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IE 2184 - STOCHASTIC MODELING AND DATA ANALYTICS IN HEALTHCARE OPERATIONS MANAGEMENTMinimum Credits: 3 Maximum Credits: 3 The purpose of this course is to introduce stochastic modeling methods and data analytics tools for analysis, design, and decision support for healthcare delivery systems. The aim is to expose students to various application areas related to hospital workflow and operations management in healthcare systems. Emphasis is placed on rigorous model formulation to solve system performance evaluation and decision-making questions in healthcare delivery systems. The application of Markov process, systems modeling, simulation, and data analytics methods are discussed through papers and case studies in different care settings and areas (e.g., hospital workflow, patient safety, clinical diagnosis and decision process, prediction and intervention). Academic Career: Graduate Course Component: Lecture Grade Component: Grad Letter Grade Course Requirements: PREQ: (IE 1070 and IE 1071 or IE 2005) and (IE 1081 or IE 2001)
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