Skip to Main Content

Yale BIDS Presenting at the AMIA 2024 Annual Symposium

October 21, 2024
by Sooyoun Tan

Next month, our faculty, staff and students will make a strong showing at the AMIA 2024 Annual Symposium in San Francisco, California. Our team will lead four workshops/tutorials, present three panels, three papers, twelve podium abstracts, and nine posters, and engage in a debate and demonstration. The symposium, taking place from November 9-13, centers on the theme “Informatics in the Age of Generative Artificial Intelligence,” featuring over 600 sessions, keynote speakers, and ample networking opportunities. This is a prime opportunity to explore cutting-edge advancements in health informatics and celebrate Yale BIDS' impactful contributions.

Key presentations featuring Yale BIDS faculty, staff, and students include:

Saturday, November 9, 2024

Time: 8:30 AM to 12:00 PM PST
Room: Franciscan B (Workshop/Tutorial)
W10: Using Data Science and AI to Advance Violence and Injury Prevention

Speaker: Cynthia Brandt

Time: 8:30 AM to 12:00 PM PST
Room: Franciscan D (Workshop/Tutorial)
W12: 15th Annual Workshop on Visual Analytics in Healthcare (VAHC 2024)

Speaker: Huan He

Time: 1:00 PM to 4:30 PM PST
Room: Continental Ballroom 4 (Workshop/Tutorial)
W14: Applying Inclusive Language to Informatics Research in the Era of Large Language Models

Speaker: Vipina K. Keloth

Time: 1:00 PM to 4:30 PM PST
Room: Franciscan A (Workshop/Tutorial)
W21: Development and Evaluation of Large Language Models in Healthcare Applications

Speaker: Hua Xu

Sunday, November 10, 2024

Time: 3:45 PM to 4:00 PM PST
Room: Imperial B (Podium Abstract)
Acceptance and Perceptions of Electronic Health Record-based Clinical Decision Support for Obesity in Pediatric Primary Care

Speaker: Mona Sharifi

Time: 4:00 PM to 4:15 PM PST
Room: Franciscan B (Paper - Regular)
Identifying Genomic Data Sources from Biomedical Literature

Speaker: Kalpana Raja

Monday, November 11, 2024

Time: 8:30 AM to 9:00 AM PST
Room: Imperial A (Informatics Debate)
S16: I write therefore I am: note authoring, cognition, and generative AI (the existence of clinical reasoning in documentation)

Speaker: Deborah Levy

Time: 10:30 AM - 12:00 PM PST
Room: Continental Ballroom 4 (Panel)
Cross-Biobank Studies: Opportunities and Challenges

Moderator: Jihoon Kim
Speaker: Hyunghoon Cho

Time: 11:30 AM to 11:45 AM PST
Room: Continental Ballroom 8-9 (Podium Abstract)
Evaluating the Performance of Instruction Tuned Large Language Models on Biomedical Entity Recognition

Speaker: Vipina K. Keloth

Time: 11:45 AM to 12:00 PM PST
Room: Continental Ballroom 8-9 (Podium Abstract)
CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models

Speaker: Na Hong

Time: 3:30 PM - 5:00 PM PST
Room: Continental Ballroom 4 (Panel)
S46: Byte-sized care: Artificial Intelligence and Machine Learning in Pediatrics

Speaker: Mona Sharifi

Time: 4:00 PM to 4:15 PM PST
Room: Continental Ballroom 1-2 (Paper-Regular)
Combining Rule-based NLP-lite with Rapid Iterative Chart Adjudication for Creation of a Large, Accurately Curated Cohort from EHR data

Speaker: Pradeep Mutalik

Time: 4:45 PM to 5:00 PM PST
Room: Franciscan A (Podium Abstract)
A systematic evaluation of large language models for biomedical natural language processing: benchmarks, baselines, and recommendations

Speaker: Qingyu Chen

Tuesday, November 12, 2024

Time: 9:15 AM - 9:30 AM PST
Room: Franciscan B (Podium Abstract)
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-Form Medical Question Answering in Ophthalmology

Speaker: Qingyu Chen

Time: 9:45 AM to 10:00 AM PST
Room: Franciscan B (Podium Abstract)
Me LLaMA: Foundation Large Language Models for Medical Applications

Speaker: Qianqian Xie

Time: 11:00 AM to 11:15 AM PST
Room: Franciscan C (Podium Abstract)
Interventions to mitigate EHR and documentation burden in health professions trainees: A scoping review

Speaker: Deborah Levy

Time: 1:45 PM to 3:15 PM PST
Room: Continental Ballroom 5 (Panel)
Bridging Women’s Health Gap in the Real World: Informatics-driven strategies, innovations, and best practices to improve health equity

Speaker: Xinxin (Katie) Zhu

Time: 1:45 PM to 2:15 PM PST
Room: Imperial A (Demonstration)
Decentralized, Immutable, and Transparent Metadata Ledgering System for Biomedical Datasets

Speaker: Yule (Grace) Yu from UCSD

Time: 4:00 PM to 4:15 PM PST
Room: Franciscan C (Podium Abstract)
A New Approach to Detecting Semantic Novelty of Biomedical Literature

Speaker: Xueqing Peng

Time: 4:15 PM to 4:30 PM PST
Room: Continental Ballroom 1-2 (Podium Abstract)
Promoting the sharing, discovering, and reuse of phenotypes by developing an ontology-driven phenotype library

Speaker: Na Hong

Time: 5:00 PM to 6:30 PM PST
Room: Grand Ballroom (Poster-Student)
1. Enhanced Detection of Dementia in the Emergency Department Through Advanced Machine Learning Techniques

2. Comparison of Computational Phenotyping Approaches in Identifying Patients with Dementia in the Emergency Department

3. Gap Analysis: Mapping Emergency Department Data to a Common Data Model for Opioid-Use Disorder Surveillance
Speaker: Inessa Cohen

Time: 5:00 PM to 6:30 PM PST
Room: Grand Ballroom (Poster-Student)
Topic Analysis of the Global Clinical Trials using Large Language Model

Speaker: Zhiyuan Cao

Time: 5:00 PM to 6:30 PM PST
Room: Grand Ballroom (Poster-Invite)
Cross-Organization Aggregate EHR Audit Log Data Imputation

Speaker: Huan Li

Time: 5:00 PM to 6:30 PM PST
Room: Grand Ballroom (Poster-Invite)
BioCiteGPT: Recurrent Retrieval-Augmented Large Language Models for Faithful Biomedical Citation Recommendation

Speaker: Jeffrey Zhang

Time: 5:00 PM to 6:30 PM PST
Room: Grand Ballroom (Poster-Invite)
1. EyeLLaMA: open-sourced large language models for vision research

2. Improving Biomedical Fact Checking of Large Language Models via Instruction Tuning
Speaker: Qingyu Chen

Wednesday, November 13, 2024

Time: 8:00 AM to 8:15 AM PST
Room: Yosemite A (Poster-Student)
Deep Learning-based Time-to-event Analysis of Depression and Asthma using the All of Us Research Program

Speaker: Xueting (Leona) Wang

Time: 9:45 AM to 10:00 AM PST
Room: Franciscan B (Podium- Abstract)
GLOWH-kb - A Curated, Web-based Catalog of Published Data on the Impact of Environment on Human Health

Speaker: Haseena Rajeevan

Time: 10:00 AM to 10:15 AM PST
Room: Franciscan B (Podium- Abstract)
BioNLPOrium – A Unified, AI-ready Collection of Biomedical Corpora for Advancing Natural Language Processing Research

Speaker: Vipina K. Keloth

Time: 10:15 AM to 10:30 AM PST
Room: Continental Ballroom 1-2 (Paper-Regular)
A Novel Sentence Transformer-based Natural Language Processing Approach for Schema Mapping of Electronic Health Records to the OMOP Common Data Model

Speaker: Xinyu Zhou

Time: 10:15 AM to 10:30 AM PST
Room: Franciscan B (Podium- Abstract)
DataMed 2.0: A Discovery Index for Finding Biomedical Datasets

Speaker: Kalpana Raja