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Course Criteria
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3.00 Credits
Credits: 3 Introduces health and medical information systems with emphasis on systems analysis and design to support managerial and clinical communications and decision making. Explores trends and innovations in information technology and systems, focusing on managerial oversight of health and medical information systems. Explores contemporary management strategies for information systems personnel. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Focuses on health security and privacy policy and compliance issues. Students will develop policies for the type of threats faced by facilities. The legal and business policies for facility, personnel, travel, information, and patient security will be discussed. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Identifies and assesses critical leadership skills in many areas of health policy making necessary for health care professionals. Teaches individuals how to link health issues with policy development and pursue appropriate strategies. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Covers philosophical and statistical problems with analysis of causes as separate and distinct from associations. Topics discussed include structural modeling, self selection, risk adjustment, propensity scoring, and Bayesian networks. Students examine real health care databases and the pitfalls of causal inferences. Special attention is made to investigation of causes of outbreaks and illness. Prerequisites A prior graduate-level course in statistics covering analysis of variance: HAP 501, GCH 601, GCH 804, or an equivalent course (approved by the instructor). Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 An introductory course on the theory and philosophy of science and humanism that relate to the design and conduct of health services research. The course examines selected theories on the nature of reality (ontology), the justification of knowledge claims (epistemology), and how knowledge is constructed (methodology) in design and analysis of health services research. Prerequisites Admission to a doctoral program or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 A survey course in health services research methods for the application of economic evaluation techniques used in health care policy analysis and clinical or administrative applications for health care service planning and evaluation. Introduces methods applied to health care technology assessment, medical decision making, health resource allocation, and policy-making. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Examines the rationale for government intervention in provider payment and explores the current policy issues and politics of major government provider payment systems, including Medicare and Medicaid, and examines options for managing these programs more effectively. The course will "follow the money" as it flows through government and provider payment systems, model potential changes in such systems, and identify policies for improving the operation of these programs and payment systems.Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Explores conceptual, analytic, and technical methods/approaches used in health policy analysis and planning. Students will learn to select from among alternative methods for applied concept modeling, graphical data presentation, needs assessment, goal clarification, group decision methods, and a variety of quantitative applications and frameworks for evaluating policy impact. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Analyzes selected public policies and regulations and the impact of implementation and compliance/noncompliance on health care systems and organizations. Examines management responsibilities, challenges, and dilemmas (fiduciary and ethical) of implementing selected policies and regulations (promulgated or proposed). Prerequisites HAP 703 or equivalent, or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 An introductory course to data mining and knowledge discovery in health care. Methods for mining health care databases and synthesizing task-oriented knowledge from computer data and prior knowledge are emphasized. Topics include fundamental concepts of datamining, data preprocessing, classification and prediction (decision trees, attributional rules, Bayesian networks), constructive induction, cluster and association analysis, knowledge representation and visualization, and an overview of practical tools for discovering knowledge from medical data. These topics are illustrated by examples of practical applications in health care. Prerequisites HAP 501 or equivalent introductory graduate statistics course and lab, or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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