Category: Series 2: Sociology of Informatics
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The Uncanny Valley: AI and the Evolution of Wisdom
AI doesn’t have to be perfect to be useful, but it does have to be “human-centric.” The goal is to evolve from artificial intelligence to Augmented Intelligence. Read more
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The Grand Synthesis: Breaking the Cycle
We have spent this series looking at the behavioral traps of modern medicine. But naming the problem is only the first step. The real work begins when we stop asking “What is wrong with the clinicians?” and start asking “What is wrong with the environment?” Read more
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The Exit Strategy: Learned Helplessness in the Clinic
What happens when a highly trained expert realizes they have no control over their environment? They don’t just get frustrated — they stop trying. Read more
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The Default Trap: The Illusion of Choice
In a high-velocity clinic, the “Path of Least Resistance” isn’t just a convenience — it’s a behavioral nudge that determines the standard of care. Read more
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The Algorithmic Shadow: From Deskilling to Reskilling
A checklist can save a life, but it can also blind a clinician. The goal of informatics isn’t to replace clinical intuition — it’s to clear the cognitive space for it to thrive. Read more
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Policy over Practice: The Momentum of Failure
When the plan is more invested in than the practitioner, we stop training for outcomes and start training for appearances. Read more
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The EHR Interface: The Architect of Error
If the right clinical choice takes 12 clicks and the easy administrative choice takes 1, the system is training you to be data-blind. UI/UX is never neutral. Read more
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The Corporate Shift: From Caregiver to Claim Coder
The EHR was envisioned as a clinical tool. It was co-opted as a billing engine. Clinicians haven’t lost their mission—it’s been trained out of them. Read more
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The Hierarchy of Truth: The Sociology of Silence
In medicine, truth is filtered by power. The Hidden Curriculum teaches staff to be wrong with the group rather than right alone—and your data pays the price. Read more
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Pedagogy of the Proxy: How We Teach ‘Data-First’ Medicine
We teach students to read lab values before they touch a human. No wonder some fear AI will replace them—we’re training them to do what AI does better. Read more