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AI in the clinic

AI won't replace doctors, it will augment them

The management research is consistent: the value is in augmentation, not automation.

6 min read

The replacement narrative makes headlines. The evidence makes a quieter, more useful claim: the winning pattern is human plus machine, not machine instead of human.

Augmentation beats automation

Work from MIT Sloan Management Review and Harvard Business Review on human–AI collaboration finds the strongest results where AI augments expert judgement rather than replacing it. Accenture has estimated large-scale savings from clinical AI precisely in these assistive roles.

What augmentation looks like

The AI drafts the note, summarises the history, suggests a code, flags an interaction, and the clinician confirms. Each step removes friction without removing the person. The doctor does more of the work only they can do, and less of the work no one should have to.

The evidence

Accenture's clinical-AI analysis puts the value in augmentation rather than automation, estimating $150 billion in annual US savings by 2026 from assistive applications. Source: Accenture, “Artificial Intelligence: Healthcare’s New Nervous System”, 2017.

The goal was never a doctor-shaped algorithm. It's a doctor with an assistant that never tires and never signs.

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