{
  "id": 14947591,
  "title": "Study characterizes clinicians' use of the AI platform OpenEvidence",
  "url": "https://urgent.news/2026/10/16/study-characterizes-clinicians-use-of-the-ai-platform-openevidence",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-16T11:40:05.000Z",
  "source": {
    "name": "Medical Xpress",
    "slug": "medical-xpress",
    "url": "https://medicalxpress.com/news/2026-10-characterizes-clinicians-ai-platform-openevidence.html"
  },
  "original_language": "en",
  "account": "A recent study led by Dr. Vishal Patel and Dr. Anupam Jena at Mass General Brigham and Harvard Medical School has examined the usage of the AI-powered clinical platform OpenEvidence among clinicians in the United States. The research, published in the Journal of the American Medical Association, sheds light on how clinicians have adopted and utilized this tool since its inception in January 2024.\n\nAccording to the findings, nearly 952,000 clinicians submitted approximately 271 million queries through the platform during a two-year period, indicating a significant increase in usage and retention. The tool's popularity extended across various specialties, with particular favor among nurse practitioners, physician assistants, early-career physicians, residents, and fellows. The study also revealed that physicians working in oncology/hematology, internal medicine, and family medicine demonstrated higher usage rates compared to those in ophthalmology, radiology, orthopedics, and anesthesiology.\n\nMost of the queries submitted through OpenEvidence were focused on treatment and management decisions, rather than diagnostic information. This suggests that clinicians were primarily seeking guidance on patient care strategies. Additionally, many clinicians utilized the platform to gather information outside their primary areas of expertise, highlighting its potential as a versatile resource for medical professionals seeking evidence-based insights.\n\nThe study provides valuable insights into the actual usage patterns of an AI-powered clinical platform, which can inform future efforts to assess and integrate such tools into clinical practice.",
  "summary": "Artificial intelligence–enabled tools allow clinicians to ask questions like, \"How should I explain cholesterol levels to a patient?\" or \"What were the outcomes of the ATLANTIS trial?\" and receive synthesized responses in seconds. However, data on which clinicians use these tools, how often they use them and for what purposes have remained limited.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}