Search
Join AMIA
Quick Links
Search

Education Catalog

Featured icon FEATURED
On Demand icon On Demand

AMIA Now Online Education

Type
AMIA On Demand
Credits
100.00
CME
100.00
CNE
Access microlearning modules from AMIA’s industry-leading educational conferences through an on-demand, personalized streaming experience designed to keep you up to date with the latest in health informatics learning.
NEW
Live Virtual icon Live Virtual

AI-Ready Data for Learning Health Systems: From Interoperability to Data Utility - An Enterprise Strategy for Trusted AI and Data Utility

Type
Webinar
Artificial intelligence is now a strategic priority and a clinical trust challenge. For healthcare organizations, success depends not only on which AI models they deploy, but on whether the enterprise data foundation behind those models is trusted, governed, contextualized, workflow-integrated, and fit for purpose. This webinar will explore how health [...]
NEW
Live Virtual icon Live Virtual

Toward Virtual Patient: AI for Accelerating Medical Discovery

Type
Webinar
Today, medical discovery advances one clinical trial at a time, each taking years to execute and often costing $100 million or more. As we enter the era of precision health in which we recognize that “one size doesn't fit all” and thus try to tailor treatments for each individual, continuing [...]
On Demand icon On Demand

Building a Digital Health Workforce: Embedding AI Competencies into Graduate, Professional, and In-Career Learning

Type
Webinar
The sustainable and responsible integration of artificial intelligence (AI)into healthcare requires not only advanced technology but also a workforce equipped to develop, deploy, and oversee these tools. While considerable attention ha been devoted to pilot projects and implementation pathways for AI systems, a significant gap remains in preparing clinicians, researchers [...]
Default image for courses.
On Demand icon On Demand

JAMIA Journal Club Webinar - December 2025

Type
Webinar
Dynamic Few-Shot Prompting for Clinical Note Section Classification Using Lightweight, Open-Source Large Language Models Read the abstract Moderator Presenter Statement of Purpose Critical information about patient care is locked behind context-sensitive, domain-specific language of clinical note text. Detecting the structure of this clinical text has been demonstrated to enhance extraction [...]

Filters

Education Type
Format
Cost