Scholarlink

In UK, the National Health Service (NHS) in England aims for most health and social care services to have a core level of digitalisation. All NHS hospitals are managed by trusts. However, not all 202 NHS trusts have the same level of digital maturity. This paper presents an action research study driven by an NHS trust. The study aimed to gain an understanding of information sources and digital health technologies used at the point-of-care by clinicians, particularly junior doctors (a.k.a. resident doctors). The study considered two points in time: before and after the arrival of ChatGPT, which is a well-known Large Language Model (LLM) from Artificial Intelligence (AI) released on 30-November-2022. The study used mixed methods, integrating quantitative and qualitative research. From the interviews with 17 UK clinicians (completed in February 2021), a list of information sources and 114 clinical questions at the point-of-care were obtained. In 2025, the arrival of DeepSeek-R1 from China (released on 20-January-2025) increased the ethical issues of LLMs, such as perceived security risks. From April-July 2025, the list of information sources previously obtained (including online resources, e.g. websites/apps) was used to gather yes/no responses from 17 UK-based clinicians and 4 Australian-based clinicians. The replies from Australia provided some rudimentary insights into ‘common’ information sources and the global spread of digital-health and AI. Our study showcases information sources used by clinicians, and the undeniable uptake of LLMs from neural AI: ChatGPT as the most popular, followed by its alternatives (Gemini, CoPilot, Manus AI, and Lyrebird AI).

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

How AI is Changing Medicine: a Simple Matter of Time?

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Mercedes Arguello Casteleiro,
  • Chloe Henson,
  • Manoj Kulshrestha,
  • Muhammad Waleed Iqbal,
  • Nava Maroto,
  • Maria Jesus Fernandez Prieto,
  • Julio Des Diz,
  • Tim Furmston,
  • John Keane,
  • Robert Stevens,
  • Chris Wroe

摘要

In UK, the National Health Service (NHS) in England aims for most health and social care services to have a core level of digitalisation. All NHS hospitals are managed by trusts. However, not all 202 NHS trusts have the same level of digital maturity. This paper presents an action research study driven by an NHS trust. The study aimed to gain an understanding of information sources and digital health technologies used at the point-of-care by clinicians, particularly junior doctors (a.k.a. resident doctors). The study considered two points in time: before and after the arrival of ChatGPT, which is a well-known Large Language Model (LLM) from Artificial Intelligence (AI) released on 30-November-2022. The study used mixed methods, integrating quantitative and qualitative research. From the interviews with 17 UK clinicians (completed in February 2021), a list of information sources and 114 clinical questions at the point-of-care were obtained. In 2025, the arrival of DeepSeek-R1 from China (released on 20-January-2025) increased the ethical issues of LLMs, such as perceived security risks. From April-July 2025, the list of information sources previously obtained (including online resources, e.g. websites/apps) was used to gather yes/no responses from 17 UK-based clinicians and 4 Australian-based clinicians. The replies from Australia provided some rudimentary insights into ‘common’ information sources and the global spread of digital-health and AI. Our study showcases information sources used by clinicians, and the undeniable uptake of LLMs from neural AI: ChatGPT as the most popular, followed by its alternatives (Gemini, CoPilot, Manus AI, and Lyrebird AI).