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Showing 31 - 40 out of 669

25x5 Spotlight on Solutions: Real-World Wins in Reducing Documentation Burden

Member Interests
Join us for a dynamic 25x5 webinar highlighting innovative, real-world approaches to reducing documentation burden in healthcare. This special session features select poster presentations recognized as 25x5 Stars in Reducing Documentation Burden at the 2025 AMIA Clinical Informatics Conference. Each presenter will share their impactful work in a rapid, engaging [...]

AHRQ Healthcare Extension Service Restoration Letter to Congress

July 7, 2025

AMIA, along with 66 healthcare organizations urge Congress to restore the cancelled AHRQ Healthcare Extension Service program, which would translate patient-centered research into real-world healthcare delivery, particularly for behavioral health in underserved rural communities. The program was cancelled due to unauthorized HHS reorganization despite strong state applications addressing mental health […]

Washington Download

The Washington Download - Vol. 10 Issue 13

July 1, 2025
Top News for Informatics AMIA Call to Action: Contact Your Representatives Regarding NIH Grantees Access to Funds Funding for the National Institutes of Health (NIH) is in danger: the administration has cut $2.7 billion appropriated by Congress in FY2025 for NIH research. President Donald Trump has proposed a 40% cut to

JAMIA Journal Club Webinar - September 2025

JAMIA Journal Club
Enhancing Systematic Literature Reviews with Generative Artificial Intelligence: Development, Applications, and Performance Evaluation Read the abstract Moderator Presenters Additional Information Disclosures Presenter The following presenters have no relevant financial relationship(s) with ineligible companies to disclose. Ying Li, PhD, Regeneron Pharmaceuticals, Inc.; Owner/Employee Individual Stocks/ Stock Options. AMIA Staff The AMIA [...]

JAMIA Journal Club Webinar - August 2025

JAMIA Journal Club
Primary Care Staff Members’ Experiences with Managing Electronic Health Record Inbox Messages Read the abstract Moderator Presenter Statement of Purpose The practice of primary care has changed dramatically in recent years to involve providing more care outside scheduled appointments in response to electronic messages from patients. Prior work has characterized [...]

Democratizing AI for Cancer with Privacy Preserving Synthetic Data Generation for Cancer Case Identification

Webinar
As part of the Department of Energy’s partnership with the National Cancer Institute, the Modeling Outcomes Using Surveillance Data and Scalable AI for Cancer (MOSSAIC) project aims to develop deep learning models to support near-real-time cancer surveillance at the population level. Through the NCI’s Surveillance, Epidemiology, and End Results (SEER) program, we deploy models for the automated coding of cancer cases across state and regional cancer registries throughout the United States.

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