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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.
Need for New Shopping Tools on HealthCare.gov Many of the issues raised in the 2025 NBPP, such as nonstandard plans and auto re- enrollment, focus on the need to ensure people are in plans that best meet their needs. This often is difficult for people to achieve given the current information and tools available to patients on Healthcare.gov.
The NHC supports the development and use of processes and tools that enhance beneficiary experience, making interactions with the MPPP smoother and more intuitive for all beneficiaries. Similarly, updating the Explanation of Benefits to include visual aids and examples will clarify MPPP’s impact on cost-sharing and coverage.
The NHC supports the development and use of processes and tools that enhance beneficiary experience, making interactions with the MPPP smoother and more intuitive for all beneficiaries. Similarly, updating the Explanation of Benefits to include visual aids and examples will clarify MPPP’s impact on cost-sharing and coverage.
CY 2025 PFS proposed rule). As these technologies become increasingly integral to patient care, it is essential for CMS to develop clear and consistent guidelines for the payment and coverage of AI-enabled services. The NHC also emphasizes the importance of continuous evaluation and improvement.
16 We encourage CMS to continue refining these data collection processes to ensure they capture meaningful and actionable information. We believe this process is crucial for adapting the payment system to evolving clinical practices and emerging medical technologies.
3 Establishing a feedback loop with stakeholders during this monitoring process will provide additional safeguards against adverse effects. Engaging stakeholders in transparent decision-making processes is critical to the success of risk adjustment model updates.
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