AI-generated from publicly available materials.A recent study published in JAMA highlights a significant increase in the use of artificial intelligence (AI) for treatment planning among clinicians, indicating a shift in how medical knowledge is accessed and utilized in practice.
The research, conducted by a collaboration of institutions including Harvard Medical School and Brigham and Women’s Hospital, analyzed over 270 million queries submitted by nearly one million clinicians over two and a half years. The findings reveal that nurse practitioners and physician assistants are leading in AI usage, particularly for treatment and management inquiries, which accounted for 33.1% of queries. Interestingly, the study also found that physicians in oncology, internal medicine, and family medicine were more likely to engage with AI tools compared to those in specialties such as ophthalmology and orthopedics.
OpenEvidence, the AI tool used in the study, synthesizes responses to clinical queries and integrates seamlessly into electronic health records, making it accessible to healthcare professionals. The study noted a remarkable growth in active users, from just 355 in January 2024 to over 703,000 by June 2026, suggesting that once clinicians begin using AI, they tend to become regular users. Retention rates also increased significantly, indicating a strong reliance on these tools for clinical decision-making.
The implications of this shift are profound. As AI becomes more integrated into clinical workflows, it raises questions about the accuracy and reliability of these tools in real-world applications. Researchers emphasize the need for frameworks that evaluate AI's performance on treatment and medication queries, as these are the areas where clinicians most frequently seek assistance. The ongoing evolution of AI in healthcare necessitates careful oversight to ensure that these technologies genuinely enhance patient care.