The AI for Healthcare Program program is designed to equip senior-level professionals with the know-how and skills to navigate and leverage AI technology to improve business performance and patient outcomes. This intensive course aims to cover the key aspects of AI in healthcare tailored for leaders, focusing on both technical understanding and leadership skills for driving AI initiatives.
The sessions will be interactive, with case studies, group discussions, and hands-on activities.
Objectives:
4/11/2024 5:00 PM - 4/19/2024 5:00 PM
In Person
James M Collins Executive Education Building
SMU Campus
$3,500
Questions?
Call 214.768.3335 or email exed@smu.edu
Welcome Reception on Thursday, April 11th, 2024.
Day 1 (April 12th, 2024): Understanding AI in Healthcare
Session 1: AI Fundamentals (9 – 10:15 am)
· Introduction to AI and Machine Learning
· Key AI concepts and technologies
· The evolution of AI in healthcare
Session 2: Developing an AI Implementation Strategy (10:45 – 12 pm)
· Workflow Integration of AI
· Overcoming Technical and Operational Challenges
· AI Governance Framework
Session 3: Workshop – Identifying AI Opportunities (1 – 2:15 pm)
· Interactive Group Activity to Identify Potential AI Projects
· Evaluating Feasibility and Impact on Desired Outcomes (clinical, operational and financial)
Session 4: Panel Discussion: Getting Value From Your AI Investment (2:45 – 4 pm)
Day 2 (April 19th, 2024): Leadership and Transformation Through AI
Session 1: Enabling A Learning Health Organization Through AI
This session will focus on the critical components (data, technology, processes, people) that need to be in place for your organization to create a learning flywheel and derive value from your AI investments.
· Part A – Data & Technology (9 – 10:15 am)
o Evaluating readiness of your core systems
o Developing capabilities internally versus partnering
o What’s the right approach - platform v/s use-cases
· Part B – People (10:30 – 11:15 am)
o Building AI-Competent Teams
o Hiring and Training for AI Readiness
o Fostering a Collaborative AI Culture
· Part C – Processes (11:15 –12 pm)
o Leading Change in Traditional Healthcare Environments
o Deriving Business Value
Session 2: Ethical and Regulatory Considerations
This session will be divided into two complementary parts and will include real-world case studies, regulatory frameworks, and expert insights to provide a comprehensive understanding of the ethical and regulatory landscape of AI in healthcare.
· Part A: Addressing Ethical Implications of AI in Healthcare (1 – 2:15 pm)
o Data Governance
o Bias and Fairness
· Part B: Regulations and Corporate Risk (2:15 –3:30 pm)
o Accountability and Liability
o Transparency and Explainability
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