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instructor: mark carroll, m.p.h.
Course description: This course gives an introduction and survey of computer-aided clinical record systems. Topics include data modeling, health system standards and terminologies; Security, privacy and confidentiality; Workflow modeling; Data visualization; legal; and evidence-based practice. The students have a pedagogical use of EPIC in class.
Instructor: Prabhu Shankar, M. D., M.S. />
Course description: This course explores basics of decision-making aids for medical applications. Topics include medical decision-making, uncertainty, review of existing decision-making systems implementation, knowledge technology, data mining and knowledge-based systems.
instructor: Nick Anderson, Ph.D. and Mark Carroll, M.P.H.
Course description: Overview and introduction of the field of health informatics with a focus on clinical and public health positions and applications. Topics include the history of the computer and data use in health and medicine, health and ethics and domain applications in consumer health, interoperability of data, systems and ease of use as well as telemedicine and training.
instructor: Nick Anderson, Ph.D.
Course description: This course introduces students in concepts of knowledge management as well as data, information and knowledge modeling / technology. In addition to conceptual, case, database and ontological modeling, the time that covers traditional relational database concepts of normalization, SQL queries and interface design. The time is also issued in ontology-based argumentation and semantic railways.
instructor: mark carroll, m.p.h.
Course description: Weekly seminar that covers research and valuation methods, core concepts in health informatics and classic and current computer science literary examination. Sessions are concentrated by local, national, national and international computer science leaders and professionals.
instructor: Health informatics Graduate program Faculty
Course description: thesis research in health informatics.
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