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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. The webinar will cover why nurses’ involvement is vital and how you can participate.

Clinician burnout, driven in part by the increasing burden of EHR documentation, is a significant threat to healthcare quality. This talk will introduce SPEER, a novel approach to automatically generating clinically useful hospital-course summaries from raw clinical notes.

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. In this talk, Alexander Turchin will discuss a [...]

This project leverages Python programming and an open-source large language model (LLM) to calculate semantic similarity scores between pairs of text strings. These scores are systematically recorded in an Excel workbook, enabling the organization of string pairings into ranked mappings. Dr. Macintosh employed this methodology to propose mappings between AACN graduate sub-competencies and course learning outcomes.

This presentation is an introduction to Oncology Data Science at AstraZeneca and the important work being done to impact decision making to advance AstraZeneca’s oncology drug portfolio. Steven Criscione will also share a research vignette on our study of the EGFR inhibitor osimertinib drug tolerant persister cells.