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
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) LEME: Open-Sourced Large Language Models for Vision Research
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
Featured in this article
- Cynthia Brandt, MD, MPH
- Huan He, PhD
- Vipina K. Keloth, PhD
- Hua Xu, PhD
- Mona Sharifi, MD, MPH
- Kalpana Raja, PhD, MRSB, CSci
- Deborah R Levy, MD, MPH, MS
- Jihoon Kim, PhD
- Hyunghoon Cho, PhD
- Na Hong, PhD
- Pradeep Mutalik, MD
- Qingyu Chen, PhD
- Qianqian Xie, PhD
- Xinxin (Katie) Zhu, MD, PhD, FACMI, FAMIA, FIAHSI
- Xueqing Peng, PhD
- Huan Li, MSHI
- Jeffrey Zhang
- Xueting (Leona) Wang
- Haseena Rajeevan, PhD