The 2024 AMIA (American Medical Informatics Association) Annual Symposium will take place in San Francisco from November 9 through November 13. Department members with work to be presented at the symposium include:
Saturday, November 9
Workshop 17, "REDCap on FHIR: Implementing and Using Clinical Data Interoperability Services" - professor Paul Harris, co-instructor/author
Sunday, November 10
Workshop 27, "Advancing Biomedical Research Using Multi-omics Data in the All of Us Researcher Workbench," 8:30 am - co-authored by Paul Harris
Session 7, "Pediatric Health Informatics - Kid Coders," 3:30 pm
"Revealing Patterns of Child Maltreatment Policy Differences and Demographic Dynamics using BERT-Networks and Clustering Approach" - co-authored by associate professor Rameela Raman
Monday, November 11
Session 17, "LIEAF: Artificial Intelligence and Data Science in Health Informatics Education," 8:30 am
Enhancing Causes of Death Prediction from Electronic Health Records through Multi-Modal Integration of Structured and Unstructured EHR Data - co-authored by professor Michael Matheny
Session 22, "AI Fairness and Ethics - Justice League," 8:30 am
- "Fairness of AI Collaboration and Suppression in Emergency Triage" - co-authored by professor Bradley Malin
- "Enhancement of Fairness in AI for Chest X-ray Classification" - co-authored by Bradley Malin
Session 53, "Utilization Data and Data Utilization - Auditory Audits, Listening to the Data," 3:30 pm
"Optimizing Large Language Models for Discharge Prediction: Best Practices in Leveraging Electronic Health Record Audit Logs" - co-authored by Bradley Malin
Session 54, "Patient Generated Data - Organic Certified," 3:30 pm
"Examining Oral Anti-Cancer Medication Continuation Using Questionnaires, Prescription Refills, and Structured Electronic Health Records" - co-authored by professor Qingxia Chen, Bradley Malin, and Zhijun Yin
Poster session 1, 5:00 pm
P114: "Machine Learning Methods for Estimating Gestational Age at Birth from Electronic Health Records" - co-authored by professor Leena Choi
P118: "Large Language Models Enhance the Identification of Emergency Department Visits for Symptomatic Kidney Stones" - co-authored by PhD candidate Siwei Zhang and assistant professor Yaomin Xu
Tuesday, November 12
Session 98, "Wearable Sensor Data - Data on the Go," 3:30 pm
"'I worry we’ll blow right by it': Barriers to Uptake of the STRATIFY CDSS for ED Discharge in Acute Heart Failure" - co-authored by associate professor Dandan Liu
P05: "Utilizing Large Language Models (LLM) to Optimize Domain-Specific Natural Language Processing (NLP) for Identifying Patients with No Reason for Not Prescribing ACEI/ARB in Chronic Kidney Disease (CKD) Management" - co-authored by Michael Matheny
P27: "Assessing ChatGPT Responses to Alzheimer’s Disease Myths" - co-authored by Bradley Malin and alumnus Zhijun Yin (MS 2017)
P117: "Algorithmic Matching of Unique Device Information to Electronic Health Record Data" - co-authored by Michael Matheny
P178: "A Study of Challenges In Algorithmic Transportability Between VHA Sites" - co-authored by Michael Matheny
P188: "Real-Time Automated Billing for Tobacco Treatment: A CDS Hook Approach for Simulating Clinician Facing Coding Prompts Within EHRs" - co-authored by Michael Matheny
Wednesday, November 13
Session 102, "Self-Service Software Tools for Clinical and Translational Research: Rationale, Benefits, Limitations, Challenges, and the Future," 8:00 am - Paul Harris, speaker