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Published on: February 16, 2011
The AI Efficiency Paradox: Reclaiming Quality Patient Care in an Era of Optimization
1Department of Medical Education, Geisinger Commonwealth School of Medicine, Scranton, PA, USA. jburwell1@som.geisinger.edu.
Abstract:
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.
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