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On the global stage, AI and Machine Learning (ML) drove drug discovery and process optimisation, especially as large-scale pharma companies adopted AI for precision medicine. Building sophisticated laboratories, recruiting scientific talent, and collaborating with global research institutions are essential steps in this process.
Artificial intelligence addresses key limitations of traditional health technology assessments—such as data gaps and time-intensive processes—through automation, real-time data integration, and advanced predictive modeling, leading to faster and more informed decisions. AI supports personalized medicine and real-world evidence integration.
Congress left Medicare drug pricing to the drug manufacturers, pharmacies, and insurance plan sponsors to determine, and expressly prohibited the government from “interfering” in those private price negotiations under the so-called “Non-Interference Clause” of the Medicare Modernization Act of 2003.
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Those patients would lose insurancecoverage/access to those products, but the PBM was contractually obligated to keep the product on formulary for the other 85% of lives. The loophole I just described was what he used to process that increase. As of Q2 2025, Daraprim remains priced at $750 under its current manufacturer.
They also experience some of the same problems that manufacturers and distributors face, like spotty tracking information due to the manual processes associated with barcode scanning of drugs. Jeff Webber Key Takeaways Real-world data enhances medication safety and supply chain efficiency.
The first one was introduced on September 13, 2020, near the end of Trump’s first term, but was shut down by a federal judge due to the administration’s failure to comply with the proper implementation processes.
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