MediumCoded Inequity: How Healthcare Algorithms Leave Lives Behind | by Grant McGaugh | Medium
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Coded Inequity: How Healthcare Algorithms Leave Lives Behind

4 min readMar 3, 2025

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By Grant McGaugh, Award-Winning podcaster | Featured in Global Gurus, Thinkers360, New World Report, & Becker’s Healthcare

The Silent Crisis in Healthcare: When Algorithms Fail the Marginalized

Imagine walking into a doctor’s office, trusting that the prescribed medication or medical treatment has been designed with you in mind — only to discover that the data used to develop it didn’t include people like you at all. This isn’t science fiction. It’s the harsh reality of modern medicine.

On a recent episode of the Follow the Brand Podcast, host Grant McGaugh sat down with Dr. Tania M. Martin-Mercado (Dr. Tania), CEO of Phronetik, and Damon House, Chief Growth Officer at Phronetik, to expose a silent crisis brewing in healthcare: the implicit bias coded into medical algorithms, clinical trials, and electronic health records. Their message was clear — healthcare’s reliance on AI and data-driven decision-making is leaving entire communities behind.

This isn’t just a medical oversight; it’s a systemic failure with life-or-death consequences.

The Bias in the Machine: When AI Becomes a Silent Gatekeeper

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