Recent technology advancements and the COVID-19 pandemic have revolutionized healthcare. Healthcare professionals now rely on digital health tools—such as wearable devices, sensors, AI-enabled clinical services, telemedicine applications and remote patient monitoring systems—to diagnose patients and monitor their care.
In this certificate program, you’ll be introduced to this exciting new era of healthcare. You’ll learn about the latest trends in digital health, such as the role of artificial intelligence, predictive analytics and robotics, data visualization and virtual and augmented reality, smart healthcare platforms, m-health, and telemedicine. And you’ll learn new skills through hands-on, interactive exercises.
Please note this workshop is part of an online, asynchronous workshop, meaning it takes place online, on your own time. There are no live meetings, either in person or online. You can view and complete assignments on your own time to fit into your busy schedule. However, you will need to commit six hours each week to complete each workshop and hands-on skills training assignments. You will interact with your fellow students and your instructor via weekly collaborative discussion forums and submit interactive Panopto videos.
Your instructor will be available to meet with you virtually, by appointment.
When you complete this program, you will earn a certificate.
Please see individual workshops for scheduled workshop dates.
Who Will Benefit
- Healthcare professionals, project managers and directors
- Nursing students, medical students and public health students
- Health informaticians and data analysts
- Digital health vendors
- Public health, health science and life science providers
- Clinical leaders
- Healthcare and hospital executives
- Health researchers
- Informatics officers
- Policy advisers
- Application specialists
Complete six required workshops to earn a certificate. Workshops can be taken in any order and digital badges will be awarded for each and a digital certificate will be awarded after completion of the sixth workshop. You cannot register for the entire certificate at the same time. You will need to register for each workshop individually. Adelphi alumni or any student who registers at least 30 days before the start of a workshop will receive a 15% discount.
Overview of Digital Health
Digital health improves access to quality care, reduces inefficiencies and covers medical technologies. This foundational topic will cover innovative technologies, and identify opportunities and challenges in the digital healthcare industry.
Digital Health, Artificial Intelligence, Predictive Analytics and Robotics
Artificial intelligence applications increasingly are used for computer-aided detection, diagnosis and patient monitoring. The subject introduces applications of robotics and identifies recent advancements in predictive analytics.
Digital Health, Data Visualization and Virtual and Augmented Reality
This workshop provides the foundations necessary to understand key data visualization techniques. Students will identify key application areas for virtual and augmented reality, including visualization exercises with COVID-19 data.
Digital Health and Smart Healthcare Platforms
This subject will focus on clinical decision support and smart healthcare services and applications. The content includes a hands-on exercise with a clinical decisions support tool algorithm.
Digital Health and m-Health
This topic covers m-Health in clinical and home settings, remote patient monitoring applications, challenges and future trends, basic computer programming exercises for beginners and hands-on exercises with mobile health applications. Mobile health (m-Health) includes medical services and public health activities enabled by mobile devices. Most uses of mobile health are delivered by either texting or through apps.
Digital Health and Telemedicine
This workshop explores all of the ways patients and doctors can use technology to communicate without being in the same room. It includes phone calls, video chats, emails, and text messages. Various telehealth modalities are discussed along with communicating test results for echocardiograms, electroencephalograms and other laboratory tests as well as monitoring chronic illnesses.
Family Medicine and Telemedicine Specialist
Director of Academic Quality for the Healthcare Informatics Program
Chair, College of Nursing and Public Health Full Faculty Committee
Chair, Faculty Senate Academic Standards Committee
Hasan Sapci, MD, is a tenured assistant professor of healthcare informatics at Adelphi University, New York. After completing his family medicine residency and postgraduate education, Dr. Sapci practiced medicine in academic medical centers and state and research hospitals, and worked as a telemedicine specialist at the University of Michigan Health System. He also served in various administrative positions, including program director of MS in Healthcare Informatics at Northern Kentucky University and Michigan Technological University and chair of the Department of Allied Health at Adelphi University.
Dr. Sapci has extensive experience in applied information technology, connected health and artificial intelligence application in healthcare and has authored and co-authored many scientific articles. He founded a first-of-its-kind Health Informatics Simulation Laboratory and second-generation Smart Home Healthcare and Health Informatics Training Laboratories. Dr. Sapci served as an international remote patient monitoring expert, developed and coordinated educational programs for patients, and conducted telemedicine training sessions for healthcare staff. He designed and implemented innovative clinical informatics applications for several departments at the University of Michigan Health System and received the Fostering Innovation Grant.
Dr. Sapci has developed and taught first-of-its-kind, hands-on informatics skills training competency framework and various health informatics curricula on digital health, smart homes, artificial intelligence, telerobotics, telemedicine, data visualization, clinical decision support and data analytics. He serves on the U.S. Department of Health and Human Services, Health Resources and Services Administration, and the Office of the National Coordinator for Health Information Technology committees.