Clinical decision support solutions provider EBSCO Health and the American Medical Association (AMA) have expanded their partnership to give all AMA-members complimentary access to DynaMed Plus®, the evidence-based, clinical information resource that is designed to provide the most useful information to healthcare professionals at the point of care.
The expanded partnership opens access to DynaMed Plus as a member benefit for AMA physicians, as well as for JAMA Network registered users. EBSCO Health is already distributing JAMA Network content through the EBSCO e-journal program.
In addition, thousands of images from The JAMA Network journals will be incorporated into DynaMed Plus, allowing physicians seeking evidence-based answers for clinical decision-making to view highly relevant images in the same location, and make the most useful content from The JAMA Network more fully accessible at the point of care. In addition, both organisations will expand continuing medical education (CME) initiatives, which are required in many states for physicians to maintain licensure.
DynaMed Plus provides clinicians with the ideal blend of evidence and expertise to help them determine the optimal care for their patients through a real-time, digital clinical reference resource. With DynaMed Plus, AMA members and other clinicians can quickly find evidence-based clinical decision support for treatment decisions at the point of care, using any device.
DynaMed Plus content is supplemented with full-color images, is optimised to the way physicians work and is designed based on ethnographic studies to provide the fastest time-to-answer in busy clinical settings. DynaMed Plus gives insight into the reliability of evidence-based outcomes data with unbiased, at-a-glance evaluations, and clear ratings of evidence and recommendations.
Current AMA Members and JAMA Network registered users can sign up for access by visiting DynaMedPlusAMAoffer.com.
Brought to you by Scope e-Knowledge Center, a world-leading provider of metadata services, abstraction, indexing, entity extraction and knowledge organisation models (Taxonomies, Thesauri and Ontologies).
