AMIA 2022 Annual Symposium
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Washington, DC
#AMIA2022
Panel
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S01: How to Achieve Privacy in Large Diverse Health Systems
Keywords:
Privacy and Security
Precision Medicine
Panel
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S02: How to Thrive in AMIA and Beyond: What You Need to Know about Cross-Functional Leadership, Gender Representation, and Career Paths in Biomedical and Health Informatics
Keywords:
Delivering Health Information and Knowledge to the Public
Curriculum Development
Diversity, Equity, and Inclusion
Panel
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S03: Building the Base for the Integration of Genomics to Advance Precision Medicine and Population Health: Lessons Learned from Diverse Partnerships to Support Population Wide Genomic Screening
Keywords:
Clinical Decision Support
Informatics Implementation
Cancer Genetics
Panel
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S04: Need FAIR Evidence? Use CEDAR to Discover and Retrieve Research Findings
Keywords:
Clinical Decision Support
Data/system integration, standardization and interoperability
Knowledge Representation and Information Modeling
Panel
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S53: Informatics Research and Implementation During COVID: Challenges, Opportunities and Recommendations for Building a Sustainable Infrastructure
Keywords:
COVID19
Informatics Science
Panel
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S54: Perspectives on Adoption of a Unique Identifier for Nurses
Keywords:
Informatics Implementation
Standards
Nursing
Panel
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S55: Clinical Reporting: Where Could HL7® FHIR® Lead?
Keywords:
Data/system integration, standardization and interoperability
Healthcare Quality
Panel
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S56: The Informatics of RECOVER: Understanding the Post Acute Sequelae of COVID
Keywords:
COVID19
Real-World Evidence Generation
Population Health
Panel
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S62: Bioethics perspectives on the development of urgently needed informatics solutions to address rising maternal morbidity and mortality
Keywords:
Data Sharing
Ethical, Legal, and Social Issues
Panel
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S63: 21st Century Cures Act Information Sharing with Patients in Behavioral Health Settings
Keywords:
Interoperability and Health Information Exchange
Healthcare Quality
Panel
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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