HSM 4675
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Credits2
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Delivery MethodFully online
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Related Program
About This Course
This course introduces students to the transformative power of analytics, big data and artificial intelligence (AI) in healthcare management. Designed for nontechnical majors, this course explores how these cutting-edge technologies are revolutionizing healthcare delivery to improve patient outcomes and drive efficiency in healthcare management and clinical operations. Students will engage with real-world case studies, interactive simulations and practical exercises to understand the application of data-driven decision-making in healthcare settings.
Instructor
MSc., biomedical sciences with a concentration in neuroscience, Albert Einstein College of Medicine; BS, neuroscience, Wright State University
Darnell K. Adrian Williams Jr. is an MD-PhD candidate in the Medical Scientist Training Program at Albert Einstein College of Medicine. His doctoral research uses EEG and computational methods to examine how prior expectations shape the timing and neural dynamics of visual perception in autism. His broader work spans clinical AI, multimodal physiological data, digital health and AI-assisted decision support, with research experience at Harvard Medical School, Weill Cornell Medicine, Regeneron Pharmaceuticals and Albert Einstein College of Medicine. Adrian is also the founder and principal of Afferent Health, an independent scientific and clinical research-and-development intelligence firm focused on translating complex clinical data and emerging AI/ML into evidence-backed healthcare research and decision-support strategies. He has taught at Iona University and the University of Minnesota, bringing an interdisciplinary perspective that connects technology, healthcare, ethics and real-world implementation.
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