Calendar Archive

Developing equitable, sustainable informatics solutions is key to scalability and long-term success for projects in the global health informatics (GHI) domain. This webinar presents key strategies for incorporating principles of health equity in the GHI project lifecycle.

Traditional machine learning classifiers using structured representations of text, such as randomly initialized concept embeddings (concept unique identifiers - CUIs), have demonstrated strong performance in clinical risk prediction tasks. In prior work, we developed a CUI-based convolutional neural network substance misuse classifier trained on clinical notes for hospital-based screening. While effective, such models require extensive feature engineering and are limited in their semantic understanding. Recent advances in large language models (LLMs) enable richer contextualization of clinical narratives through prompt engineering and parameter-efficient tuning for computable phenotyping. 

Presented by the Industry Partnership Council

Merck & Co., Inc. is a leading pharmaceutical company that is focused on advancing science to deliver medicines and vaccines that save lives. This panel will focus on different ways biomedical and health informatics experts contribute to this important mission. Specifically, panelists will discuss their career journeys in Real-World Evidence and how their work in advanced analytics, epidemiology, strategic partnerships, and innovative platforms is shaping health research.

The panel offers a unique opportunity for students and professionals to learn about informatics careers in pharmaceutical research, expand knowledge about informatics applications in industry, and connect with experts to learn about the future of Real-World Evidence.

This contribution from the University of Utah to the AMIA 10x10 program is an in-depth course about Clinical Decision Support (CDS) tools, standards, and implementation. The course is designed and taught by leaders and experts in the field. The instructors are affiliated with the Department of Biomedical Informatics at the University of Utah, which has a five-decade-long history of innovations in CDS.