Innovation, Sustainability and the Future of Healthcare

The days of healthcare as we know it may be limited. Recent advances in biomedical research are paving the way to precision medicine, shifting the historical medical paradigm from the search for a universal solution to the development of personalized treatments. The availability of large volumes of digitized clinical data, combined with the arrival of powerful artificial intelligence (AI) algorithms, may have even deeper implications. From diagnosis to clinical decision-making, from empowering the patient to redefining the role of the physician, big data is becoming one of the cornerstones of medical research and practice. At the same time, the world is seeing dramatic changes in demographics, life expectancy and the prevalence of certain diseases. Together, these three elements (precision medicine, big data and a rapidly changing society) are profoundly transforming the healthcare landscape. The challenge is great, and the opportunities many; and yet the details of the actual implementation are far from clear.

The Project

The Center for the Governance of Change is fully committed to producing scientifically rigourous research, conducted with integrity, full transparency, and outside of any commercial interests. None of the funding bodies have, or wish to have, any power over the results of the research, outputs, and final conclusions of the programme.

The Programme focuses on the question of AI and data-driven technologies in the clinic. The aim is to provide a realistic description of the state of the art of data-driven health care technologies and artificial intelligence (AI) in Europe, in terms of its development, level of implementation, and regulation. In particular, the Center is elaborating a report covering the following topics:

1.    The technological state-of-the-art
2.    The health care AI innovation landscape: European patents and regulations
3.    Skills and expertise in the clinical setting
4.    Public perception of health care AI technologies: a European survey
5.    Data sharing for AI technologies
6.    Integration methods and public-private partnerships
7.    Case studies: Regulation, implementation barriers, and transformation of clinical practice

Researchers

Mireia Crispin

University of Cambridge

Javier Lezaun

University of Oxford

Arantxa Unda

Sigesa

Javier Ellena

Talento Farmacéutico

Malte Gerhold

Care Quality Commission

Saif Ahmad

University of Cambridge

Samantha Law

London School of Hygiene and Tropical Medicine

Stevan Cirkovic

Human Fertilisation and Embryology Authority

Amanda Sissons

League Inc

In partnership with:

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