The American College of Physicians (ACP) teams up with OpenEvidence, the leading AI platform for doctors, to enhance access to vital clinical insights that aid informed medical decisions.

OpenEvidence announced on November 6, 2026 a collaboration with the American College of Rheumatology (ACR) to make ACR’s patient education fact sheets available within its medical AI platform. The English- and Spanish-language resources are intended for clinicians caring for people with rheumatic conditions. The organizations made the announcement at ACR Convergence 2026. The collaboration serves rheumatologists as well as primary care physicians and other specialists who manage rheumatic conditions, helping them share information with patients and caregivers at the point of care. ACR represents more than 10,600 rheumatology professionals worldwide. Patient Resources Appear Beside Clinical Literature The fact sheets surface automatically when clinically relevant and appear alongside peer-reviewed medical literature, with a direct link back to the source. This places patient-oriented explanations and clinical literature in the same workflow while preserving access to the original ACR resource. Clinicians can use the material to reinforce patients’ and caregivers’ conversations with their healthcare teams. The collection spans disease, condition and treatment information. It includes resources on gout and psoriatic arthritis, as well as treatments such as nonsteroidal anti-inflammatory drugs and biologic medications. ACR’s patient fact sheets use accessible language to explain causes, common signs and symptoms, diagnosis and treatment. They also identify...

OpenEvidence Learn is a free qbank, AI tutor, flashcard and CME platform for clinicians. See what’s inside, how to start, and where to stay skeptical.

OpenEvidence announced on November 6, 2026 a collaboration with the American College of Rheumatology (ACR) to make ACR’s patient education fact sheets available within its medical AI platform. The English- and Spanish-language resources are intended for clinicians caring for people with rheumatic conditions. The organizations made the announcement at ACR Convergence 2026. The collaboration serves rheumatologists as well as primary care physicians and other specialists who manage rheumatic conditions, helping them share information with patients and caregivers at the point of care. ACR represents more than 10,600 rheumatology professionals worldwide.

How Many Comments is a Lot? The Rough Distribution of Comments Published on regulations.gov https://www.chrismarcum.com/marcum-blog/2026/11/09/How-Many-Comments-Is-a-Lot.html #openevidence

Earlier this year, Patrick Woodard had to have a talk with one of the hundreds of clinicians that work at Monument Health, where he is chief information officer. The South Dakota and Wyoming-based health system had decided to block access to OpenEvidence, the popular free artificial intelligence tool, and Woodard had gotten a few objections. One of them, Woodard recounted, was from a super user. This doctor was storing more than a hundred patient records inside OpenEvidence, and feeding them to the artificial intelligence tool for help making medical decisions. That would have to end, Woodard told him. In the last year, free chatbots built to answer clinician questions — including OpenEvidence, Doximity Ask, and ChatGPT for Clinicians — have grown in popularity. Hundreds of thousands of doctors use the tools, in part, because they claim to be compliant with the federal health data privacy law HIPAA, allowing users to share a patient’s protected health information directly with the AI after signing an agreement. That assurance is meant to address one potential risk of the technology, while making it more valuable day-to-day...

A US healthcare organisation has blocked access to an AI-powered clinical decision support tool after discovering that a physician had entered information from more than 100 patient records into the p...

Earlier this year, Patrick Woodard had to have a talk with one of the hundreds of clinicians that work at Monument Health, where he is chief information officer. The South Dakota and Wyoming-based health system had decided to block access to OpenEvidence, the popular free artificial intelligence tool, and Woodard had gotten a few objections. One of them, Woodard recounted, was from a super user. This doctor was storing more than a hundred patient records inside OpenEvidence, and feeding them to the artificial intelligence tool for help making medical decisions. That would have to end, Woodard told him. In the last year, free chatbots built to answer clinician questions — including OpenEvidence, Doximity Ask, and ChatGPT for Clinicians — have grown in popularity. Hundreds of thousands of doctors use the tools, in part, because they claim to be compliant with the federal health data privacy law HIPAA, allowing users to share a patient’s protected health information directly with the AI after signing an agreement. That assurance is meant to address one potential risk of the technology, while making it more valuable day-to-day...

You’re reading the web edition of STAT’s Health Tech newsletter, our guide to how technology is transforming the life sciences. Sign up to get it delivered in your inbox every Tuesday and Thursday. Good morning health tech readers! Below, what the shifting political winds mean for some health AI policy questions on deck for next year. Plus: How hospitals are thinking about whether to embrace LLM-based tools like OpenEvidence that have conquered their clinical workforces...

You’re reading the web edition of STAT’s Health Tech newsletter, our guide to how technology is transforming the life sciences. Sign up to get it delivered in your inbox every Tuesday and Thursday. Good morning health tech readers! Below, what the shifting political winds mean for some health AI policy questions on deck for next year. Plus: How hospitals are thinking about whether to embrace LLM-based tools like OpenEvidence that have conquered their clinical workforces...

A study published in the journal Nature Medicine revealed that general artificial intelligence models like Claude and Gemini were better than dedicated medical tools.

Earlier this year, Patrick Woodard had to have a talk with one of the hundreds of clinicians that work at Monument Health, where he is chief information officer. The South Dakota and Wyoming-based health system had decided to block access to OpenEvidence, the popular free artificial intelligence tool, and Woodard had gotten a few objections. One of them, Woodard recounted, was from a super user.

You’re reading the web edition of STAT’s Health Tech newsletter, our guide to how technology is transforming the life sciences. Sign up to get it delivered in your inbox every Tuesday and Thursday. Good morning health tech readers! Below, what the shifting political winds mean for some health AI policy questions on deck for next year. Plus: How hospitals are thinking about whether to embrace LLM-based tools like OpenEvidence that have conquered their clinical workforces. Continue to STAT+ to read the full story…

A School of Pharmacy study explores what OpenEvidence can get wrong about medications, including a dangerously high drug dose and misread research.