AMIA 2026 Annual Symposium Industry Roundtables
Attendees are invited to sign up for the following interactive Industry Roundtable, hosted by AMIA’s industry partner. This is an excellent opportunity to learn, share ideas, provide feedback, and engage and collaborate with industry and fellow conference attendees. Lunch is included.*
To express interest in participating, select the roundtable when you register for the conference. If you have already registered for the conference, you may manage your registration to add the roundtable.
Space is limited, and registering for the roundtable does not guarantee attendance. If you are selected to participate, you will receive confirmation via an invitation from AMIA shortly before the conference.
*Please note: the sponsor of this session is not a reporting entity in the CMS Open Payments Program. All conference attendees may freely partake in the sponsor-provided food and beverage.
Wolters Kluwer
AI-Enabled Value Set Management as a Semantic Infrastructure for Precision Medicine
November 9, 2026 | 12:20 - 1:50 pm
Join us for an interactive roundtable exploring how AI-enabled value set management can support scalable precision medicine initiatives through semantic abstraction and computable phenotype generation. As healthcare organizations expand pharmacogenomic (PGx) and precision medicine programs, informatics teams are increasingly challenged with harmonizing genomic data with the complex patient context contained within heterogeneous EMR environments. While genomic information such as PGx results can provide valuable clinical insights, it is often not actionable in isolation. Effective precision medicine workflows require additional contextual data including medication exposures, diagnoses, laboratory results, procedures, and longitudinal clinical history. However, organizing clinically relevant information across diverse terminology systems and data sources into computable patient phenotypes and reusable clinical features remains resource intensive and difficult to scale using traditional manual approaches to value set development and maintenance. AI-enabled value set management systems offer a new approach by functioning as a semantic layer capable of organizing heterogeneous clinical data into scalable, reusable computable phenotypes that support clinical decision support, predictive analytics, and precision medicine workflows. This session will explore practical strategies for leveraging AI-assisted value set and terminology management as a semantic abstraction platform for generating computable phenotypes that reduce barriers to cross-institutional precision medicine adoption while improving scalability, interoperability, and governance.
Register now or add to your existing registration
Target Audience
CIOs, CMOs, CMIOs, Chief Analytics Officers, Chief Research Officers, Chief Data Officers, Population Health Leaders, VPs/Directors of Digital Health Platforms, and anyone passionate about healthcare data quality, value set curation, and analytics enablement.
Moderator
Shobha Phansalkar, RPh, PhD, FAMIA
VP, Client Solutions and Innovation at Wolters Kluwer, Health Language
