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Course Criteria
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3.00 Credits
Credits: 3 Explores emerging structures for financing and delivery of comprehensive health services in integrated health systems. Covers successful development and management of alliances, provider hospital organizations, and managed care systems with emphasis on strategies for vertical integration, community partnering, contract negotiation, governance, and management of antitrust situations. 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 Introduces design and use of health and medical databases, providing hands-on experience. Explores uses of medical record systems. Includes review and analysis of databases and database management systems. Examines application of databases to clinical and managerial transaction. 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 Introduction and practical application of advanced statistical analyses and their use/application in health services (research, management, policy analysis) using various software applications (STATA, Microsoft Excel and Access, SAS, SPSS, MINITAB). Topics include analysis of variance (one and two way) and design of experiments, multiple regression, model building, chi-square and the analysis of contingency tables, and nonparametric statistics. Prerequisites HAP 501 or equivalent introductory graduate statistics course and lab. Hours of Lecture or Seminar per week 2 Hours of Lab or Studio per week 1
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3.00 Credits
Credits: 3 Focuses on the operating system, network of computers, and noncomputing hardware. Students learn to connect imaging and other equipment to electronic health records and provide electronic services online. Includes configuration of laboratory and imaging systems to VISTA electronic health record. 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 Seeks to explore selected ethical issues in health administration and policy and decision options by understanding ethical theories, concepts, and principles and their role and selective application in the development, organization, and administration of health policy, as well as the organization and delivery of health services. Students will learn specific ethical concepts, theories, and principles, how these inform existing health policies and practices, and how ethical reasoning can operate in the policy process and administrative decisions in the health delivery 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 Emphasizes understanding of economic efficiency in the U.S. health system. Microeconomic methods examine markets and resources in health care. Health care examined as commodity. Explores demand for health and medical care services, provider behavior, and function and behavior of insurance markets. Topics include government role, financing arrangements, insurance reform, rationing, price regulation, and provider competition. 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 Students learn to manipulate large databases, create link table queries, write SQL application programs, understand sources of data conflicts, and identify methods of integrating ODBC databases with legacy data. Covers data warehousing, methods of analyzing large databases, including Bayesian belief networks and machine learning in health care context. Features semester long data integration group project. 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 Methods of evaluating health and social programs, including anthropological case studies, decision analytic and quasi-experimental approaches. Emphasis is placed on using methods of continuous quality improvement and benchmarking exchanges in evaluating multisite programs. Assess cost effectiveness of programs (including assessment of patient census, employee activities and program outcomes). Evaluation of health care interventions, rate setting, and managed care are 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 Students analyze practice patterns and find optimal methods of improving them. Uses decision analysis and failure mode analysis in health care settings. Students integrate scientific evidence, patients' preferences, and experts' opinions to identify optimal alternatives.Prerequisites HSCI 501 or any statistics course. 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 Students build and interpret causal model of risks and test the accuracy of them against extant incidence reports using risk analysis models, risk analysis life cycle, as well as methods of evaluating the validity and reliability of risk analysis. Bayesian probability models, probabilistic risk analysis, root-cause analysis, and failure model analysis are covered. Includes applications to terrorism, unauthorized disclosures, and patient safety. Prerequisites HAP 730 or equivalent approved by instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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