AI Leadership for Healthcare

A professional certificate program

Program Overview

The use of artificial intelligence (AI) in healthcare has already had 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 opportunities, develop strategies, and lead AI projects. While participants will have the opportunity to engage in hands-on AI exercises throughout the training, programming experience is neither expected, nor required.

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Text-only version of the brochure.

Valuable Outcomes

By the end of this program, you will learn to:

Identify the right AI tool for different challenges and opportunities
Leverage advances in AI to empower providers and patients
Implement and manage AI projects in healthcare
Demystify AI “buzzwords” like machine learning, deep learning, computer vision, and natural language processing (NLP)
Learn about major trends in cybersecurity, telemedicine, ethics and bias in algorithms, and clinical decision support

From big data to policy, artificial intelligence is significantly changing the healthcare industry... it proves to be a critical component in diagnosis, treatment, care delivery and outcomes.

HIMSS May 2020

Who Should Take This Program

Ideal participants aspire to use data analytics to drive growth and efficiency in 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 an AI-enabled environment, one in which business models, technology capabilities, and organizational structures are in constant motion. No coding experience required.

Hospital and practice administrators
Medical service providers
Health IT & informatics professionals
Medical technologists
Healthcare product/service vendors
Pharmacy operations
Insurance professionals
Consultants & Contractors

AI will not replace healthcare professionals, but those who know AI will surpass those who don't.

Kenyon Crowley, PhD Managing Director, Health Analytics at Accenture Federal Services

Latest news from the Maryland Smith program team

Degree and certification programs drive health care, Baltimore Sun Education Marketplace

Program Details

Program Length: Four (4) consecutive modules with virtual, live sessions, on Tuesdays. The overall program duration is 12 weeks.
*Non-academic Credits: 10.8 University of Maryland CEUs (non-academic credits) per course.

Each of these four modules is based on a high-touch learning experience and is:

Grounded in dual learning themes - Healthcare Management and Artificial Intelligence
Scheduled over three weeks to ensure flexible learning for busy working professionals
Self-paced learning plus weekly, live online sessions bringing learners, faculty and industry speakers together
Curated by University of Maryland faculty and brought to you in an intimate, cohort environment
Embedded with innovative AI tools to practice data-driven decision-making when solving real challenges
Intuitively built in a Google Colab™ environment - no coding experience required
Based on a 360-degree view of the business of healthcare

Module Descriptions

We've built flexibility and convenience into this program. The program offers an on-demand component allowing you to learn at your own pace, plus one live weekly session, allowing you to take a deeper dive with faculty and interact with fellow healthcare professionals. The next program offering begins Spring 2022.

Module 1: Health Financial Management

Review 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.

Facilitators: Dylan H. Roby, PhD and Melvin Seale, PhD

Live Session Special Guest: Philip Resnik, PhD, Professor, Dept. of Linguistics and Institute for Advanced Computer Studies, University of Maryland

Live Sessions: Every Tuesday, 7 p.m. to 8:30 p.m. ET

Healthcare Management Topics:

Healthcare insurance markets
Claims, reimbursement, and payment models
Quality measures and risk adjustment
Telemedicine and new policies

Artificial Intelligence Topics:

Overview of AI applications in revenue management
Exploratory Data Analysis (EDA) on charges and costs data
Natural language processing (NLP) for patient risk factors
Pipeline of an AI project

Module 2: Healthcare Operations and Patient Engagement

Be introduced to 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: Michelle Dugas, PhD

Live Session Special Guest: Gurdeep Chhabra, MD, Chief Medical Officer, Zasti

Live Sessions: Every Tuesday, 7 p.m. to 8:30 p.m. ET

Healthcare Management Topics:

Marketing segmentation and precise engagement
Consumer retention and improving the patient experience
Quality management and capacity planning
Population health management and social determinants

Artificial Intelligence Topics:

Clustering for segmentation and targeted outreach
Sentiment analysis for patient experience insights
Decision trees for clinical decision support
Topic modeling and ensemble methods

Module 3: Health Tech and Informatics

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: Kenyon Crowley, PhD, MBA, CPHIMS

Live Session Special Guests:
Larry Gordon, PhD, EY Alumni Professor of Managerial Accounting and Information Assurance at University of Maryland
Brian Jacobs, PhD, Professor of Pediatrics, The George Washington University

Live Sessions: Every Tuesday, 7 p.m. to 8:30 p.m. ET

Healthcare Management Topics:

Information architectures and infrastructure
Data standards, interoperability, HIE, and FHIR
Cybersecurity
Cloud computing for healthcare

Artificial Intelligence Topics:

Neural networks
Transfer learning
CNN for image analysis
AI usability and usefulness

Module 4: Leading AI Transformation

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

Facilitator: Neta Moye, PhD

Live Sessions: Every Tuesday, 7 p.m. to 8:30 p.m. ET

Healthcare Management Topics:

Effective decision making
Teaming in the new AI-centric environment
Change management
Growing your leadership footprint

Artificial Intelligence Topics:

Data-driven AI culture
Scope AI projects and evaluate ROI
Interpretability and trust of AI
Ethics and biases in AI

Learn More

Learn More about the Program

Start Date: Spring 2022

Virtual live sessions with subject matter experts are held on Tuesdays from 7 to 8:30 p.m. ET.

What do you receive for completing the program?

Professional Certificate Program: 10.8 UMD CEUs

Program Fee: $3,995 for the 12-week program

Discounts: Available for University of Maryland alumni and BIG10 Conference School Alumni and for organizations with multiple enrollments. Please contact us for more information.

“Inovalon partnered with Maryland Smith 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 Team of Experts

Robert H. Smith School of Business

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

Gordon Gao is the director of the Health Insights AI Lab, the co-director of the Center for Health Information and Decision Systems (CHIDS), and a professor at the Smith School of Business, University of Maryland, College Park. His research interests include Big Data and Artificial Intelligence in healthcare, health IT, and quality transparency. 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 Crowley 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 Dugas 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. Dugas has published peer-reviewed articles on digital health, healthcare marketing, and patient engagement.

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

Neta 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.

University of Maryland School of Public Health

Dylan H. Roby, PhD

Dylan H. Roby is associate chair and associate professor in the Department of Health Policy and Management at the University of Maryland School of Public Health. 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.

Melvin Seale, PhD

Melvin Seale is an assistant professor and director of graduate studies in the Department of Health Policy and Management at the University of Maryland School of Public Health. Seale’s research focuses on the 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.

Guest Faculty and Industry Experts

Philip Resnik, PhD
Professor, Dept. of Linguistics and Institute for Advanced Computer Studies
University of Maryland

Gurdeep Chhabra, MD
Chief Medical Officer
Zasti

Larry Gordon, PhD
EY Alumni Professor of Managerial Accounting and Information Assurance
University of Maryland

Brian Jacobs, PhD
Professor of Pediatrics
The George Washington University

Now is the time.

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

View Brochure

Text-only version of the brochure.

*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.