FOXEXEC0029 - Applied Analytics and AI in Healthcare
Course Description
In recent years, analytics and AI have revolutionized the healthcare industry, enabling data-driven decision-making, predictive analytics, and enhanced patient care. How can healthcare providers harness the power of these technologies to improve outcomes? What challenges arise when implementing AI solutions in clinical settings? In this half day workshop, we will examine how healthcare systems are leveraging applied analytics and AI to address real-world problems, such as optimizing treatment plans, predicting patient risks, and improving operational efficiency. We will also discuss the future of AI in healthcare and explore its potential to further disrupt traditional care models.
Facilitated by Professor Subodha Kumar, Paul R. Anderson Distinguished Chair Professor of Statistics, Operations, and Data Science and the Founding Director of the Center for Business Analytics and Disruptive Technologies at Temple University’s Fox School of Business.
Course Outline
This workshop will be held on Temple University's main campus on Friday, June 6th, 2025 from 9 a.m. to 12 p.m. ET. Throughout the workshop, there will be interactive breakout work and opportunities for networking between the facilitator and participants.
The investment required to attend this workshop is $450 per participant. Organizations sending groups of 3+ participants are eligible for a discount. Contact Gregory Maughan for more information at gregory.maughan@temple.edu or 215-204-3990.
Learner Outcomes
• Gain insight into how AI and analytics are applied to healthcare, from clinical decision support to operational efficiency.
• Learn about the latest tools and technologies, including machine learning algorithms, predictive modeling, and AI-driven diagnostics.
• Understand the challenges healthcare organizations face when adopting these technologies and how to overcome them.
• Explore real-world examples of AI applications in healthcare and their impact on patient care, treatment outcomes, and cost reduction.
• Discuss the ethical considerations and regulatory aspects of integrating AI into healthcare systems.