Industry Roundtables at the 2024 Annual Symposium
Attendees at the 2024 Annual Symposium are invited to sign up for the following interactive Industry Roundtables, hosted by AMIA’s industry partners. This is an excellent opportunity to learn, share ideas, provide feedback, and engage and collaborate with industry and fellow conference attendees. Breakfast or lunch is included.*
Select the roundtables that you would like to attend when you register for the conference. If you have already registered for the conference, you may manage your registration to add the sessions. Space is limited for each session, and registering for the session does not guarantee attendance. If you are selected to participate, you will receive confirmation via an invitation from AMIA prior to the conference.
*Please note: the sponsors of these sessions are not reporting entities in the CMS Open Payments Program. All conference attendees may freely partake in the sponsor-provided food and beverage.
Wolters Kluwer
From Data Chaos to Clarity: Governance and Normalization for Enhanced Analytics and Real-World Insights
Monday, November 11, 7:00 am - 8:30 am
Join us for an interactive discussion to unpack the top challenges Informatics teams are grappling with and share actionable strategies to close critical data quality gaps. Data accuracy, consistency, and completeness are often compromised due to disparate sources, varying terminology standards, and lack of data provenance, leading to flawed analyses and conclusions. We invite you to share the most pressing data quality issues in informatics, sharing best practices for validation and cleaning, and identifying the role of emerging technologies in improving data integrity.
Moderator
- Shobha Phansalkar, RPh, PhD, FAMIA; VP, Client Solutions and Innovation, Wolters Kluwer, Health Language
Target Audience
CIOs, Chief Analytics Officers, Chief Research Officers, Chief Data Officers or Population Health Officers, Health Information Management (HIM) VPs/Directors of Digital Health Platforms, and data geeks generally interested in healthcare analytics!
InterSystems
Focus Group: Guarding Against Gen AI Pitfalls
Monday, November 11, 12:10 pm - 1:40 p.m.
Generative AI is driving excitement for its potential to transform clinical practices, patient care, and medical research. However, concerns about its adverse effects, such as inaccuracy, bias, discrimination, patient privacy breaches, and hallucinations, persist. This focus group will address the challenges your organization is currently facing regarding these issues. We invite you to share your experiences, including the guardrails you have implemented, and the governance models you have explored. Together, we will brainstorm actionable strategies to facilitate the safe and effective use of Gen AI. Join us for a forward-thinking dialogue that shapes the future of Gen AI in healthcare.
Moderator
- Laury Liu, Marketing Intelligence Manger, InsterSystems
Target Audience
Providers/Health Systems; Directors, VPs, and C-level positions; and those whose job functions include medical informatics, data/analytics, IT, AI, operations, and research (i.e. Chief Research Informatics Officer)
MDClone
Unlocking Healthcare Insights: How MDClone Empowers Researchers to Transform Data into Action
Tuesday, November 12, 7:00 am - 8:30 am
Explore the transformative power of MDClone’s innovative data solutions at AMIA. This session will highlight the strategic importance of implementing MDClone’s ADAMS Center, a platform designed for data democratization and synthetic data generation. It will also spotlight a compelling use case on utilizing synthetic data to address preoperative anemia in elective hysterectomy patients. Discover how MDClone’s self-service platform accelerates access to data, enabling researchers to quickly and efficiently transform raw data into actionable insights. Learn how this speed to data can significantly enhance your research capabilities and outcomes. This session aims to be interactive and informative, providing valuable takeaways for all participants. Don’t miss this opportunity to revolutionize your approach to healthcare research with MDClone.
Moderators
- Dr. Innie Chen, MD, MPH, FRCSC, Associate Professor, Department of Obstetrics & Gynecology, University Of Ottawa
- Julie Johnson, PhD, MPH, RN, Executive Director, Center for Research Informatics at University of Chicago
Target Audience
Healthcare Researchers, Clinical Data Scientists, Medical Informatics Specialists, Healthcare IT Professionals, Clinical Operations Managers, Healthcare Administrators, Epidemiologists, Biostatisticians; Health Policy Analysts; Medical Directors
Oracle Health
Transforming Healthcare with AI-Driven Longitudinal Data Insights
Tuesday, November 12, 12:10 pm - 1:40 pm
A myriad of data insights are required to navigate the complexities of operating a healthcare enterprise. Data requirements surpass what the electronic health record alone can support. Organizations need data insights and analytics to manage cost, workforce, efficiency, quality, and outcomes. Join a set of your industry peers in this roundtable discussion to explore the intricacies of utilizing longitudinal data to address a broad set of enterprise needs--advancing clinical treatment protocols, creating operational efficiency, improving individual outcomes and population health, and navigating new horizons in life sciences. We'll discuss the challenges and strategies around accessing and applying the data. Then we'll explore how different types of artificial intelligence can ensure that we're extracting the actionable insights and surfacing those insights where they are needed the most.
Moderators
- Bharat Sutariya, SVP, Chief Health Officer, Oracle Health
- Christine Swisher, VP, Science and Clinical Informatics, Health Data Intelligence, Oracle Health
Target Audience
CIOs, CMIOs, CMOs, CNIOs, CNOs, CDOs, AI Officers, Analytics Officers, Population Health Officers, Quality Officers
Triomics
Aligning Generative AI Models for Safe Use in Oncology Care and Research
Tuesday, November 12, 12:10 pm - 1:40 pm
This roundtable aims to address critical aspects of aligning generative AI models for safe use amidst the complex landscape of oncology care and research. Through a series of expert-led discussions, we will explore the frameworks and methodologies necessary to ensure that these powerful tools are developed, validated, and implemented with the utmost regard for patient safety and data integrity. Participants can expect to learn best practices from real-world experiences and data from implementing generative AI solutions into oncology workflows at U.S. health systems.
Moderators
- Regina Schwind, VP of Clinical Data, Triomics
- Sebastien Rhodes, VP of Strategy & Operations, Triomics
Target Audience
Health System representatives; senior leaders at academic, community and private cancer centers; senior leaders at non-hospital institutions including pharma or patient advocacy groups
