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When Doctors Are Too Tired to Think Slow: Building CLARA with Gemini 3 Pro
How-ToMachine Learning

When Doctors Are Too Tired to Think Slow: Building CLARA with Gemini 3 Pro

via Dev.toInna Campo1mo ago

This is a submission for the Built with Google Gemini: Writing Challenge What I Built with Google Gemini Diagnostic error affects 12 million Americans annually . Behind that number are real encounters - patients who leave uncertain, physicians who move to the next room carrying doubt. In women's health, this crisis is particularly acute: women are diagnosed on average 4 years later than men. A major factor driving this gap is Diagnostic Shadowing , a cognitive bias where a patient's physical symptoms are inadvertently misattributed to their psychiatric or chronic history. It’s important to understand that this is rarely negligence. It is a breakdown of Dual Process Theory under pressure. High cognitive load forces burnt-out physicians to rely on System 1 (fast, heuristic thinking) just to keep up, bypassing System 2 (slow, analytical thinking). Necessary mental shortcuts can occasionally become unintended clinical blind spots. To help solve this, I built CLARA (Clinical Logic Assessmen

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