Obtaining adequate payments for your customers requires a strategy that addresses all stakeholders and employs well-defined tactics. Medicare is the largest insurer in the U.S. and has the most influence, but represents only one piece of the payment puzzle. The U.S. healthcare system also has a large number of private insurance programs; the goal is to obtain reimbursement from all of them. To do so, medical device manufacturers must work with myriad stakeholders to influence reimbursement. This course will teach you who to work with, what tactics and data to use and how to fashion the winning reimbursement strategy.
U.S. Reimbursement of Medical Devices
May 13th, 2008May 14th, 2008
London, --
GB
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![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)




