Springer Nature and OpenEvidence today announced a subscription agreement that brings peer-reviewed content from Springer Nature into OpenEvidence, where physicians can retrieve and cite it during patient care. This agreement takes effect August 5 and forms part of Springer Nature’s community led ARC3 framework.

Clinicians and healthcare professionals need quick and easy access to the very latest trusted insights to help inform their decisions. Today’s announcement ensures they will have access to trusted scientific and medical content published by Springer Nature at the point of care, in the AI platform they already use.

Frank Vranken Peeters, Chief Executive Officer at Springer Nature, said: 

“Springer Nature and OpenEvidence share a common goal – to achieve maximum exposure for scientific research, while ensuring authors receive clear attribution and that their work is connected back to its original source. By partnering with OpenEvidence, one of the leading services delivering clinical findings at the point of care for healthcare professionals, we can help clinicians access trusted research, therefore supporting better-informed decisions and greater real-world impact.” 

Daniel Nadler, Chief Executive Officer of OpenEvidence, said: 

“Springer Nature publishes many of the world’s most influential medical journals, books, and society publications. Bringing clinical findings from the Springer Nature portfolio into OpenEvidence widens the range of questions a physician can get a deeper sourced answer to, across every major area of medicine. And, in the process, connects the authors of practice-changing medicine and research with the clinicians who use it.”

This agreement, which forms part of Springer Nature’s community-led ARC3 framework, means researchers will be able to benefit from greater use of their work and have confidence in how it is accessed.  The ARC3 licensing framework ensures:

• Clear attribution and links back to the original research; 
• Transparency around how research content is used; and 
• Alignment with Springer Nature’s Responsible AI Principles