One in Five UK Soctors use AI Chatbots

A survey led by researchers at Uppsala University in Sweden reveals that a significant proportion of UK general practitioners (GPs) are integrating generative AI tools, such as ChatGPT, into their clinical workflows. The results highlight the rapidly growing role of artificial intelligence in healthcare - a development that has the potential to revolutionise patient care but also raises significant ethical and safety concerns.

"While there is much talk about the hype of AI, our study suggests that the use of AI in healthcare is not just on the horizon - it's happening now. Doctors are deriving value from these tools. The medical community must act swiftly to address the ethical and practical challenges for patients that generative AI brings," says lead researcher Dr Charlotte Blease, Associate Professor at Uppsala University.

The study reveals that 20 per cent of GPs reported using generative AI tools in their practice, with ChatGPT being the most frequently used AI tool. Conducted with collaborators at Harvard Medical School, Boston, USA and the University of Basel, Switzerland, this is the most comprehensive examination of generative AI in clinical practice since the launch of ChatGPT in November 2022.

The study was conducted in February 2024 as part of a monthly omnibus survey and was designed to include GPs from across different regions of the UK. Researchers surveyed 1,006 GPs registered with Doctors.net.uk, the largest professional network for UK doctors.

The aim of the study was to measure the adoption of AI-powered chatbots by GPs across the UK and to understand how these tools are being used in clinical settings. With the advent of large language models (LLMs), there has been substantial interest in their potential to support medical professionals in tasks ranging from documentation to differential diagnosis.

Apart from revealing that 20 per cent of GPs used AI tools in their practice, the study also shows that among users, 29 per cent utilised these tools for generating documentation after patient appointments, while 28 per cent employed them to assist with differential diagnosis.

These findings suggest that AI chatbots are becoming valuable assets in medical practice, particularly in reducing administrative burdens and supporting clinical decision-making. However, the use of these tools is not without risks. The potential for AI to introduce errors ("hallucinations"), exacerbate biases, and compromise patient privacy is significant. As these tools continue to evolve, there is an urgent need for the healthcare industry to establish robust guidelines and training programmes to ensure their safe and effective use.

"This study underscores the growing reliance on AI tools by UK GPs, despite the lack of formal training and guidance and the potential risks involved. As the healthcare sector and regulatory authorities continue to grapple with these challenges, the need to train doctors to be 21st century physicians is more pressing than ever," Blease concludes.

Blease CR, Locher C, Gaab J, Hägglund M, Mandl KD.
Generative artificial intelligence in primary care: an online survey of UK general practitioners.
BMJ Health Care Inform. 2024 Sep 17;31(1):e101102. doi: 10.1136/bmjhci-2024-101102

Most Popular Now

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

To be Happier, Take a Vacation... from Y…

Today, nearly every American - 91% - owns a cellphone that can access the internet, according to the Pew Research Center. In 2011, only about one-third did. Another study finds...

Researchers Find Telemedicine may Help R…

Low-value care - medical tests and procedures that provide little to no benefit to patients - contributes to excess medical spending and both direct and cascading harms to patients. A...