Gene Therapies: Negotiating the Priceless-Insights from the Lyfegen 2024 Drug Contracting Trends Report
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Insights & Articles
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On November 16th, the UK’s MHRA approved Casgevy (exagamglogene autotemcel) or exa-cel for sickle cell disease and beta thalassemia. And this month the FDA is expected to license exa-cel and lovo-cel (lovotibeglogene autotemcel), both of which attack SCD at its genetic root.
For these advanced gene therapies the challenge of access through Medicaid and other programs looms large. Medicaid will be the predominant payer for the 25,000 patients who could be eligible for these gene therapies. And it must figure out a budget-conscious way to pay for these potential one-time “cures.”
In April, the Institute for Clinical and Economic Review issued a draft report on the cost-effectiveness of exa-cel and lovo-cel. ICER noted that the proportion of patients achieving treatment success was 97% for both therapies. Even at the placeholder price of nearly $2 million per dose, ICER says both treatments could be cost-effective. But ICER cautioned that a prerequisite is their durability over time and the establishment of value-based pricing agreements between payers and manufacturers.
The Centers for Medicare and Medicaid Services is therefore pursuing a two-pronged approach to value-based pricing and reimbursement of cell and gene therapies such as exa-cel and lovo-cel.
Related Post: A Promising Sickle Cell Cure Is Almost Here. What About the Money to Pay for It?
First, a proposed rule would require manufacturers with the highest drug Medicaid spending per claim to turn over confidential information justifying their prices. CMS would post this information online, seek public comment, and compel manufacturers to “address” their pricing in a public forum.
Second, CMS is planning on “testing of payment models” based on outcomes-based agreements on behalf of all 50 state Medicaid programs, rather than having them done separately by individual states.
Innovative payment models such as these require the ability to analyze patient outcomes and negotiate prices based on those outcomes. Digital platforms, such as those offered by Lyfegen, are designed to implement value-based contracting models. This investment can yield operational efficiency, recovery of missed revenues, and provide critical access for patients to life-saving drug therapies.
Lyfegen offers solutions to identify the right drug pricing agreements, simulate and understand the financial impacts of those agreements, and automate the execution and adjudication of them—thus delivering a measurable reduction in administrative effort in rebate management and optimization.
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With price tags in the millions, gene therapies are redefining medicine—and reshaping how we negotiate access to it. For both payers and pharmaceutical companies, these breakthrough treatments present a shared challenge: how do you fund what feels priceless?
From Zolgensma to Hemgenix, gene therapies promise one-time cures for rare and life-threatening diseases. But the financial model behind them can’t follow the traditional playbook. These treatments call for a smarter, more collaborative approach to pricing—and that’s exactly what’s taking root.
Why Payers and Pharma Need a New Playbook
Unlike conventional drugs, gene therapies frontload their cost while delivering benefits over time. That disconnect forces a fundamental rethink of how pricing, reimbursement, and risk-sharing are handled.
According to the Lyfegen 2024 Drug Contracting Trends Report, health systems worldwide are moving toward innovative agreements: outcome guarantees, installment plans, and subscription-based models. These aren’t just experiments—they’re becoming essential tools to balance patient access with financial responsibility.
For payers, it’s about managing risk while maintaining equity. For pharma, it’s about demonstrating value in a way that aligns with clinical reality. Either way, the direction is clear: shared risk, shared benefit.
Global Shifts That Are Shaping the Market
The trends are global and accelerating. In the United States, payers like Blue Cross Blue Shield and Medicaid are embracing outcome-based models for sickle cell gene therapies like Casgevy and Lyfgenia. Brazil’s Ministry of Health uses installment payments for Zolgensma, spreading risk over five years while tying reimbursement to real-world outcomes.
In Europe, countries like Spain and Italy combine restricted coverage with annual reassessments, ensuring that high-cost therapies are only reimbursed if they continue to deliver results.
The message? Pricing innovation is no longer a nice-to-have—it’s the only way forward.
How Lyfegen Bridges the Gap
At Lyfegen, we help payers and pharma move beyond the negotiation table—and into action.
• Our Agreements Library, the world’s largest digital repository of value-based contracts, helps you understand what others are doing and where the benchmarks lie.
• Our pricing simulation engine lets both sides explore scenarios before committing—making deals smarter from day one.
• And our automated platform handles everything from contract setup to rebate tracking, saving time, reducing risk, and driving transparency.
A Smarter Way to Fund the Future of Medicine
Gene therapies will continue to challenge the limits of what we think healthcare can afford. But with the right models and tools, both payers and pharma can find common ground—ensuring that innovation reaches the patients who need it most.
Curious about what’s next in drug contracting?
Download the 2024 Drug Contracting Trends Report for exclusive insights, real-world examples, and global benchmarks.
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The UK government is taking a bold step toward modernizing public services by cutting red tape, integrating AI into operations, and bringing NHS England back under direct ministerial control. This reform signals a shift toward efficiency, innovation, and better patient care—one where AI-driven solutions like Lyfegen can play a pivotal role.
NHS England was originally established in 2012 as an arm’s-length organization to insulate the health service from political interference. Over time, however, bureaucracy accumulated, slowing decision-making and increasing costs. With Starmer’s decision to fold NHS England’s functions back into the Department of Health and Social Care (DHSC), the system is poised for a fresh start. This restructuring aims to eliminate redundant roles, reduce administrative waste, and reallocate resources to frontline care—ushering in a new era of efficient and accountable healthcare management.
A key takeaway from Starmer’s announcement is his strong push for automation. The government is aiming to cut administrative costs by 25%, ensuring that resources are directed where they matter most: patient care.
Some of the expected changes include:
By integrating NHS England’s functions into the DHSC, the government is positioned to strengthen and streamline negotiations with pharmaceutical companies. This shift could lead to:
One of the most promising aspects of this reform is the government’s commitment to leveraging AI to transform operations. For an AI-powered platform like Lyfegen, this presents a significant opportunity to deliver real-world benefits in healthcare management. Here’s how Lyfegen can help:
While AI promises to revolutionize healthcare efficiency, successful implementation will require overcoming hurdles such as:
Transforming the NHS is no small task. Beyond balancing innovation and cost, the government must manage vast amounts of healthcare data and navigate the complexities of implementing change at scale. However, Starmer’s announcement represents more than just another cycle of NHS reforms—it’s a meaningful step toward a future where efficiency and technology-driven innovation deliver real, lasting benefits to patients.
At Lyfegen, we’re ready to support this transformation by delivering AI-powered solutions that drive real savings and faster patient access. Let’s build a smarter, more efficient NHS together.
Want to see how our AI-powered solutions can support smarter drug pricing and better healthcare access? Let’s schedule a demo today.
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