Quality, safety and artificial intelligence

被引：1

作者：

Soukup, Tayana ^{[1
,4
]}

Dean Franklin, Bryony ^{[2
,3
]}

机构：

[1] Imperial Coll London, Fac Med, Dept Surg & Canc, London, England

[2] Imperial Coll Healthcare NHS Trust, London, England

[3] UCL Sch Pharm, London, England

[4] Imperial Coll London, Ctr Patient Safety & Serv Qual, Dept Surg & Canc, London, England

来源：

BMJ QUALITY & SAFETY | 2024年 / 33卷 / 06期

关键词：

Safety culture; Quality improvement; MACHINE; MEDICINE; FUTURE; CARE;

D O I：

10.1136/bmjqs-2024-017382

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

Healthcare quality and safety span multiple topics across the spectrum of academic and clinical disciplines. Keeping abreast of the rapidly growing body of work can be challenging. In this series, we provide succinct summaries of selected relevant studies published in the last several months. Some articles will focus on a particular theme, whereas others will highlight unique publications from high- impact medical journals.

引用

页码：406 / 410

页数：5

共 50 条

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