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Contact information


baptiste.vasey@nds.ox.ac.uk

Biography

Baptiste obtained a Master of Medicine from the University of Zurich, Switzerland, and passed the Swiss Federal Medical Licensing Examination in September 2017. His Master’s thesis focused on the effects of microgravity on the cytoskeleton of macrophages, under the supervision of Prof Oliver Ullrich and Dr Cora Thiel.

Following graduation, he was awarded one of the four Swiss Mercator Fellowships on International Affairs to investigate the potential of computer-aided decision support to improve access to appropriate healthcare in low-resource settings. As part of this fellowship, he sequentially joined the NGO Terre des Hommes in Burkina Faso, working on IeDA, Western Africa’s largest mHealth project, the WHO Global Coordination Mechanism on the prevention and control of NCDs at the organisation’s Headquarters in Geneva, and the MIT Gehrke Lab, under the supervision of Dr Irene Bosch and Dr Anuraj Shankar (Harvard T.H. Chan School of Public Health) investigating new biomarkers for the detection and classification of dengue fever.

For his DPhil, Baptiste was awarded a Berrow Foundation Lord Florey scholarship at Lincoln College, University of Oxford, and joined the Nuffield Department of Surgical Sciences. He completed his thesis developing the DECIDE-AI guideline under the supervision of Prof Peter McCulloch, Prof David Clifton, Prof Peter Watkinson and Dr Lauren Morgan.

He is currently a clinical research fellow at the Nuffield Department of Surgical Sciences and a surgical resident within the Division of Thoracic and Endocrine Surgery at the Geneva University Hospitals in Switzerland.

Baptiste Vasey

DPhil (Lincoln College, class of 2018), Swiss Federal Medical Licensing Examination (2017), Master of Medicine (University of Zurich, 2017)

Clinical Research Fellow

  • Surgical Resident (Division of Thoracic and Endocrine Surgery, Geneva University Hospitals, Geneva, Switzerland)

My research focuses on the life cycle evaluation of digital health technologies (DHT), with a special interest for artificial intelligence (AI), from pre-clinical development to long-term monitoring. A thorough and phased approach to the evaluation of medical innovation is of paramount importance to ensure a safe and effective use of technology in clinical settings.

As part of a large European consortium, the ASSESS-DHT project, I am currently working on the development of a life cycle-based approach to Health Technology Assessment (HTA). It is the process by which evidence about the medical, economic, social and ethical impact of a health technology is appraised in order to determinate its value for the healthcare system.

Based on the IDEAL framework for the evaluation of surgical innovation, our work aims at identifying, through literature search, methodological reviews, consensus process and pilot studies, the crucial HTA requirements at each stage of a DHT development. Such approach to HTA, if consistent across the different European countries, would not only improve the quality of the DHT used in clinical settings and offer more clarity to developers, but would also allow more efficient access to technologies targeting rare diseases or needed rapidly in case of a health crisis.

Previously, during my DPhil thesis, my interest in AI being used as adjunct, rather than replacement, to human intelligence led me to investigate how AI-based algorithms should be evaluated at the early stage of their clinical implementation. This stage indeed offers unique opportunity to validate the clinical utility of an AI system, test its safety profile, refine its usability and prepare a solid ground for further comparative studies. Together with an international steering group of clinicians, developers, experts in machine learning, human factors, guidelines development, evaluation methodology and ethics, we developed the DECIDE-AI guideline. This guideline aims to improve the reporting on early-stage clinical evaluation of decision support systems driven by AI, which can be compared to phase 1/2 trials for drugs development or IDEAL stage IIa/IIb studies for surgical innovation.

Key publications

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