5 courses with the subject HINF, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
HINF 610Healthcare Information Systems3
Lecture Hours: 3 Lab Hours: 0 The course begins with a brief overview of the US healthcare system then discusses the current use of technology in healthcare. It also discusses the collection and storage of healthcare data, patient records, and various techniques for processing medical images. Students will cover technologies that support healthcare, medical computer networks and systems and data security and protection. Actual medical applications that are used in health care and standards that guide data transactions will be covered. This course is cross-listed with HCM 685.
Lecture Hours: 3 Lab Hours: 0 This course provides a discourse of the applications of decision sciences in health-care industry; decision modeling; cost-effectiveness analysis; DSS use in medical decision making; methods to allocate health-care resources; decision making for health economics and medicine; Monte Carlo simulations; quality-adjusted life years. including decision modeling. Medical decision analyses will be used to describe the fields of application, methodological approaches, results and implications of medical decision analysis. Students will understand the various situations in which quantitative analysis can improve decision making and create competitive advantages SAS Enterprise Miner and Base SAS will be used.
Lecture Hours: 3 Lab Hours: 0 This course presents the details of information processing in hospitals, hospital information systems (HIS), and more broadly health information systems. It presents the architecture, design, and user requirements of information systems in health care environment. It focuses on Information Technology aspects of Health Informatics specifically addressing the design, development, acquisition and deployment of HIS. The second part will equip students with the knowledge of how to address management and operational 235
Lecture Hours: 3 Lab Hours: 0 Data analytics focuses on improving existing operations and supports the enterprise resource planning by streamlining or optimizing business processes. Business analytics help decision makers perform quicker analysis and use the valuable information to make better decisions. This course introduces several commonly used modeling tools to develop and improve students' analytical skills through a variety of realistic situations. The skills learned in this course will help students to recognize a decision situation, understand the business problem, and deal with uncertainty and complex interactions to solve the problem. In order to equip students with these skills, this course is divided into four parts: (I) Descriptive and Predictive Analysis, (II) Prescriptive Analytics with low uncertainty, (III) Prescriptive Analytics with high uncertainty and (IV) Complex Predictive Analytics. Part I will cover forecasting and time series analysis, Part II will cover modeling, optimization, and solvers. Part III will cover decision trees for structuring decision problems under uncertainty, waiting line models, simulation and Part IV will cover multi-criteria decision making, heuristics, and simulation-optimization. Throughout the course, we will use SAS software as a modeling and analysis environment. This course is crosslisted with and equivalent to MGMT 610 and BIDA 650.
Lecture Hours: 3 Lab Hours: 0 This course will examine ethical, legal, and policy issues related to health informatics and the use of IT in healthcare. Analyses of these policies and their effect on clinical informatics, consumer informatics, and population health informatics will be discussed. Students will learn to develop health care solutions and strategies within the limitations of these policies. Topics of interest include the 2009 Health Information Technology for Economic and Clinical Health (HITECH) Act, the Medicare Access and CHIP Reauthorization Act of 2015 (MACRA), and meaningful use. Other regulations and policy efforts, such as HIPAA, Stark, and the CMS, as well as entities that formulate policies at the federal and state levels, such as the ONC and exchanges, will also be covered. 236
