An interactive training curriculum for clinical reasoning

Collaborative Projects Between NUS Yong Loo Lin School of Medicine and Med2Lab Inc.

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Clinical Reasoning
= thinking about the patient and the clinical scenario in a logical, sensible way

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Ideally, the provider uses robust clinical reasoning to ...

1) prioritize patient information correctly
2) customize the approach based upon that individual patient’s concerns, and
3) provides efficient and effective treatment

However, in reality, providers often use pattern recognition and offers a series of guesses about the patient’s ailment

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This pattern recognition-driven thinking is subject to the provider’s quantity and quality of experience, as well as bad thinking habits, that lead to unnecessary tests and delayed or ineffective treatment

What’s wrong with the status quo?

Current teaching in medical schools and textbooks are based on population-level approaches.

Conventional textbooks describe “the classic way each illness shows up,” but many patients are “atypical”

Symptoms and signs from the individual patient point to the correct problem to test/treat for that specific patient.

How UCR Works

The AI-driven UCR platform empowers you with better clinical reasoning skills through interactive modules that provide you with constructive feedback tailored to the decisions you make and thought patterns you have.

Our virtual patients are whom you will interact with as you take their history, examine them, and put in orders--all the while allowing you to see how they improve or worsen through different time points as you progress with their care. 

The curriculum was developed and validated by the faculty at NUS Yong Loo Lin School of Medicine, powered by Med2Lab cloud-based learning platform.

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Register now to try demo modules, and contact us for more information.

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