Beyond Reimbursement: Why Market Access is MedTech’s Strategic North Star
Companies that embed Market Access early in innovation are the ones best positioned to navigate the changing global landscape.
Companies that embed Market Access early in innovation are the ones best positioned to navigate the changing global landscape.
To achieve medical Device Interoperability, system boundaries need to be defined, system architecture needs to be aligned, and interfaces and communication protocols need to be established across individual components of the medical device. In some cases, it is as important to design and implement QMS Interoperability as it is to design Device Interoperability.
What is driving the need for increased transparency across the MedTech organization relative to product innovation, development and commercialization?
The next phase of digital mental health adoption depends less on innovation and more on how the industry uses real-world evidence, builds reimbursement frameworks, and applies regulatory precedent to accelerate scale.
A recent survey of 2,000 UK patients found one in four patients (24%) already use AI for health guidance, and nearly one in three (30%) would be willing to consult AI or social media rather than wait to see a clinician. Despite this growing reliance on digital tools, the same survey revealed a disconnect in patient confidence, with almost 80% reporting that they do not feel fully in control of their healthcare. How might ChatGPT Health accelerate this shift, as well as what needs to happen to ensure AI adoption genuinely empowers patients rather than adding further complexity?
The initial fear that the artificial intelligence and machine learning evolution will replace humans is shifting. A new narrative recognizes the potential for an AI-enabled workforce — one where the technology is a jobs creator, enabling us all to be more productive rather than making millions of people redundant or obsolete — actually giving rise to the multi-disciplinary, power employee.
President Trump’s 2025 executive order establishing artificial intelligence (AI) in pediatric cancer as a national priority marks a turning point in medicine. For decades, childhood cancer treatments have advanced slowly, constrained by limited data, small clinical trials, and therapies designed for adults. The convergence of AI and Functional Precision Medicine (FPM) now offers a path to faster, more accurate, and more personalized treatments for children, one that replaces population-based best guesses with evidence-driven precision care.
The Service+Tech model embeds AI into the workflow of regulatory experts rather than treating technology as a standalone tool; an approach allowing organizations to adopt AI immediately, with no risk and no R&D investment, while keeping full confidence in the accuracy and regulatory readiness of submissions.
The physician has a unique perspective that non-clinical investors don’t: they know firsthand whether a technology will be adopted. They deeply understand if it truly is better for them and their patients.
A new EU Commission study on the Deployment of AI in Healthcare makes one thing crystal clear: AI isn’t just a buzzword, it could be the lifeline our systems desperately need.