AI Leadership for Healthcare

Leveraging AI for Healthcare

A Professional Certificate Program, Online

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.

View Brochure: AI Leadership for Healthcare

You may also find a text-only version of the brochure here.

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 LogoMay, 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 and Maryland Smith Managing Director
Center for Health Information and Decision Systems

Program Details

Course Length: Each course is 4 consecutive weeks with 4 virtual, live sessions, on Tuesdays.
*Non-academic Credits: 3.8 University of Maryland CEUs (non-academic credits) per course.

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

  • Grounded in dual learning themes - Healthcare Management and Artificial Intelligence
  • Scheduled over four 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

VIEW PROFESSIONAL CERTIFICATE PATH

Course Descriptions

We've built flexibility and convenience into this program. Each course 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. You may register for courses individually now, or wait to register for the full, non-credit program certificate when the four-course sequence starts again in Fall 2021, for maximum impact to your career.

Note: If you would like to be contacted with information and registration details for the Fall 2021 full non-degree certificate program, please complete the contact form at the top of this page, and we’ll be sure to keep in touch.

COURSE 1: May 3 to May 28, 2021

Health Financial Management

Registration now closed.

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

Registration now closed.

Dates: May 3 to May 28, 2021

Live Sessions: Every Tuesday, 7-8:30 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

COURSE 2: June 7 to July 2, 2021

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

Register By: June 4, 2021, 11:59 p.m. ET

Dates: June 7 to July 2, 2021

Live Sessions: Every Tuesday, 7-8:30 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

COURSE 3: July 12 to Aug. 6, 2021

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

Register By: July 9, 2021, 11:59 p.m. ET

Dates: July 12 to Aug. 6, 2021

Live Sessions: Every Tuesday, 7-8:30 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

COURSE 4: Aug. 16 to Sept. 10, 2021

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

Register By: Aug. 13, 2021, 11:59 p.m. ET

Dates: Aug. 16 to Sept. 10, 2021

Live Sessions: Every Tuesday, 7-8:30 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

Registration Options

Register for courses individually and select the courses that best drive your career growth and professional work/life balance. Or await the start of the next full program cycle in Fall 2021 when you’ll be able to bundle the four courses together and save over up to $550, while earning the non-credit professional certificate.

Organizations that register more than two team members can save even more. To register your organization or learn more, contact rhsmith-execed@umd.edu.

Individual Courses 

CEUs - 3.8 each
Certificate of Completion
Foundational Content - Courses 1 & 2
Advanced Content - Courses 3 & 4
Cost - $895 each

REGISTER: INDIVIDUAL COURSE

Course 1 - Closed
Course 2
Course 3
Course 4

Professional Certificate Program

CEUs - 15.2 total
Professional Certificate and Digital Badge
Foundational Content - Included
Advanced Content - Included
Cost - $2,999 (Save 17%)

Organizations are eligible for multi-enrollment discounts.

LEARN MORE - email: rhsmith-execed@umd.edu

 "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

Gordon Gao

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

He 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

Kenyon Crowley, PhD, MBA, CPHIMS

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.  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

Michelle Dugas, PhD

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

Neta Moye

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

Dr. 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

Dylan H. Roby, PhD

Dylan 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. 

Guest Faculty & Industry Experts

  Philip Resnik, PhD
Professor, Dept. of Linguistics and Institute for Advanced Computer Studies
University of Maryland
Course 1 Live Session Special Guest

 

 Gurdeep Chhabra, MD
Chief Medical Officer
Zasti
Course 2 Live Session Special Guest

 

 Larry Gordon, PhD
EY Alumni Professor of Managerial Accounting and Information Assurance
University of Maryland
Course 3 Live Session Special Guest

 

 Brian Jacobs, PhD
Professor of Pediatrics

The George Washington University
Course 3 Live Session Special Guest

 

Now is the time.

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

*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.

Robert H. Smith School of Business
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