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<p>We examine how artificial intelligence (AI) integration in healthcare may create an “efficiency paradox” where technologies designed to reduce workload can instead generate new layers of inefficiency. We argue that AI implementation strategies prioritizing efficiency metrics over meaningful patient interactions risk undermining care quality. A framework is proposed for evaluating AI adoption that balances technological optimization with perseveration of the physician-patient relationship.</p>

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The AI Efficiency Paradox: Reclaiming Quality Patient Care in an Era of Optimization

  • 期刊论文

  • 发表日期：

    2025年4月17日

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  • Julian Michael Burwell

摘要

We examine how artificial intelligence (AI) integration in healthcare may create an “efficiency paradox” where technologies designed to reduce workload can instead generate new layers of inefficiency. We argue that AI implementation strategies prioritizing efficiency metrics over meaningful patient interactions risk undermining care quality. A framework is proposed for evaluating AI adoption that balances technological optimization with perseveration of the physician-patient relationship.