AI Leadership for Healthcare

The Robert H. Smith School of Business

The Robert H. Smith School of Business


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Who should attend

This program is best suited for senior leaders and managers in hospitals and healthcare systems, clinicians, consultants and those with substantial business unit responsibilities within the healthcare ecosystem. Ideal participants aspire to use digital to drive growth at their organization and want to understand the new essentials of leading in the digital economy. They also want to learn how to build and lead teams in this new AI-centric environment, one in which business models and organizational structures are in constant motion.

About the course

The use of artificial intelligence (AI) in healthcare is forecasted to have a transformative impact on the delivery of patient care and the business of providing quality healthcare. This program provides healthcare professionals with an understanding of how AI applications and strategies are being deployed across the core functions of healthcare. It will equip current and future healthcare leaders with the insights needed to critically evaluate AI opportunities, develop AI strategies, and lead AI projects. Take the time to learn and practice with professionals in this convenient, short course program.

Program Overview

This one-of-a-kind AI-centric training program is designed for managers, administrators, clinical professionals and others who seek to advance their career through a focused study preparing for the future of AI-enabled healthcare. While participants will have the opportunity to participate in hands-on AI exercises throughout the training, no programming experience is needed. You will be guided through this learning journey by award-winning, research experts and joined by like-minded professionals in the field of healthcare.

Valuable Outcomes

By the end of this program, you will have learned to:

  • Identify the right AI tool for different challenges and opportunities
  • Leverage advances in AI to empower providers and patients
  • Navigate the upcoming paradigm changes and complexities
  • Implement and manage AI projects in healthcare

Course Descriptions

Each of the four modules involves:

  • Approximately 16 hours total time; spread over four weeks to ensure maximum learning for busy working professionals
  • Asynchronous content (done on your own schedule) and 4 live, online sessions
  • Smith and UMD faculty expertise brought to you in an intimate, cohort environment
  • Key managerial AI tools for effective decision-making
  • Demonstration and interpretation of AI algorithms in action through Colab™

  • Program Orientation - Virtual Live Session

  • Module 1: Health Financial Management

  • Module 2: Healthcare Operations and Patient Engagement

  • Module 3: Health Tech and Informatics

  • Module 4: Leading AI Transformation

  • Program Closing - Virtual Live Session


Guodong Gao

Guodong (Gordon) Gao is a professor in the Decision, Operations and Information Technologies Department at the Robert H. Smith School of Business at the University of Maryland. His research interests include IT's impact on healthcare and innovation, and the transparency in service quality. His ...

Neta Moye

Dr. Moye has over 25 years of experience in the field of human resources with particular expertise in helping individuals develop leader skills. She has spent the last 10 years focused on the practice of leadership development across academic, industry, and government settings. She has experience...

Kenyon Crowley

Kenyon Crowley, PhD, MBA, CPHIMS serves as managing director of the Center for Health Information and Decision Systems (CHIDS), where he manages a broad portfolio of innovation activities aimed at improving the design, integration and effective use of digital systems and analytics in healthcare. ...

Michelle Dugas

Michelle Dugas, PhD is a senior research scientist at CHIDS where she applies her background as a social psychologist to better understand how technology and analytics can be leveraged to help people achieve their health goals, address bias and disparities in care, and reduce burdens on providers...

Dylan Roby

Areas of Interest: U.S. Healthcare System Health Care Affordability Health Information Technology Impacts of Managed Care Disease Management Programs Health Insurance Markets Health Care Reform Safety Net Clinics and Hospitals Dylan H. Roby, PhD, is faculty associate at the UCLA Center for H...

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AI Leadership for Healthcare at The Robert H. Smith School of Business

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Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Read more about Leadership

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