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The Science of Happiness · June 10, 2026 · 25:01

Introducing - Intention to Treat: Money and Misdiagnosis

This episode introduces "Intention to Treat: The Race Equation," a new investigative series from the New England Journal of Medicine exploring how race-specific diagnostic tools systematically harm Black patients. The series examines the intersection of algorithmic bias, clinical medicine, and health equity, investigating why medical algorithms that use race as a variable perpetuate diagnostic errors and widen healthcare disparities. Through interviews and case studies, the episode frames misdiagnosis not as individual clinical error but as a systemic problem embedded in how medicine measures, predicts, and treats disease.

This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.

Curious

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Machine learning algorithms trained on historical healthcare data learn to replicate past discrimination and disparities, encoding them into clinical decisions that affect current patients.

Highlights

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Race-Based Diagnostic Tools Perpetuate Clinical Harm
Medical diagnostic algorithms that explicitly use race as a clinical variable systematically misdiagnose and undertreat Black patients by embedding historical inequities into clinical decision-making.

Editorial

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Misdiagnosis as Systemic, Not Individual Error
Healthcare inequities result not from individual clinician mistakes but from systemic design choices embedded in diagnostic tools, algorithms, and how medicine measures disease.
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The Series: Intention to Treat—The Race Equation
A new investigative series from the New England Journal of Medicine examining how race-specific diagnostic tools harm Black patients and contribute to health inequities.

Misc

✧New NEJM series launching on race-based medicine and algorithmic bias
✧Focus on diagnostic tools that use race as a clinical variable
✧Connects algorithmic bias to concrete patient harm in clinical settings
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