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About DataMED Lab

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DataMED Lab conducts two main types of studies to advance clinical decision-making and healthcare delivery. The first are data-driven projects that leverage large datasets from various healthcare sources. Advanced machine learning techniques are applied to build predictive models, evaluate technologies, and optimize resource allocation.

The second type of study takes place in the Computer Lab. Through simulated patient case scenarios, this environment assesses how clinicians arrive at decisions. Tools like machine learning, natural language processing and large language models analyze rationales. Interventions are then piloted to augment the decision process.

Overall, by combining real-world health data analytics and simulated clinical reasoning research, we aim to enhance decision support tools. The goal is providing evidence to drive policies that support both providers and patients for more efficient, effective and equitable healthcare worldwide.

Photo by Accuray on Unsplash

Meet the Team

Oded Sabah, Data Scientist 

As an optimization modeling expert at DataMED Lab, I develop and implement advanced mathematical models to drive optimal decision-making and resource allocation within healthcare systems, leveraging techniques like linear programming and integer programming.

David Guy, Technical and operational lab manager

As the Technical and Operational Manager, I oversee the laboratory's technical operations, implement procedures, manage equipment and inventory, ensure compliance, and optimize processes for efficient research and analysis.

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