AI in primary care - a general practitioner's bucket list

人工智能在基层医疗中的应用——全科医生的愿望清单

阅读:1

Abstract

While the development and use of Artificial Intelligence (AI) in health care have literally exploded in recent years, general practitioners (GPs) continue to struggle with a fragmented health care system and complex patients with multiple conditions and increasing care needs. An ageing population, task shifting from secondary care to ambulatory services without adequate resource allocation, and policy makers pushing for more accessible primary care are examples of factors driving the demand for AI-tools designed to triage patient complaints, improve workflows, ease clinicians' burden and support clinical decision-making. The paradigm shift towards digital solutions may offer answers, yet evidence often trails behind their implementation. The paper will address current challenges in European primary care today, highlight areas where AI can improve administrative tasks and patient outcomes, and discuss the potential benefits and drawbacks of adopting AI. Will AI tools enhance decision-making or simply create new care demands? Will their implementation truly add value to the holistic patient care model in general practice?

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。