Name
Leveraging Artificial Intelligence and Unified Multimodal Data to Improve Health Equity
Session Type
Breakout Session
Room Name
Brule
Date & Time
Wednesday, October 16, 2024, 10:45 AM - 11:15 AM
Time
10:45 AM - 11:15 AM
Presentation Title
Leveraging Artificial Intelligence and Unified Multimodal Data to Improve Health Equity
Description
Moving the needle on health equity through artificial intelligence (AI) requires clean, unified data from electronic health records (EHRs), health information exchanges (HIEs), public health, and more. Coupled with a governance strategy to mitigate risk and avoid bias, a centralized data repository is key to deploying AI. Unstructured, siloed data in legacy formats presents a unique multimodal data challenge. How can health care organizations harmonize disparate data and use AI to identify at-risk populations, enable proactive interventions, and reduce care disparities? In this session we'll highlight: the challenges of harmonizing data for AI use cases; how an AI governance strategy can mitigate data risk and avoid bias; and how unified data can help health care organizations ensure better access to care, improve clinical decision support, and provide more proactive health care.
Session Objectives
1. Learn the importance of unifying health care data to tackle AI use cases.
2. Understand key components of a governance strategy to securely and ethically manage data for AI applications.
3. Understand key AI use cases that a unified data strategy can enable.
Speaker Name
Tim Kessler
Speaker Title
VP, Field Engineering
Speaker Organization
Redox
Speaker 2 Name
Aaron Zavora
Speaker 2 Credentials
B.S.
Speaker 2 Title
Technical Director
Speaker 2 Organization
Databricks