Assistant Professor
Rutgers, The State University of New Jersey
Newark, New Jersey, United States
Dr. Suzan Ahmad is nurse, health informatics expert, and nurse leader for the last 30 years serving as an Assistant Professor at Rutgers University. Her national and international health and nursing informatics experience brings global real-life nursing informatics practices for education, service and research. During her informatics career, she managed many successful Electronic Medical Records (EMR) implementations around the world in operational and greenfield sites, especially in the Persian Gulf region and USA.
Dr. Ahmad served various international informatics roles in academia, project implementation, and consultation. Her scholarship work focused on implementing Clinical Information system parts such as Clinical Decision Support and alerts in electronic health records and subsequent training post implementation. Also, worked on using simulations to predict other uses of electronic systems. Furthermore, studying the usability of utilizing Artificial Intelligence in various aspects in nursing practice and administration such as evaluating hospitals towards magnet accreditation and predicting magnet attributes through machine learning models. Finally, empower the use of mobile technology to improve diabetic patients’ health outcomes and compliance to medical regimen.
In addition to Doctor of Philosophy degree in Nursing Informatics earned from University of Arizona, Dr. Ahmad holds master’s degree from Texas Tech University Health Sciences Center in Primary Healthcare, and bachelor’s degree in Nursing Science from Jordan University of Science and Technology. She served in many international committees that varies from academic committees to administrative and strategic committees. Dr. Ahmad received several awards such as Excellence Award from Princess Mona of Jordan, Research Award from UAE, and Health Informatics Strategic Plan Recognition from UAE Health Minister.
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Applied Methods for Health Equity and End-of-Life Outcomes Research Using Medicare Data
Saturday, November 11, 2023
8:00 AM – 9:30 AM ET
3 - Harmonization of Chronic Conditions Warehouse Data for Outcomes Research on Geriatric Syndromes
Saturday, November 11, 2023
8:00 AM – 9:30 AM ET