AI Leadership for Healthcare

AI Leadership for Healthcare

A Professional Certificate Program, Online

Leveraging AI for Healthcare

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.

Register Now: AI Leadership for Healthcare

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

Program Details

Registration Deadline: January 15, 2021, 11:59 p.m. ET (space is limited)

Program Begins: Tuesday, Jan. 19, 2021

Program Length: A total of 18 weeks and 18 virtual live sessions:

  • Orientation: A virtual, live program session on January 19, 2021, 7-8:30 p.m. ET
  • Four Modules: Spaced over sixteen weeks of self-paced content with weekly virtual live sessions within each module, January 25 – May 28, 2021
  • Closing Session: A virtual, live program on June 1, 2021, 7-8:30 p.m. ET

Credits 8.3 CEUs (non-academic credits)

Cost $2,500*

*SAVE 20%

Maryland Smith and UMD alumni use promotion code LEADAI20

*SAVE 10%

Healthcare industry professionals use promotion discount code LEADAi10
Big10 Conference schools alumni use promotion discount code LEADAi-BIG10

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™

Date: Tuesday, Jan. 19, 2021
Time: 7-8:30 p.m. ET

Facilitators: Melvin Seale, PhD and Dylan H. Roby, PhD
Dates: Jan. 25 to Feb. 19, 2021
Live Sessions: Every Tuesday, 7-8:30 p.m. ET

This module reviews the fundamentals of healthcare finance while learning how AI is being applied across the revenue cycle. Topics include medical coding, denial management and fraud detection.

Facilitator: Michelle Dugas, PhD
Dates: March 1 to March 26, 2021
Live Sessions: Every Tuesday, 7-8:30 p.m. ET

This module will introduce a variety of AI tools that have been used to reduce costs, minimize waste and create value in the healthcare sector. The module will also showcase how to leverage AI for greater patient engagement by assessing patient preference, enhancing treatment precision and improving service processes.

Facilitator: Kenyon Crowley, PhD, MBA, CPHIMS
Dates: April 5 to April 30, 2021
Live Sessions: Every Tuesday, 7-8:30 p.m. ET

In this module, you will develop an understanding of core health informatics knowledge, systems and management concepts. Learn strategies, methods and policies for effectively applying data from clinical trends in cybersecurity, usability and cloud computing.

Facilitator: Neta Moye, PhD
Dates: May 3 to May 28, 2021
Live Sessions: Every Tuesday, 7-8:30 p.m. ET

Learn how to build AI capabilities across your organization and lead with a data-driven strategy. In this module, you will learn about cultivating the right organizational culture, manage change and the unique demands of introducing AI to the workplace.

Date: Tuesday, June 1, 2021
Time: 7-8:30 p.m. ET

Now is the time. Leverage your knowledge of AI, become a leader and add valuable skills to your organization.

Register Now: AI Leadership for Healthcare

Course Notice: Non-credit courses and Continuing Education Units (CEUs) do not post to the University of Maryland transcript and do not count towards a student's academic record. Neither a grade nor credit is earned. Students do not receive a University ID card and will not be granted access to University facilities such as recreation, transportation, and campus events. Non-credit students may access UMD Libraries as Visitors.

This is an Office of Extended Studies (OES) administered course. Contact Canvas Support if you experience any technical difficulties by calling (877) 399-4090 or by visiting the live chat.

Inovalon partnered with CHIDS to support our advancements in AI through predictions aimed at improving the efficient distribution and quality of care. They bring unique subject matter expertise on these systems, in addition to being highly networked thought leaders in the healthcare arena.

Eric Sullivan '93 (Neurobiology)
Senior Vice President, Innovation & Data Strategies
Inovalon

Our University of Maryland Team of Experts

Guodong (Gordon) Gao, PhD, MBA
Academic Director,
AI Leadership for Healthcare Program 

Gordon GaoHe is also the director of the Health Insights AI Lab, the co-director of the Center for Health Information and Decision Systems (CHIDS), and professor at the Smith School of Business, University of Maryland, College Park. His research interests include Big Data and Artificial Intelligence (AI) in healthcare, health IT, and quality transparency. Dr. Gao’s research has been profiled or featured in popular media such as the Washington Post, Wall Street Journal, and NPR news, and he is a recipient of the CAREER Award from the National Science Foundation.

Kenyon Crowley, PhD, MBA, CPHIMS

Kenyon CrowleyKenyon 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.  He has served as a scientific reviewer for the National Institutes of Health and the National Science Foundation, and has published peer-reviewed articles and book chapters on health data analytics, mobile health applications for chronic disease, and health IT implementation.

Michelle Dugas, PhD

Michelle DugasMichelle 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 and patients. Dr. Dugas has published peer-reviewed articles on digital health, healthcare marketing, and patient engagement.

Dr. Neta Moye,
Clinical Professor of Leadership,
Assistant Dean and Executive Director of the Office of Career Services

Neta MoyeDr. Moye has over 25 years of experience in the field of human resources with particular expertise in helping individuals develop leadership skills. An award-winning instructor, she has designed and delivered courses to thousands of individuals spanning the private and public sector, including for major health systems, all levels of leaders, and both non-degree and degree students within three top-25 MBA programs.

School fo Public Policy

Dylan H. Roby, PhD

Dylan H. RobyDylan H. Roby, PhD is Associate Chair and Associate Professor in the Department of Health Policy and Management at the University of Maryland School of Public Health. Dr. Roby’s research focus is on Medicaid, community health centers, safety net hospitals, delivery system change, and the Affordable Care Act's implications for insurance markets, system redesign and access to care. He has been called on as an expert in healthcare financial policy by numerous national media outlets, and was formerly director Health Economics and Evaluation Research Program at the UCLA Center for Health Policy Research where he led innovative medical claims analyses. Link to pic:

Melvin Seale, PhD

 Melvin Seale, PhD is Assistant Professor & Director of Graduate Studies in the Department of Health Policy and Management at the University of Maryland School of Public Health. Dr. Seale’s research focuses on interoperability and implementation of electronic health record systems within ambulatory care facilities. He previously served as Manager of Healthcare Quality & Compliance for the CVS Health Corporation and Director of the Health Information Management program at Gordon State College. 

Robert H. Smith School of Business
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