Databases New to the Library – Spring 2026
Posted: April 28, 2026
Over the last six months, the library has added a few new databases and resources, including a robust public health database, a new AI Journal by a reputable publisher, as well as an additional clinical tool. Find out more about these resources below:
Epocrates+ Epocrates is a versatile clinical support tool available as a mobile app (iOS and Android), providing essential resources including drug prescribing and safety information, an interaction checker, a dosing calculator, clinical practice guidelines, and “Bugs & Drugs” susceptibility data. For more exhaustive clinical support, Epocrates+ expands on these basics through a web-browser interface, offering specialized features not found in the standard app. This premium web version includes in-depth, peer-reviewed disease monographs developed with the BMJ Publishing Group, a comprehensive database of lab tests and herbal supplements, and an Infectious Disease Treatment Selector. Additionally, Epocrates+ provides streamlined ICD-10 coding tools to assist with documentation, making it a robust desktop companion to the mobile-focused drug and safety tools.
GIDEON GIDEON (Global Infectious Diseases and Epidemiology Online Network) is an expansive evidence-based platform dedicated to infectious disease, epidemiology, and microbiology. Updated daily by a global team of scientists, it synthesizes millions of data points to support pathogen identification, diagnosis, and dynamic data analysis. Beyond its diagnostic tools—which include Bayesian analysis-based differential diagnosis and a “Why Not” feature for ruled-out diseases—the platform also supports professional development. Through a partnership with PRIME Education, users can earn free Continuing Education (CE/CME) credits (up to 0.5 credits per point-of-care activity) for various medical professions, including medicine, nursing, and physician assistants, accessible directly through the “CE Credits” link in the platform’s footer.
NEJM AI New England Journal of Medicine AI is a rigorous, monthly interdisciplinary journal from the NEJM Group that bridges the gap between fast-moving developments in machine learning and their practical application in clinical medicine. Adhering to the prestigious peer-review standards of its parent publication, the journal facilitates a unique dialogue between clinicians and technical researchers by pairing “pre-clinical” breakthroughs with clinical studies. Its comprehensive scope covers everything from medical imaging and personalized medicine to the ethical, regulatory, and medicolegal implications of healthcare technology.
If you have any questions or issues, please contact your liaison librarian or email libaz@atsu.edu.