Monday, March 30, 20265:30 pm - 7:00 pm
The DSI Health Analytics Poster Session will showcase innovative, data-driven projects spanning health care, public health, informatics, and more aimed at advancing how we understand and improve health outcomes. Attend to meet the researchers behind the work, explore emerging ideas, and connect with collaborators across Columbiaās healthcare and data science community.
Location: Mudd Building, Room 407 – 4th Floor (Campus Level)Address: 500 W 120th St, New York, NY 10027
REGISTRATION DEADLINE: The Columbia Morningside campus is open to the Columbia community. If you do not have an active CUID, the deadline to register is at 12:00 PM the day before the event.
Register
P01: Det2Prompt: Leveraging Detection-Based Prompts for Partially Labeled Medical Image Segmentation
P02: A pipeline for enabling path-specific causal fairness in observational health data
P03: Recognizing Obstetric Sepsis: A Content Analysis of Nursing Processes in Labor and Delivery
P04: One Loss to Rule Them All: Marked Time-to-Event for Structured EHR Foundation Models
P05: Prototype-based Physiological Transfer Enables NCCT-only Hyperacute Stroke Tissue-Window Segmentation Under Missing Perfusion
P06: Aligning Probabilistic Beliefs under Informative Missingness: LLM Steerability in Clinical Reasoning
P07: Optimizing the Efficacy of AI-Assisted Interventions: Accounting for Capacity Constraints and Noisy Compliance
P08: Signal-Based Temporal Matching of Raw Intraoperative EEG to EMR Cases for Building a Clinical Database
P09: Experiments in Extracting Data from Free-Text with ChatGPT: Can Human Coaches Reduce the Hallucination Rate?
P10: Mapping Documentation Burden: Analyzing Centrality and Clusters among Flowsheet Measures and Templates Through Network Analysis
P11: Nursing Documentation Patterns During the Inpatient Labor and Delivery Hospitalization
P12: Automated Identification of Metastatic Prostate Cancer from Clinical Notes
The DSI Health Analytics Center works to improve the health of individuals and the health care system through data-driven methods and understanding of health processes. The Center builds upon the work of teams of Columbia researchers in medicine, biology, public health, informatics, computer science, applied mathematics, and statistics.