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Episode 3 - The Far-Reaching Burden of Rare Diseases
In addition to the substantial clinical challenges that are associated with managing rare diseases such as hemophilia and SLE, optimally treating those patients are often tied to heavy economic burden that may often exceed $100,000 per year per patient. And while the total healthcare budget impact is minimal, managed care authorities are tasked with designing protocols that ensure the appropriate use of medications, deriving the highest value from the high cost therapies. While guidelines provide useful reference points in approaching rare conditions, they do not necessarily define the process of identifying the right patient and channeling them towards the right clinical care strategy, while minimizing waste and managing disparities in expectations.
Trump Administration’s Message to Supreme Court Puts New Wrinkle in Braidwood Case
February 21st 2025The Trump administration argues that HHS Secretary Robert F. Kennedy Jr can overrule the US Preventive Services Task Force to determine the preventive services covered under the Affordable Care Act.
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Varied Access: The Pharmacogenetic Testing Coverage Divide
February 18th 2025On this episode of Managed Care Cast, we speak with the author of a study published in the February 2025 issue of The American Journal of Managed Care® to uncover significant differences in coverage decisions for pharmacogenetic tests across major US health insurers.
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5 Key Health Care Moments During President Trump's First Month Back in Office
February 21st 2025President Donald J. Trump pushed for significant health care changes during his first month back in office, through executive orders affecting managed care, drug pricing, and clinical trial diversity guidance.
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NSCLC Advancements Offer Hope, but Disparities Persist
February 20th 2025Ioana Bonta, MD, Georgia Cancer Specialists, discusses the evolving state of non-small cell lung cancer (NSCLC) treatments, their impact on patient outcomes, and the need to address ongoing disparities in these populations.
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