About 1 in 3 U.S. adults have high blood pressure—and you could be one of them. If you haven’t checked your blood pressure lately, now’s the perfect time. High blood pressure usually has no signs or symptoms, but it can lead to a higher risk of heart d…
Medicare and Medicaid Programs; Risk Adjustment Data Validation
This document extends the comment period for the Risk Adjustment Data Validation (RADV) provisions of the proposed rule titled “Medicare and Medicaid Programs; Policy and Technical Changes to the Medicare Advantage, Medicare Prescription Drug Benefit, Program of All-inclusive Care for the Elderly (PACE), Medicaid Fee-For-Service, and Medicaid Managed Care Programs for Years 2020 and 2021” that was published in the November 1, 2018 Federal Register. The comment period for the RADV provision of this proposed rule, which would end on April 30, 2019, is extended by 120 days until August 28, 2019. This document also announces that CMS will be releasing additional data underlying the FFS Adjuster Study released October 26, 2018.
Agency Information Collection Activities: Submission for OMB Review; Comment Request
The Centers for Medicare & Medicaid Services (CMS) is announcing an opportunity for the public to comment on CMS’ intention to collect information from the public. Under the Paperwork Reduction Act of 1995 (PRA), federal agencies are required to publish notice in the Federal Register concerning each proposed collection of information, including each proposed extension or reinstatement of an existing collection of information, and to allow a second opportunity for public comment on the notice. Interested persons are invited to send comments regarding the burden estimate or any other aspect of this collection of information, including the necessity and utility of the proposed information collection for the proper performance of the agency’s functions, the accuracy of the estimated burden, ways to enhance the quality, utility, and clarity of the information to be collected, and the use of automated collection techniques or other forms of information technology to minimize the information collection burden.
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