In an era where artificial intelligence is permeating every aspect of our lives, a crucial question emerges in the healthcare sector: does AI really represent an added value for healthcare professionals or is it simply the latest technological fad ? A recent study published in Nature , conducted between November 2023 and April 2024, provides some enlightening answers to this question.
The study: methodology and participants
Research has focused on the impact of large language models (LLMs), particularly GPT-4, on physicians' managerial reasoning. This is critical in clinical practice, as it requires a delicate balance between therapeutic decisions, diagnostic strategies, and risk management.
The study involved 92 active duty doctors, divided into two groups:
The first group had access to GPT-4 in addition to traditional medical resources
The second group used exclusively conventional tools
Participants faced five complex clinical scenarios, developed by experts and based on real anonymized cases. An innovative aspect of the study was the sequential presentation of information, designed to faithfully simulate the real clinical environment.
Key Findings: The Numbers Speak Clearly
The study's findings were statistically significant:
The irreplaceable role of the doctor A particularly interesting finding concerns the comparison between AI-assisted doctors and AI used autonomously. The difference in performance was minimal (-0.9%, with a 95% confidence interval between -9.0 and 7.2, P = 0.8), suggesting that AI works better as a support tool rather than as a substitute for the doctor.
The Time Factor Using AI took an average of 119.3 seconds longer per case (95% confidence interval 17.4–221.2 seconds, P = 0.02). This suggests that while AI can lead to more accurate decisions, it requires an additional time investment.
Measurable Improvement in Performance Physicians who used the LLM scored significantly higher than the control group, with a mean difference of 6.5% (95% confidence interval 2.7 to 10.2, P < 0.001). This increase represents a statistically significant improvement in managerial reasoning skills.
Implications for the future of medicine
These quantitative results open interesting perspectives for the future of medical practice. AI emerges as a powerful support tool, capable of significantly improving physicians' performance in managerial reasoning, but requires a careful balance between improving decision quality and time efficiency.
From Research to Practice: EMSy and the Integration of AI in Prehospital Emergency
The Nature study is particularly relevant in the pre-hospital emergency setting, where EMSy is already translating these results into daily practice. While research has shown that AI can significantly improve clinical decisions (+6.5%), platforms like EMSy optimize this potential by offering healthcare professionals immediate support based on scientific guidelines.
The approach aligns perfectly with the study’s conclusions: not to replace clinical judgment , but to enhance it with always-accessible evidence-based information. As research continues to validate the effectiveness of AI in the clinical environment, EMSy is already paving the way for a future where technology and professional expertise merge to ensure safer and more effective decisions in pre-hospital emergencies.
Bibliography
GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial
Ethan Goh, Robert J. Gallo, Eric Strong, Yingjie Weng, Hannah Kerman, Jason A. Freed, Joséphine A. Cool, Zahir Kanjee, Kathleen P. Lane, Andrew S. Parsons, Neera Ahuja, Eric Horvitz, Daniel Yang, Arnold Milstein, Andrew PJ Olson, Jason Hom, Jonathan H. Chen & Adam Rodman
Nature Medicine (2025)
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