaid Services (CMS) announced today that starting July 1, it will begin using innovative predictive modeling technology to fight Medicare fraud.