Quai.MD
Nadav Elyakim is a data scientist and AI developer at Quai.MD since February 2024, following an extensive career with the Israeli Air Force from July 2015 to July 2023 as the BI development and analytics group leader. In this role, Nadav led the initiation, development, and implementation of BI systems across various disciplines, fostering a data-driven culture within the organization. Nadav also served as Chief Operations Officer during this time. Academic credentials include a Master of Science in Machine Learning and Data Science from Reichman University and a Bachelor's degree in Information Systems Management from Ben-Gurion University of the Negev.
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Quai.MD
Quai mitigates care variability by standardizing physician’s decision making with an AI-based platform for personalized clinical pathways. Clinical pathways are decision trees, defined based on medical research, for patients with a certain condition. Quai captures these pathways, personalizes them using its proprietary AI-engine, and presents them to the physician at the point of care. Physicians trust our platform because it builds on evidence-based pathways. Physicians love our platform because we make those pathways accessible, translating them into a live and interactive click-through tool that is embedded within their workflow. Physicians feel empowered by our platform because our AI-engine tailors the pathway to the specific patient, while allowing physicians full flexibility to choose whatever path they see fit.