AMIA 2022 Annual Symposium
-
Washington, DC
#AMIA2022
Workshop
-
W05: How to Include UN Sustainable Development Goals in Socio-technical Models for Health Information Technology?
Keywords:
Evaluation
Ethical, Legal, and Social Issues
Fairness and Elimination of Bias
Workshop
-
W09: A Workshop to Build a Research Agenda for Justice Informatics
Keywords:
Diversity, Equity, and Inclusion
Fairness and Elimination of Bias
Ethical, Legal, and Social Issues
Oral Presentations
-
S07: Feeling the Pressure: Note Bloat and Documentation Burden
Keywords:
Data Mining
Ethical, Legal, and Social Issues
Evaluation
Implementation Science
Workflow
Documentation burden
Oral Presentations
-
S39: Innovations in Informatics
Keywords:
COVID19
Data driven research and discovery
Data/system integration, standardization and interoperability
Evaluation
Global Health
Interoperability and Health Information Exchange
Fairness and Elimination of Bias
Internal Medicine or Medical Subspecialty
Knowledge Representation and Information Modeling
Natural Language Processing
Real-World Evidence Generation
Panel
-
S64: The Impact of Algorithms on Racial and Ethnic Disparities in Health and Healthcare
Keywords:
Data Science
Fairness and Elimination of Bias
Diversity, Equity, and Inclusion
Oral Presentations
-
S68: Yes Kidding: Applications of Informatics in Pediatrics
Keywords:
COVID19
Clinical Decision Support
Clinical Guidelines
Critical Care
Evaluation
Healthcare Quality
Human computer Interaction
Implementation Science
Machine Learning
Oral Presentations
-
S100: This IS-A Session: Ontologies and Knowledge Representation
Keywords:
Controlled Terminologies, Ontologies, and Vocabularies
Data Mining
Data Science
Data standards
Data Sharing
Diversity, Equity, and Inclusion
Fairness and Elimination of Bias
Knowledge Representation and Information Modeling
Real-World Evidence Generation
Reproducibility
Oral Presentations
-
S110: You Are My Type: Topics in Phenotyping
Keywords:
Data Mining
Data Science
Data driven research and discovery
Data/system integration, standardization and interoperability
Diversity, Equity, and Inclusion
Fairness and Elimination of Bias
Machine Learning
Precision Medicine
Qualitative Methods
Real-World Evidence Generation