This is the second straight year for a DBMI graduate to be recognized in the Shortliffe Doctoral Dissertation Award competition; Anna Ostropolets was a 2023 honoree.

PhD trainee Tara Anand, a member of the George Hripcsak Lab, earned second place in the Student Paper Competition. Her paper was titled “Leveraging Cluster Causal Diagrams for Determining Causal Effects in Medicine.”

Postdoc Rachel Lee, a member of the Rossetti Lab, earned the Homer Warner Award, which honors the AMIA Annual Symposium paper chosen that best describes approaches to improving computerized information acquisition, knowledge data acquisition and management, and experimental results documenting the value of these approaches. Lee’s paper was titled “Influence of the CONCERN Early Warning System on Unanticipated ICU Transfers, In-Hospital Mortality, and Length of Stay: Results from a Multi-site Pragmatic Randomized Controlled Clinical Trial.”

All DBMI posters, talks and panel sessions can be found below.

SUNDAY

S08: ICU and Critical Care – Beeped and Blurred 

Speaker: Rachel Lee
Title: Influence of the CONCERN Early Warning System on Unanticipated ICU Transfers, In-Hospital Mortality, and Length of Stay: Results from a Multi-site Pragmatic Randomized Controlled Clinical Trial

MONDAY

 S21: Machine Learning Methods – Send Reinforcements

Presenter: Tara Anand
Title: Leveraging Cluster Causal Diagrams for Determining Causal Effects in Medicine

S16: Informatics Debate 

Speakers: Sarah Rossetti, Elise Ruan
Debate: I write therefore I am: note authoring, cognition, and generative AI (the existence of clinical reasoning in documentation)

S19: Infectious Diseases – Going Viral

Presenter: Courtney Diamond
Title: Automated Stop Orders to Reduce Catheter Associated Urinary Tract Infections

S32: Health Equity Research – To Be Fair

Presenter: Adrienne Pichon
Title: A Broad Perspective on Justice-Oriented Research in Biomedical Informatics

S29: Language Models and Beyond – From Words to Wonder 

Presenter: Adit Anand
Title: Pre-Trained Large Language Models’ Utility for Food Concept Normalization

S44: Privacy and Data Lineage – Hide and Seek 

Presenter: Fangyi Chen
Title: Toward Identifying New Risk Aversions and Subsequent Limitations and Biases When Making De-identified Structured Data Sets Openly Available in a Post-LLM world

S45: Research Trends in Generative AI for Healthcare: a report from the JAMIA Special Issue on ChatGPT and Large Language Models (LLMs) 

Panelist: Chunhua Weng

S53: Utilization Data and Data Utilization – Auditory Audits, Listening to the Data

Presenter: Courtney Diamond
Title: Generative AI Demonstrated Difficulty Reasoning on Nursing Flowsheet Data

S54: Patient Generated Data – Organic Certified

Presenter: Adrienne Pichon
Title: Learning Interpretable, Temporal Health Status Phenotypes from Self-Tracked Patient Data

Poster Session 1

Presenter: Yanwei “Vivian” Lee
Poster: Pre-Trained Large Language Models for Food Concept Extraction from Patient-Generated Meal Narratives

Presenter: Jennifer Withall
Poster: The CONCERN Implementation Toolkit: Standardizing, Scaling, and Spreading an AI-Based Clinical Decision Support System

Presenter: Hsin Yi “Cindy” Chen
Poster: Learning a latent confounding representation in high-dimensional observational studies with EHRs via a variational autoencoder

Presenter: Aparajita Kashyap
Poster: Leveraging Machine Learning Explanations to Assess the Appropriateness of Using Demographic Information During Schizophrenia Onset Prediction

Presenter: Pooja Desai
Poster: Toward Human-Centered Meal Suggestions: A Case for Meal Similarity

TUESDAY

S59: Climate change and global health informatics: What are the opportunities and challenges?

Panelist: Elizabeth Campbell

S57: Navigating Biomedical Informatics Education in the Age of AI

Moderator: Ted Shortliffe
Panelist: Vimla Patel

S67: Making Justice and Equity Tangible in Informatics 

Panelist: Aparajita Kashyap

IPS07: Agency for Health Research and Quality (AHRQ) – 20 Years of AHRQ Digital Healthcare Research Funding: Looking Back and Looking Forward

Panelists: Suzanne Bakken, James Cimino

S85: Generative AI and Beyond – Creative Coders

Presenter: Elise Ruan
Title: Clinician Perceptions of Generative Artificial Intelligence Tools and Clinical Workflows: Potential Uses, Motivations for Adoption, and Sentiments on Impact

S83: Rare Disease Analysis – You Are One of a Kind 

Presenter: Rebecca Shyu
Title: Rare Disease Similarity Analysis Using a Knowledge Graph

S89: Operationalizing solutions to emerging challenges in global and local public health informatics research

Moderator: Elizabeth Campbell
Title: Operationalizing solutions to emerging challenges in global and local public health informatics research

Poster Session 2

Presenter: Elizabeth Campbell
Poster: Impact of Clinical Trial Virtualization on Recruitment in Underserved Communities for a Type 2 Diabetes mHealth Intervention

WEDNESDAY

S105: Diseases of Heart and Mind – Heartbeats and Dreamscapes

Speaker: Young Sang Choi
Title: Multimodal Machine Learning for Structural Heart Disease Detection

S114: Ontologies and Data Models – This IS-A Topic

Speaker: Kayla Schiffer-Kane
Title: Converting OMOP CDM to Phenopackets: A Model Alignment and Patient Data Representation Evaluation