OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 12.03.2026, 03:51

Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.

Switched on: How do we get the best out of automation and AI in health care?

2021·6 ZitationenOpen Access
Volltext beim Verlag öffnen

6

Zitationen

3

Autoren

2021

Jahr

Abstract

Key points •As the NHS emerges from the latest wave of the COVID-19 pandemic, there are hopes that technologies such as automation and artificial intelligence (AI) will be able to help it recover, as well as meet the very significant future demand challenges it was already facing (and which have since grown worse).Drawing on learning from the Health Foundation's research and programmes, along with YouGov surveys of over 4,000 UK adults and 1,000 NHS staff, this report explores the opportunities for automation and AI in health care and the challenges of deploying them in practice.We find that while these technologies hold huge potential for improving care and supporting the NHS to increase its productivity, in developing and deploying them we must be careful not to squeeze out the human dimension of health care, and must support the health and care workforce to adapt to and shape technological change.* One fact that is often cited is the ongoing growth of the health care workforce.See for example The health care workforce in England: Make or break?The Health Foundation, The King's Fund and the Nuffield Trust; 2018.* According to a 2018 report by Tech Nation, diversity and inclusion is still a challenge in tech companies, with gender and ethnic make-up not representative of UK society.If the teams that research, design or develop AI and automation technologies lack diversity this could increase the risk of bias, whether conscious or not.See Tech Nation.Chapter 5: Jobs and Skills.In Tech Nation

Ähnliche Arbeiten

Autoren

Institutionen

Themen

Artificial Intelligence in Healthcare and Education
Volltext beim Verlag öffnen