3.8 Review

Artificial intelligence projects in healthcare: 10 practical tips for success in a clinical environment

期刊

BMJ HEALTH & CARE INFORMATICS
卷 28, 期 1, 页码 -

出版社

BMJ PUBLISHING GROUP
DOI: 10.1136/bmjhci-2021-100323

关键词

health care sector; medical informatics; information science

向作者/读者索取更多资源

The article discusses the challenges of digital transformation and artificial intelligence in healthcare, highlighting the difficulties of implementing AI projects in clinical settings. It reflects on the experiences of UK healthcare professionals and academics in building AI solutions and provides ten practical tips for success.
There is much discussion concerning 'digital transformation' in healthcare and the potential of artificial intelligence (AI) in healthcare systems. Yet it remains rare to find AI solutions deployed in routine healthcare settings. This is in part due to the numerous challenges inherent in delivering an AI project in a clinical environment. In this article, several UK healthcare professionals and academics reflect on the challenges they have faced in building AI solutions using routinely collected healthcare data. These personal reflections are summarised as 10 practical tips. In our experience, these are essential considerations for an AI healthcare project to succeed. They are organised into four phases: conceptualisation, data management, AI application and clinical deployment. There is a focus on conceptualisation, reflecting our view that initial set-up is vital to success. We hope that our personal experiences will provide useful insights to others looking to improve patient care through optimal data use.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据