Graduate Certificate in Health Care Analytics and Artificial Intelligence
Harness analytics and AI to transform health care.
Advance your career in health care with the Health Care Analytics and Artificial Intelligence Certificate from Simon. The program includes three courses focused on enhancing your operations management and data-driven decision-making skills through the power of AI and data analytics. Credit earned can be transferred to Simon’s Master of Science in Medical Management, Professional MBA, or Executive MBA programs. The evening and weekend format allows flexibility for working professionals, and the condensed program length allows professionals to build expertise in a specialized area without the time commitment of a full degree.
This structured curriculum provides a focused approach and an emphasis on practical application to understanding and applying analytics and artificial intelligence in health care settings.
| Fall A | Fall B | Spring A | Spring B | Summer |
|---|---|---|---|---|
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| HSM 437: Managing Health Care Operations | HSM 464: Health IT and AI |
- HSM 437 - Managing Health Care Operations
The health care industry is undergoing rapid growth as well as rapid structural changes. New technology, changing reimbursement mechanisms, and increased competition create many interesting management problems, least of which in the area of health care operations. In this course, we will study the operations of various types of health care provider organizations (such as hospitals, HMO’s, group practices, nursing homes, etc.) and other participants in the industry (such as insurance companies, pharmaceutical companies, suppliers, and consulting companies). Topics that will be studied include patient and provider scheduling, capacity management, providing services and supplies to health care providers, new product development and integrated delivery systems. Students who took OMG 402 or similar need to obtain instructor’s permission prior to registration.
- HSM 464 - Health IT and AI
The objective of this course is to provide health care executives with an understanding of the role that Information Technologies can play in driving care quality and financial performance in their organizations. It is intended to improve their ability to invest strategically and thoughtfully in IT to achieve the desired organizational returns. The course discusses how information technologies are reshaping and redefining the health care sector through better care, efficiencies in the delivery of care, advanced tools for patient involvement and continuum of care, decision support tools for clinicians, and the generation of insight from digital exhaust. It teaches students how to critique and analyze various technology tools and systems currently available to health care professionals. The focus is largely on strategic level issues, although some implementation issues will also be discussed.
- HSM 465 - Health Care Data Visualization and Analytics
The focus of the course is on learning to get insights from healthcare datasets. An important component of the course learning will be a term-long project. Tableau will be taught as a data visualization tool and you will learn to clean a dataset, interactively analyze a dataset, visualize insights, as well as publish and maintain a dashboard. Related topics will also be covered including data literacy, data governance, and inference.
Skills You Will Gain
- Understand how to use IT and AI strategically to improve health care quality.
- Develop data literacy, systems thinking, problem solving, and project management skills.
- Gain expertise in analyzing health care data, e.g., as you can with Slicer Dicer.
- Learn to use Tableau to interactively explore and visualize health care datasets and build dashboards.
- Understand how to map service processes and analyze their performance.
- Learn about commonly used inventory management policies and how to balance key costs.
Who should apply for the certificate?
This certificate benefits clinical and non-clinical professionals looking to start or advance their careers in health care through analytics and artificial intelligence.
Including roles such as:
- Clinical professional (e.g., doctor, nurse)
- Hospital administrator
- Clinical and non-clinical data analyst
- Health care marketing analyst
- Health IT specialist