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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

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