Search AMIA.org

NOTE: The Journal articles within search link directly to the journal site public pages only. For full Members-only access to JAMIA or the Journal of Applied Clinical Informatics articles please login with the links below.

Showing 261 - 270 out of 8309

Scaling Open-Source Technologies in Health Care

Policy

For generations, U.S. health care has almost exclusively been built using proprietary standards and technologies. We are moving to an era that embraces not only proprietary approaches but also allows for the implementation of open standards and technologies. HL7 FHIR APIs are the first step. Come learn more about what [...]

AI Readiness in Nursing Education: Teaching, Measuring, and Advancing Competency

Webinar

Nursing education is already using AI, but are we teaching it intentionally, ethically, and effectively? Join informatics leaders and interdisciplinary experts as we explore AI competencies, real teaching examples, and what AACN should consider next. Watch the Webinar Presenters

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

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 [...]

From Models to Mission: Deploying National-Scale Clinical AI through VA–DOE Collaboration

Webinar

Deploying NLP and machine learning in real-world health systems requires far more than model development—it demands scalable infrastructure, rigorous evaluation, and integration within complex operational environments.

Graph-based Prediction of Spatio-Temporal Vaccine Hesitancy from Insurance Claims Data

Webinar

The VaxHesSTL framework combines Graph and Recurrent Neural Networks to predict vaccine hesitancy at the ZIP code level by capturing both spatial relationships and historical trends, outperforming existing models when trained on a six-year, five-million-person insurance claims dataset from Virginia. To address the high cost of such data, the research also explores an active learning approach to optimize which ZIP codes are selected for training.

CMS Health Tech Ecosystem Webinar

Policy

The Centers for Medicare & Medicaid Services (CMS) has introduced a bold new framework built on collaboration, not just compliance. The CMS Health Technology Ecosystem calls on the entire healthcare industry, data networks, EHR systems, health app developers, providers, and innovators, to voluntarily align around a shared vision for data [...]

Filters