Technology
doctors using AI in their practice are also using it in other areas of their lives. Across the follow-up interviews doctors
report using generative AI for one or more of the following reasons: l Aiding diagnosis/seeking possible alternative diagnoses
l Administrative support l Producing patient information (leaflets) l Providing translations for patients l Producing letters for patients and/or consultants
l Writing up patient notes l Educational support l Producing clinical scenarios for teaching l Producing summaries for revision l Generating images for teaching (to avoid copyright issues)
l Academic / medicolegal support l Summarising and drawing conclusions
from multiple academic papers (in the case of one doctor this helped in developing their opinions for consultant medicolegal consultancy assignments).
l Helping to develop computer code
Primary Care Among the doctors interviewed who were working in primary care, AI tools and algorithms are described as being integrated into triage and patient management tools. These are
Clinician of the Future report captures attitudes to AI
A further survey of 2,000 clinicians reveals that many envisage AI playing a bigger role in healthcare in the future, but they remain caution about access, governance and training. Clinicians across the world believe artificial
intelligence (AI) can play an important role in addressing major healthcare challenges and easing burdens for doctors and nurses according to Elsevier’s Clinician of the Future 2025 annual insights report. With the healthcare landscape evolving rapidly and clinicians facing persistent challenges in delivering quality care, this new report shows how clinicians believe these challenges can be met in the years ahead. Physicians and nurses are optimistic about
the potential of AI to improve patient care in the next two to three years. Based on 2,206 survey responses from 109 countries, clinicians are most optimistic about the potential of clinical AI tools to save them time (70%), enhance diagnostic speed (58%) and accuracy (54%), and help improve patient outcomes (55%). Their optimism is tempered by caution around
trustworthiness and compliance with regulations, and a concern that health institutions are not keeping up with clinician demand for AI solutions.
Healthcare challenges l Worryingly, 28% of clinicians admit they don’t have enough time to deliver quality care, driven by high patient volume. 69% of clinicians report seeing more patients now than 2 years ago, and nearly half (47%) believe tiredness has impaired their ability to treat patients effectively.
AI use increases but many still use generic tools
l 48% of clinicians say they have used an AI tool for work, nearly double the 26% reported in last year’s Clinician of the Future: Attitudes toward AI survey.
l Usage of AI for work purposes was highest among respondents from China (71%) and lowest in the US (36%) and UK (34%).
l 97% of AI-using clinicians reported using a generalist tool such as ChatGPT, whereas only 76% have used a specialised AI tool developed for clinical clinical-specific AI tool.
AI enthusiasm is not matched by usage l 95% of clinicians reported seeing a benefit in leveraging generative AI for clinical activities in last year’s Clinician of the Future: Attitudes toward AI report, and this year’s survey shows confidence that AI can help save clinicians time and help to improve patient outcomes in the next 2-3 years.
l 41% think in two to three years “clinicians using AI tools will deliver higher quality care than those that don’t”.
l However, today only 16% are using AI tools to actually help make clinical decisions. This is despite an additional 48% of Clinician of the Future 2025 participants expressing a desire to use AI to help with clinical determinations.
Trusted content builds trust in AI l Clinicians cite several approaches that would increase trust in clinical-specific AI
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www.clinicalservicesjournal.com I September 2025
tools, including tools automatically citing references (68%), being trained on high- quality, peer reviewed content (65%), and utilising the latest resources (64%).
l The desire for AI tools to be trained for factual accuracy is highest in the US (75%) and the UK (81%).
Barriers to AI access l Just 32% of those surveyed feel their institution provides adequate access to AI technologies, and only 30% have received sufficient training.
l A substantial need for AI management and oversight has also surfaced with only 29% of respondents indicating their organisation provides adequate AI governance.
Jan Herzhoff, President of Elsevier Health, said, “As the healthcare industry continues to grapple with increased demands and limited resources, clinicians have identified many opportunities for AI to provide quality care faster and to help improve patient outcomes. This is a transformative time and we look forward to working alongside the healthcare community to harness the full potential of AI to deliver for patients.” View the report at https://tinyurl. com/4ufyk7dy or scan the QR code.
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