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Clinical Skills & AI: Preserving Expertise in Healthcare

October 17, 2025 Dr. Jennifer Chen Health

The Erosion of Expertise: Maintaining Clinical Skills in the Age of AI

Artificial intelligence is rapidly transforming‍ healthcare, promising increased efficiency and improved ​patient outcomes. ⁣However, ⁢this technological revolution brings a critical, often overlooked risk: ​the potential erosion of core clinical skills. As clinicians⁤ increasingly ​rely on algorithms for diagnosis and treatment recommendations, concerns ⁣are mounting ‌about deskilling – the loss of⁤ proficiency through disuse – mis-skilling – the adoption ⁤of⁤ AI-driven errors or biases -⁣ and never-skilling – the failure ‌to develop competence in the first place. this isn’t⁢ a hypothetical future; evidence suggests these effects are already manifesting, especially‌ in fields like radiology and cardiology.

At a glance

  • What: The potential⁣ loss of core clinical skills due to increasing reliance on artificial intelligence.
  • Where: Across all⁢ medical specialties, with early evidence in radiology and ⁤cardiology.
  • When: ​Increasingly apparent as ⁤AI adoption accelerates (2023-present).
  • Why it Matters: Compromised clinical judgment can lead to misdiagnosis, inappropriate treatment, and ultimately, harm to patients.
  • What’s Next: Proactive ⁣strategies are needed to ‌maintain and refine clinical‌ skills alongside AI integration.

‍ ​ ⁣

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