Congratulations to Henry Chu, Director of the Informatics Research Institute and Professor in the School of Computin
Workshop: Exploring The Transformative Impact of Applied AI on Health Outcomes
Thu, 01/16/2025 - 4:51pmApril 23, 2024
Despite the highest healthcare spending, the U.S. has poorer health outcomes compared to other high-income countries, with Louisiana ranking low on many health indicators ranging from chronic diseases to behavioral health. Artificial Intelligence (AI) holds the promise of enabling quicker and better-informed decision-making for patients, doctors, and policymakers and can enhance health behaviors by a better-managing individual to population health.
The workshop's goal is to bring in interdisciplinary experts (e.g., physicians, health policy experts, public health scholars, and AI researchers) to help understand the challenges posed by fragmented information infrastructure from multiple perspectives, gaps in patient behavior sensing, and how these issues affect health outcomes. The workshop will foster collaboration between AI researchers and health experts to identify challenge areas, funding sources, and collaborative research opportunities.
Workshop co-organized by Raju Gottumukkala, PhD; Chris Kimmel & Henry Chu, PhD., UL Lafayette, Aron Culotta, PhD, Tulane, Dr. Jason Hill & Nick Duesbery, PhD, Ochsner Health.
Industry Participants: Ochsner Health, CGI, Google, One Telemed, Louisiana Department of Health (Medicaid & Office of Public Health), Aetna Health, FMOL Health System, Medtronic, and Haltian Inc.
The workshop was held on April 23, 2024, from 8:30 a.m. to 2:15 p.m. at the Center for Academic Excellence on the Ochsner Main Campus.
The workshop was structured around the following objectives:
- Learning from Healthcare Organizations: Gain insights from healthcare entities regarding challenges in achieving favorable health outcomes, including but not limited to care transitions, patient engagement, patient monitoring, health disparities, and access to rural healthcare.
- Showcasing Ongoing AI/ML Research:
- Present ongoing and pertinent research endeavors in Artificial Intelligence and Machine Learning.
- Identifying Synergies: Explore potential synergies between AI expertise and addressing the challenges impeding optimal health outcomes.