The NHS's efforts to maximise productivity have been characterised by cost-cutting, rather than a coherent long-term strategy, a leading health economist has said.

As quality improvement and patient safety (QIPS) practitioners, we aspire to improve care for all patients, caregivers and families using improvement methods. While teams are trained to carefully impl...

Generative artificial intelligence (AI) is advancing rapidly and has the potential to greatly improve many aspects of society, including health. The risks of potentially harmful consequences, however, necessitate effective oversight and mitigation measures. This article highlights distinct forms of health related risks of generative AI, with corresponding options for mitigating risk. Although artificial intelligence (AI) holds considerable promise for positive effects on society, it also has the potential for harmful consequences, which may occur either unintentionally or because of misuse. Applications, such as ChatGPT, Gemini, Midjourney, and Sora, showcase generative AI’s capability to create high quality text, audio, video, and image content. The rapid advancement of AI technologies requires an equally rapid escalation of efforts to identify and mitigate risks. New disciplines, such as AI Safety and Ethical AI, broadly aim to ensure that current and future AI operates in a manner that is safe and ethical. This article focuses on generative AI—a technology with substantial potential to transform how communities seek, access, and communicate information, including about health. Table 1 outlines a glossary of key terms used in the article. Given that more than 70% of people turn to the internet as their first source of health information,1 it is crucial to identify common types of risks associated with AI technologies and to introduce effective vigilance structures for mitigating these risks. Notably, as generative AI becomes increasingly sophisticated, it will become more challenging for the public to discern when outputs (text, audio, video) are incorrect. In this article, we aim to differentiate common types of potential risks and highlight emerging ideas for mitigating each type of risk. For simplicity, we often use large language models (LLMs) to illustrate emerging …