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Baptiste Vasey MMed

DPhil Student

Biography

Baptiste is a medical doctor from Switzerland, whose research interest focuses on machine learning applications to support clinicians' decision-making and improve the management of patients deteriorating after surgery. His objective is to develop models capable of providing clinically useful information based on similar patients' trajectories.

Following graduation from the University of Zurich in 2017, he was awarded a one-year Mercator Fellowship 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 spent three months in Burkina Faso working on IeDA, Western Africa's largest mHealth project, optimising the clinical application's decision tool. He subsequently joined the WHO Global Coordination Mechanism on the prevention and control of NCDs in Geneva and collaborated as a visiting scientist with the MIT Gehrke Lab in Boston, where he investigated biomarkers for the detection and classification of dengue fever.
Baptiste is a Berrow Foundation Lord Florey scholar at Lincoln College.

Research Interests

Baptiste's research focuses on computer-aided decision support to improve the management of patients deteriorating after surgery. Although scores and algorithms for the early detection of patients’ deterioration are nowadays commonly used, little is known about the best way to use the enormous amount of data routinely collected in hospitals to better inform physicians’ decision-making when reacting to an alarm trigger.

Current Projects

Baptiste’s project investigates how the linking of a new patient to a cluster of similar former patients could provide clinicians with insights on clinical trajectories and appropriate treatment. To this end, he collaborates with the HAVEN team, led by Dr Peter Watkinson. The detailed information on inpatients contained in the project’s database makes it unique in the field and a precious source of data to inform better clinical management. Many key components of decision-making depend on the interaction between the human operator and its environment. His research will therefore also include human factor investigations on information needs and display under the supervision of Dr Lauren Morgan, human factors specialist with HAVEN and the Patient Safety Academy.

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