Events
2023 AMIA Informatics Summit
Date
March 13, 2023 12:00am - March 16, 2023 11:59pm
US/Pacific
Location
Hyatt Regency Seattle
808 Howell Street
Seattle, WA 98101
United States
The American Medical Informatics Association (AMIA) Informatics Summit will bring together more than 600 researchers, data scientists, software developers, and industry professionals to share the latest approaches and methods in translational bioinformatics on March 13-16, 2023. The conference will showcase cutting-edge innovations from ideation to implementation across a variety of key topics, including artificial intelligence, data governance, risk prediction models, and genomics operations.
RTI experts are excited to attend the 2023 AMIA Informatics Summit to network with fellow researchers in the bioinformatics community and present our innovations during two poster presentations. Joshua Richardson, PhD, will co-present a session about artificial intelligence-enhanced clinical decision support (AI-CDS) product information labels, while Jacqueline Bagwell, MMCi, will lead a session on an innovative method for automating EHR data pulls. Join us at our presentations to discuss how we can work together to improve health with translational bioinformatics. In addition, Dr. Richardson will serve as the chair of two panel discussions over the course of the AMIA Informatics Summit.
RTI Sessions & Presentations
A Narrative Review of Trustable AI to Develop an AI-Clinical Decision Support “Product Information Label”
Monday, March 13 | 5:00 – 6:30 PM PDT
Speakers: Ariella Hoffman-Peterson, MSL (University of Michigan) and Joshua Richardson, PhD
Hoffman-Peterson and Dr. Richardson will present results from a narrative literature review that aimed to determine practices in the design and development of AI-CDS product information labels. Research identified 25 articles across two categories: (1) development and conceptualization, and (2) design and implementation. The findings suggest that the development of an AI-CDS product information label could help promote understanding and transparency of underlying AI-CDS models among patients and providers.
Patient Engagement in Research and Care
Monday, March 13 | 3:30 PM – 5:00 PM PDT
Session Chair: Joshua Richardson, PhD
Speakers: Balu Bhasuran, PhD (University of California, San Francisco), Zhe He, PhD (Florida State University), Andrew Olson, MD (University of Minnesota) and Ezekiel Maier, PhD (Booz Allen Hamilton)
Dr. Richardson will chair a panel discussion focused on strategies for leveraging digital tools and methods to improve engagement with patients and personalize care.
REDCap on FHIR for Research: Piloting the Transfer of EHR Data via FHIR From Simulated EHR with Synthetic Patient Cohorts to REDCap Database to Augment Research Data Collection
Tuesday, March 14 | 5:00 PM – 6:30 PM PDT
Speaker: Jacqueline Bagwell, MMCi
Bagwell will present on the Research Electronic Data Capture (REDCap) Clinical Data Interoperability Services (CDIS) Module, a new method for collecting EHR data that aims to make it less difficult and time-consuming. The module, which is currently in use by Epic and Cerner EHR systems, allows users to map EHR data to REDCap fields and initiate data pulls. Data elements available through the module include basic demographics, labs, problem lists, medications, allergies, and vital signs. The research focuses on the feasibility of using REDCap to automate EHR data pulls, replacing the current model of self-reported or chart abstracted survey items.
Heating Up Research with Data and FHIR
Wednesday, March 15 | 1:30 PM – 3:00 PM PDT
Session Chair: Joshua Richardson, PhD
Speakers: Lisa Schilling, MD (University of Colorado), Andrey Soares, PhD (University of Colorado), Erwin Böttinger, MD (Icahn School of Medicine at Mount Sinai), Alex Cheng, PhD (Vanderbilt University Medical Center) and Md Kamruz Zaman Rana, PhD (University of Missouri-Columbia)
In this session, Dr. Richardson will chair a discussion among a panel of biomedical informatics experts about projects that use data-driven solutions that utilize standards and services to support patient and population-level health.
