Decentralized, Immutable, and Transparent Metadata Ledgering System for Biomedical Datasets

Presentation Time: 01:45 PM - 02:15 PM

Abstract Keywords: Data Sharing, Governance of Artificial Intelligence, Interoperability and Health Information Exchange
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics

This study delves into a blockchain-based framework to manage the metadata of biomedical datasets. Our system offers metadata storage and querying, ensuring decentralization, immutability, and transparency across participating institutions. We also developed a graphic user interface which supports storage and query functionalities based on 12 metadata parameters of a COVID-19 research initiative. This system demonstration will introduce, exhibit, and discuss the technological advances and potential challenges of blockchain-based design.

Speaker(s):
Yufei Yu, BS
University of California San Diego

Author(s):
Roger Lacson, BS - Yale School of Medicine; Pritham Ram, BS - Yale School of Medicine; Hua Xu, Ph.D - Yale School of Medicine; Lucila Ohno-Machado, MD, PhD - Yale School of Medicine; Tsung-Ting Kuo, PhD - University of California San Diego;

HealthMarshall: A Path through the Forest behind Phone Trees in Healthcare

Presentation Time: 02:15 PM - 02:45 PM

Abstract Keywords: Large Language Models (LLMs), Telemedicine, Natural Language Processing, Human-computer Interaction, Health Equity, Interoperability and Health Information Exchange
Primary Track: Applications
Programmatic Theme: Consumer Health Informatics

HealthMarshall is an LLM powered question answering chatbot which integrates into the patient portal of an OpenEMR instance. It can answer basic questions about a patient’s prescriptions using retrieval augmented generation (RAG). The RAG process operates by extracting information about the patient's prescriptions from the patient's medical notes, and linking this information to prescription knowledge from the database of MicroMedex. This information is injected into the LLM's prompt to ground its responses in real knowledge and prevent hallucinated responses to the patient's questions. HealthMarshall was designed to help reduce the burden that complex call trees place upon patients. Complex call trees can make it quite complex and tedious for a patient to access their care provider to get basic questions about their care answered. Technology that can answer the most basic of these questions would provide significant help in saving both patients’ and providers’ time and increase healthcare accessibility for vulnerable populations with limited digital literacy.

Speaker(s):
Jacob Solinsky, Masters of Science
University Of Minnesota

Author(s):
Changye Li, PhD - University of Minnesota; Martin Michalowski, PhD, FAMIA - University of Minnesota; Serguei Pakhomov, PhD - University of Minnesota; Jacob Solinsky, Masters of Science - University Of Minnesota;

NeLL2.0: Advancing Nursing Education in Data Science and Informatics

Presentation Time: 02:45 PM - 03:15 PM

Abstract Keywords: Education and Training, Nursing Informatics, Systems Biology
Primary Track: Applications
Programmatic Theme: Academic Informatics / LIEAF

NeLL2.0 emerges as a revolutionary advancement in nursing education, succeeding the acclaimed Project NeLL by introducing a robust suite of enhancements. Hosting a vast database of over 1 million de-identified patient records, spanning a decade from the Emory Healthcare System, NeLL2.0 provides nursing students with practical, hands-on experiences in data science and informatics. Its user-friendly interface and expanded resources, including vital signs and emergency department records, ensure seamless exploration and analysis for students worldwide. Notably, NeLL's integration into informatics courses at prestigious institutions like Emory School of Nursing and Rutgers University demonstrates its growing recognition as an invaluable educational tool. Facilitating basic data analysis skills and extending to advanced research projects, NeLL2.0 prepares nursing professionals for the evolving healthcare landscape. With enhanced scalability and improved resources, NeLL2.0 signifies a pivotal milestone in nursing education, empowering students to thrive in a data-driven healthcare environment.

Speaker(s):
Ramya Govindarajan, Director
Emory University

Author(s):
Evan Smith, BS - Emory University;