About
I work at the intersection of health system innovation, patient pathway redesign, multidisciplinary care, policy and AI-enabled evidence generation.
Professionally, I am Manager at Vintura, where I work on international projects in patient pathways, MDT optimisation and health system transformation. Separately, through teaching, writing and public research, I have also developed Clinical Design as a framework for healthcare implementation.
Across strategy, research and teaching, I am interested in one central question: how therapies, technologies and models of care move from scientific promise to real-world implementation.
Background
I am a healthcare strategist, researcher and educator based in Madrid, working across Europe on the design, adoption and implementation of clinical innovation.
My expertise and impact sit across pharma, hospitals, health systems and policy. Much of it focuses on the real architecture of adoption: patient pathways, multidisciplinary care, referral systems, implementation barriers, governance, incentives and the operating conditions that determine whether innovation is actually used in practice.
I work at Vintura, where I lead and support international work across patient pathway optimisation, multidisciplinary care, health system transformation and public-private collaboration. This has included global and pan-European programmes in oncology and cardiology, bringing together hospitals, experts and institutional stakeholders to identify unwarranted variation, define best practices and improve access in the real world. I led the execution of a project supporting a Canadian hospital network in securing multi-million-dollar funding for digital pathology across its network.
Within my role at Vintura, I act as work package lead at EuroHeartPath, a European cardiovascular consortium focused on transforming care pathways. I also contribute to the European Alliance for Value in Health through Vintura’s secretariat role.
My work and insights are most relevant to leaders working at the interface of healthcare innovation and care delivery, including pharma strategy teams, hospital and clinical leaders, health system decision-makers and selected healthtech founders.
Alongside this, I teach at IE University, where I lead and teach courses on AI and the future of healthcare, life sciences entrepreneurship and clinical data. I have also taught at University College London on AI in healthcare, pharmaceutical R&D, technology management and digital health regulation. I have received five Teaching Excellence Awards at IE. Teaching, writing and public scholarship are also the main platform through which I develop the lens of Clinical Design.
My earlier academic research on ancient genomes was published as first author in Science and Scientific Reports, with international media coverage (Smithsonian, AAAS, Nature News, NewScientist, Cambridge University). My scientific training taught me that rigorous evidence and systems thinking matter. Now I apply both to healthcare implementation.
Recipient of the Nova 111 award in Healthcare in 2021
Areas of Expertise
I work across the full pathway of health innovation, from system design to real-world implementation.
Healthcare implementation
How therapies, technologies and models of care move from approval, pilot or technical validity into routine clinical use.
Health system innovation
How innovation is translated into real-world delivery across hospitals, health systems, governance, and multi-stakeholder environments.
Patient pathway redesign
How diagnostic, referral, treatment and follow-up pathways can be redesigned to reduce delay, fragmentation and unwarranted variation.
Multidisciplinary care
How multidisciplinary teams, clinical workflows and decision structures can be designed to improve coordination, consistency and outcomes.
Value-based healthcare
How outcomes, incentives, measurement and delivery models can be better aligned to support effective, accountable and sustainable care.
Real-world evidence
How data generated in practice can be used to understand variation, evaluate performance and strengthen decision-making beyond trials.
Healthcare AI adoption
How AI tools enter clinical and organisational workflows, and what determines whether they are trusted, governed and used at scale.
Digital health policy and regulation
How regulatory frameworks, public policy and institutional rules shape the conditions under which innovations can be adopted and sustained.
Redesigning Healthcare for the 21st Century
What I work on now
Multidisciplinary care implementation in Oncology
Cardiovascular pathway mapping and system design
Teaching and developing Clinical Design
AI-enabled analysis and evidence generation
I work on how multidisciplinary care models, pathway design and implementation frameworks can improve access, coordination and consistency in oncology. This includes international work on MDT maturity, unwarranted variation and the practical conditions required for better delivery in real-world care.
I contribute to work on how cardiovascular pathways can be mapped, compared and improved across countries, with a focus on variation, bottlenecks and implementation gaps. This includes European work on pathway redesign in areas such as heart failure, coronary artery disease and related care models.
Through teaching, writing and public research, I continue to develop Clinical Design as a framework for healthcare implementation. This includes work on how adoption, evidence, interoperability, ownership and economics shape whether innovation succeeds in practice.
I use AI and public health data to detect structural signals in prescribing, implementation and system performance. This work is focused less on automation for its own sake, and more on generating insight that can inform strategy, evidence generation and better decision-making.
Across these workstreams, I am especially interested in implementation: what breaks between approval and adoption, between scientific validity and routine use, and between pilot success and scalable reality.
Why My Perspective Is Distinctive
My perspective is shaped by four things:
Scientific credibility. I was trained as a scientist, and I care deeply about evidence, precision and conceptual clarity.
Systems range. I have worked across industry, hospitals, academia, policy environments and cross-border collaborations, which makes it easier to see where innovation succeeds or fails across institutional boundaries and delivery contexts.
Execution. I am interested in ideas, but I am even more interested in whether they survive contact with operational reality.
Synthesis. A large part of my work consists of turning fragmented evidence, stakeholder views and system complexity into frameworks, narratives and actions that senior people can actually use.
Public Work and Collaboration
In recent years, I have worked on international programmes involving hospitals and experts across dozens of countries, including efforts to strengthen multidisciplinary care, reduce unwarranted variation, improve equity of access and build transnational frameworks for the adoption of innovation.
I have contributed as an expert to cross-sector policy and innovation initiatives at European level, including Merck’s #FutUReProject. My work has also contributed to policy-facing research and discussion at European level, including a white paper commissioned by Haleon that was presented and discussed at the European Parliament.
I am particularly interested in work that sits between sectors: public-private collaboration, coalition building, implementation frameworks, pathway redesign, healthcare AI, and the future governance of complex health systems.
Teaching, Writing and Speaking
Teaching has become an important part of my work. At IE University, I have taught across undergraduate and master's programmes and have received five IE University Teaching Excellence Awards. Writing and speaking play a similar role for me: they are ways of clarifying ideas, testing frameworks and contributing to how the field evolves.
Through this site and through The Clinical Decade, I write about clinical design, patient pathways, health systems, AI-enabled evidence generation and the future of healthcare implementation.