AMIA 2021 Annual Symposium
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Hilton San Diego Bayfront
#AMIA2021
Panel
Virtual Day
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VD01: Panel - Informatics-izing the National Institutes of Health
Keywords:
Artificial Intelligence
Delivering Health Information and Knowledge to the Public
Data Science
Panel
Virtual Day
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VD04: Panel - Making Health AI Work in the Real World: Strategies, innovations, and best practices for using AI to improve care delivery
Keywords:
Artificial Intelligence
Machine Learning
Clinical Decision Support
Panel
Virtual Day
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VD10: Panel - Representation Requires Intentionality: Our Journey to Creating a Diverse Informatics Workforce
Keywords:
Diversity
Education and Training
Live Stream Track Session
Panel
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S02: Panel - The Women in AMIA-led Podcast and Focus on Diversity: Past, Present, and Future
Keywords:
Education and Training
Social Media and Connected Health
Bioinformatics
Panel
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S04: Panel - Public Health Informatics in a Global Pandemic: In the COVID response trenches
Keywords:
COVID19
Health Equity
Panel
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S06: Panel - Advancing the Use of FHIR in Research: An Update on NIH’s Efforts
Keywords:
Interoperability and Health Information Exchange
Standards
Panel
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S08: Panel - Multi-Modal Data Science for Healthcare: State of the Art, Challenges, and Opportunities
Keywords:
Machine Learning
Clinical Decision Support
Data Analytics
Panel
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S10: Panel - When to Trust Health AI for Patient Safety: From Theory to Practice for Adaptive Clinical Decision Support
Keywords:
Artificial Intelligence
Clinical Decision Support
Machine Learning
Panel
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S13: Panel - Reliable insights regarding medication outcomes from real world data - key principles of an evidence generation framework
Keywords:
Causal Inference
Data Science
Panel
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S16: Panel - LEAP 2020: Cutting Edge Health Information Technology Tools for Research
Keywords:
Interoperability and Health Information Exchange
Informatics Implementation
Standards
Panel
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S18: Panel - Career Development Issues for Women in Biomedical Informatics within Professional Organizations
Keywords:
Diversity
Education and Training