人工智能效率悖论：在优化时代恢复高质量的患者护理。

IF 3.5 3区医学 Q1 HEALTH CARE SCIENCES & SERVICES

Journal of Medical Systems Pub Date : 2025-04-17 DOI:10.1007/s10916-025-02183-2

Julian Michael Burwell

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引用次数: 0

摘要

我们研究了人工智能（AI）在医疗保健中的集成如何产生“效率悖论”，即旨在减少工作量的技术反而会产生新的低效率。我们认为，人工智能实施策略优先考虑效率指标，而不是有意义的患者互动，这可能会破坏护理质量。提出了一个框架来评估人工智能的采用，以平衡技术优化与医患关系的持久性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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来源期刊

Journal of Medical Systems 医学-卫生保健

CiteScore

11.60

自引率

1.90%

发文量

审稿时长

4.8 months

期刊介绍： Journal of Medical Systems provides a forum for the presentation and discussion of the increasingly extensive applications of new systems techniques and methods in hospital clinic and physician''s office administration; pathology radiology and pharmaceutical delivery systems; medical records storage and retrieval; and ancillary patient-support systems. The journal publishes informative articles essays and studies across the entire scale of medical systems from large hospital programs to novel small-scale medical services. Education is an integral part of this amalgamation of sciences and selected articles are published in this area. Since existing medical systems are constantly being modified to fit particular circumstances and to solve specific problems the journal includes a special section devoted to status reports on current installations.