Calendar Archive

This session will introduce you to the various opportunities for involvement in public policy through AMIA/NIWG. Our goal is to help those interested in policy understand the landscape of opportunities available and emphasize the crucial role your voices play in shaping public policy.

In San Francisco at the 2024 Annual Symposium.

The Board of Directors is the primary governance body of the Association. Its members focus on high-level strategy, oversight, and accountability for the organization and its operations.

The AMIA Annual Symposium is the world’s premier meeting for the research and practice of biomedical and health informatics.

Human language is complex and often equivocal. Unsurprisingly, even the most sophisticated natural language processing (NLP) algorithms inevitably make mistakes. The impact of these mistakes on the results of clinical research that uses NLP-generated data as one of the inputs is uncertain.

The Women in AMIA Career Advancement Subcommittee would like to invite you to an upcoming webinar, “Empower Your Worth: Mastering Salary Negotiation for Women.” Please join three senior female informatics leaders as they discuss best practices and techniques for salary negotiation, for internal promotions and for securing new opportunities. This session will discuss salary negotiations for both academic and industry roles.

This webinar provides an opportunity to hear from the editors at Nature portfolio journal (npj) Digital Medicine and Health Systems to understand their journals’ scopes specifically with respect to NLP research. Audience will have an opportunity to ask questions.

The Board of Directors is the primary governance body of the Association. Its members focus on high-level strategy, oversight, and accountability for the organization and its operations.

Can GPT-3.5 generate and code discharge summaries?

Beyond electronic health record data: leveraging natural language processing and machine learning to uncover cognitive insights from patient-nurse verbal communications.

Translational research in Artificial Intelligence (AI) for healthcare has long been constrained by the lack of robust, diverse, and accessible data resources. The newly launched CRITICAL dataset addresses this challenge by providing an unprecedented resource to accelerate innovation in critical care and beyond. Funded by National Center for Advancing Translational Sciences (NCATS), and developed through a collaborative effort involving Clinical and Translational Science Award (CTSA) sites at Northwestern University, Tufts University, Washington University in St. Louis, and the University of Alabama at Birmingham, alongside the Massachusetts Institute of Technology, this dataset represents a major advancement in the field.