Corporate Roundtables at the 2023 Annual Symposium
Registration is now closed.
Attendees at the 2023 Annual Symposium are invited to sign up for the following interactive Corporate Roundtables, hosted by AMIA’s industry partners. This is an excellent opportunity to learn, share ideas, and provide feedback. Lunch is included.
Using the form below, select the session(s) that you would like to attend. Space is limited for each session, and the form submission does not guarantee attendance. If you are selected to attend, you will receive confirmation prior to the conference as well as a ticket with your conference badge.
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.
InterSystems
Deploying ChatGPT in Clinical Care: An Interactive Exploration of Possibilities and Challenges
Monday, November 13 | 12:10 – 1:40 pm
In this focus group, we will delve into the emerging role of ChatGPT in modern healthcare delivery and informatics research. The session will explore both the theoretical and practical aspects of integrating Large Language Model into diverse clinical settings, seeking to understand its potential to enhance patient-provider interaction, medical documentation, patient education, and clinical decision support.
Drawing on real-world applications and cases, participants will examine how such models can augment clinical care while navigating the unique ethical, privacy, and quality control issues they raise.
The primary objective of this focus group is to identify key considerations and best practices for leveraging ChatGPT and similar AI technologies in clinical care. The group will also discuss ways to design appropriate safeguards for data security, patient safety, and algorithmic transparency.
Speakers:
- Russell B Leftwich, MD, FAMIA
Senior Clinical Advisor, Interoperability - Laury Liu
Market Intelligence Manager
Triomics
Developing an Oncology-Focused Large Language Model (Onco-LLM)
Monday, November 13 | 12:10–1:40 p.m.
Large Language Models, such as OpenAI's ChatGPT, have taken the world by storm. However, their lack of understanding of clinical datasets has hindered their applications in clinical care and research. Against this backdrop, Triomics, in partnership with several leading cancer centers and Ci4CC, is spearheading the development of a specialized oncology-focused large language model. This model aims to assist the wider community by facilitating the use of data embedded in clinical notes for applications such as patient matching and data abstraction for EDC entry in clinical trials. Join this roundtable to learn more about the collaboration, its structure, and how your cancer center can potentially participate and benefit.
Speakers:
- Sarim Khan
Co-Founder & CEO - Hrituraj Singh
Co-Founder & CTO
314e Corporation
Unified Health Data Platform
Tuesday, November 14 | 12:10 - 1:40 pm
A unified health data platform has been recognized for some time as the best way to leverage information and analytics to deliver value through business use cases. However, in the past, healthcare data warehousing has been cumbersome, difficult, and constrained by the use of proprietary big-data and warehouse platforms. This has changed in the past few years with the advent of open-source data frameworks like Spark, the popularization of concepts like the Lakehouse, the utilization of storage formats like Parquet and Delta-Lake, and the widespread adoption of healthcare standards like FHIR.
In this round table, 314e Corporation shall demonstrate the features and use of a unified Health Data Platform, including the following elements:
- Setting up a Health Data Platform by creating robust ETL/ELT and Data Management Processes to integrate healthcare data of various types – including clinical data, administrative claims, care management data, and social determinants of health.
- The utilization of healthcare standards like FHIR to represent and store the data and make it directly leverageable for business use cases like clinical reporting, gaps-in-care identification, risk adjustment, and clinical quality measures.
- The use of the Lakehouse architecture to create a stable, scalable, and easy-to-use healthcare data warehouse.
- Master Data Management including De-Duplication and Enterprise Master Entity Indices to make sure that patient records are not fragmented.
- Data Ops to orchestrate the health data pipelines for both streaming and batch use cases..
- Addressing multiple healthcare business use cases including:
- Business Intelligence and Dashboards for clinical and business users
- Clinical Quality Measures and Reporting for compliance and quality reasons
- Financial Metrics and Dashboards to track medical expenses and revenue trends
- Advanced Visualization to bring out patterns in the healthcare data
- Clinical Natural Language Processing to process unstructured clinical notes and other free-text data
- Natural Language based querying of data to help lay users understand the data
- AI/Machine Learning and Predictive Models for various clinical and financial use cases
- The utilization of Generative AI for healthcare use cases
- APIs and Applications on top of the Health Data Platform
- Digital Transformation of a Healthcare Organization
After this roundtable, you will gain a deep understanding of how to create and leverage a unified health data platform to address your healthcare organization’s needs and use cases.
Vizient, Inc.
Hype versus Reality: How do we define value in today’s healthcare IT landscape?
Tuesday, November 14 | 12:10 – 1:10 pm
In today’s healthcare landscape, how do providers evaluate the value proposition of digital and data vendors in the market? Generative AI and LLMs are dominating the hype cycle, but they don’t solve every problem. Our session will focus on how organizations can best navigate identifying and implementing solutions that provide value for an organization. This interactive session will discuss the impact of digital offerings in the market related to LLMs/generative AI, clinical decision support, operational throughput, and other burning issues for provider organization.
Target Audience:
- CMO, CMIO, CNIO, CIO, Chief Data Officer, Chief Digital Officer, and other similar roles
Speakers:
- Shannon Sims, MD, PhD
Senior Vice President, Data Operations - Tyler Peterson, MS, MHA
Associate Vice President, Data Operations - Kevin Maxwell Lamovec
VP, Informatics and Technical Services
Registration
Registration is now closed.
