InformaticCon Fall 2024

InformaticCon Fall 2024

 

INFORMATICCON PROGRAM

VCLIC hosted its third annual InformaticCon event on September 4th, 2024 from 11:00am - 2:30pm. The event took place in the North Lobby of Light Hall. We had a fantastic turnout and the feedback has been pretty great so far! Attendees of the event enjoyed a panel session, several insightful lightning talks, and during the last hour of the event, a magnificent poster session featuring over 30 posters! For the first time in InformaticCon history, we had judges roaming the poster session and awarded a total of 6 Distinguished Poster Awards (see below). We hope you were able to make it, but for those who were unable to attend, please see below for an archive of all the talks and posters we are able to share! We are already looking forward to next year! 

 

 

Panel Talk: "Oh, the Things That You'll Build: Amazing VUMC Physician Builder Projects": 

Panelists: Jon Wanderer, Kristen Whelchel, Sara Horst, Wael Alrifai 

Lightning Talks: 

Barbara-Jo Achuff - Using Visual Analytics Decision Support to Optimize Quality Sedation Practice in the Cardiac Intensive Care Unit 

Siru Liu - Using Large Language Model to Guide Patients to Create Efficient and Comprehensive Clinical Care Message 

Liam Schnelle & Yaa Kumah- Crystal - Game on: ChatGPT vs. Residents and Faculty in a Diagnostic Duel 

Alex Becker - Quantifying Immediately Released Test Results that Contribute to the Highest Volume of Patient Messages 

Janos Mathe - Intelligent Scheduling Flows: From Requirements to Implementation Using Graph Models and AI 

Edward Qian - EHR Embedded Clinical Trials: Past, Present, and Future

Eric Brown - A Vision for Standardizing Sight 

Posters: 

Angel Anthamatten & Jo Ellen Holt - Transforming Virtual Simulation with Integration of Artificial Intelligence 

Daniel Fabbri - LLM-Guided Chart Abstraction 

Anna Qian - Evaluating the Effectiveness of Large Language Models in Extracting Cause of Death from Electronic Health Records 

Nola O'Sullivan & Yaa Kumah-Crystal - Giggles and Groans: Evaluating ChatGPT's Contribution to Medical Humor 

Bryan Steitz - Improve Detection of Clinical Deterioration by Automatically Capturing Changes to Oxygen Therapy 

Thomas Reese - Developing and Validating Risk Prediction for Neonatal Opioid Withdrawal Syndrome 

Hyunjoon Lee - Assessing the Need for a Clinical Decision Support Tool to Improve Random Urine Drug Screening for Patients on Chronic Opioid Therapy 

Matthew Christensen - Adopting an Established Pneumonia Clinical Decision Support System for an Interoperable Platform 

Donnie Sengstack - Leveraging EHR Data to Improve Care Timeliness for Patients with Cardiovascular Implantable Electronic Devices 

Grace Van Winkle - Informatics Enabling pRCTs 

Brian Douthit - A Framework for Assessing Documentation Utility 

Michael White & Tonja Sessoms - Standardizing PACU Nursing Documentation 

Parker Evans - Data Driven Order Set Design in Pediatric Appendicitis 

Nanda Nayak - Evaluation of Accessibility in Ophthalmology Websites for Individuals with Visual Impairments 

Alvina Liang - Association of Health Literacy with Ophthalmic Disease 

Chrysanne Bennett - Transfusion Reactions after Pathogen-Reduced Platelet Transfusions in Children in the United States 

Brandon Buxton - Vision Impairment Prediction for Patients Diagnosed with Multiple Sclerosis: Cosmos Based Model Training 

Hannah Slater - Vocal Cues: Leveraging Voice Biomarkers for Screening and Early Detection of Anxiety Disorders 

Sara Horst - HealthIT Care Compassion Colonoscopy Prep Education Implementation Improves Adequate Colonoscopy Prep Rates 

Jodie Wilkinson - Fire Safety in Ambulatory Procedure Areas 

Danielle Fishman - Building an EMR-Based Tool to Track and Support Patients Receiving a Complex, Multidisciplinary Radioligand Antineoplastic Therapy 

Kathleen Rynczak - Vanderbilt University Medical Center: Adult Ambulatory Operations Falls Tracking 

Lisa Rhinehart - Mealtime Medication Alert Fatigue

Ann Mathew - Closing the Loop: Assessing the Efficacy of Medication Discontinuation Practices in Electronic Health Records

Isabel Arvelo - Novel Machine Learning on Asynchronous Clinical Pages to Predict Clinical Deterioration

Jennifer Morse - Using the REDCap Platform to Integrate the Risks from Diverse Sources for a Clinical-grade Genome Informed Risk Assessment 

Kimberely Cox - Data Differences Between VHA Sites Reduce Machine Learning Model Transportability  

Ryan Moore - Artificial Intelligence For Improved Patient Outcomes 

Distinguished Poster Award Recipients: 

Kristen Whelchel - Implementation of a Flowsheet to Track Patients with Inflammatory Bowel Disease Initiating a Biologic with Complex Dosing Regimens 

Hyunjoon Lee - Assessing the Need for a Clinical Decision Support Tool to Improve Random Urine Drug Screening for Patients on Chronic Opioid Therapy 

Megan Wang - Delinking Cephalosporin Cross Sensitivity Alerts in Patients with PAL 

Jacob Franklin & Thomas Ueland - eVisit, then what? A Patient-level Analysis of Care Utilization and Messages 

Sabrina Carro - Evaluating the Antibiotic Spectrum Index as an Outcome in the Context of a Randomized Clinical Trial 

Eva Dye - The Integration of a Neonatal Multiuse Clinical Database Within the Electronic Health Records