Fall 2023 Course Offerings
| HOPR 801 |
Research in Health Outcomes and Policy Research |
Shelley Irene White-Means |
| Time:Place:Duration:
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Credit:3 |
| This course emphasizes the development and conduct of health science administration research. The course is required in conjunction with or prior to
thesis/dissertation work. The goal is to assist students in acquiring a breadth of knowledge of theory, concepts, principles, processes, and skills necessary
for the health science research endeavor. Students will use and build upon knowledge gained in prerequisite courses as they learn to carry out each step of
the research process. The course will be taught in small group discussions using information available in the literature and research-based
analysis. (didactic, lecture)
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| HOPR 804 |
Mentored Quality Improvement Project |
Jim Bailey |
| Time:10-11 AMPlace:onlineDuration:15 |
Credit:1 |
| This is a supervised Quality Improvement Project in a health care setting. The students will rotate through all major areas of Quality Improvement (to which they have been introduced in class) and will observe and practice the activities and procedures in each area. This experience and many of the activities are merely enabling activities to move the students toward mastery of the relevant domains, competencies and knowledge clusters. (hybrid, lecture)
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| HOPR 829 |
Data Analysis Methods in Health Outcomes and Policy Research |
Junling Wang |
| Time:Place:Duration:
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Credit:3 |
| This course will help students lay a solid foundation in their understanding of basic data analysis methods, develop basic quantitative analytical
skills, understand the application of basic data analysis methods, and develop a healthy skepticism toward the use of statistical techniques in research
studies. (didactic, lecture)
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| HOPR 840-001 |
Special Topics - Pharmacoeconomics |
Shelley White-Means |
| Time:Place:Duration:
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Credit:variable |
| Directed readings or special course in topics of current interest. (didactic, research)
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| HOPR 853 |
Telemedicine and e-Health |
Sajeesh Kumar Kamala Raghavan |
| Time:Place:Duration:
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Credit:3 |
| This course will provide the students with opportunities to discuss and analyze the key issues, principles and approaches, in telemedicine. The
course will have three sections. Emphasis on the first section of the course will be on theoretical, clinical, technical and pragmatic issues. The second
section will address issues related to telemedicine such as design and development, standards, privacy and security issues, evaluation of telemedicine
services and legal issues. Specific healthcare outcomes and the influence that they have on policy formulation will be examined and analyzed. The third
section - a major focus of this course, will be practical application of telemedicine through the case study analyses. The strategies and skills healthcare
professionals will need to practice and manage telemedicine effectively will be detailed. Strategic initiatives of various offices will be presented and
discussed. This is an online course. This course is open to graduate students and has no
prerequisites. (online, lecture)
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| HOPR 860 |
Applied Health Informatics |
Rebecca B Reynolds |
| Time:Place:Duration:
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Credit:3 |
| This course will provide students with knowledge of current practice in the use of information technology and systems in clinical practice. The
course will explore how health data are collected, the role of electronic health records, clinical documentation improvement, systems implementation issues
and adoption of health information technology. This course is offered primarily in a distance education format via course management software. The course
material will be presented in outline format and supplemented by student reading, student on-line discussions as well as required projects. The instructor
will provide guidance to the student but the student is expected to assume responsibility for engaging the material and working at the graduate
level. (online, lecture)
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| HOPR 861 |
Health Data Processing and Management |
Charisse Madlock-Brown, PhD |
| Time:Place:Duration:
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Credit:3 |
| Students will learn how to work with data structures in python to load, manage, and analyze healthcare data. The three assignments will ask students
to perform a set of data analysis tasks including: data cleaning, organizing, indexing, aggregating, plotting, generating descriptive statistics, performing
linear algebra operations, and natural language processing. Assignments will be graded based on how well they solve the problems assigned (worth 65%), how
?clean? their code is (worth 25%), and how well they document their work (worth 10%). Clean code is defined by readability, brevity, efficiency, and adherence
to object oriented principles. Students will choose a dataset to work with for their final project. They will design a project in which they will load, clean,
and analyze the dataset they selected. They will be expected to justify their choices, explain the utility of those choices, and present their results in a
PowerPoint presentation. (online, lecture)
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| HOPR 900 |
Doctoral Dissertation and Research |
Junling Wang |
| Time:Place:Duration:
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Credit:variable |
| Research performed under the direction and supervision of the respective student's Research Advisor in partial fulfillment of the requirements for
the degree of Doctor of Philosophy. Fall and Spring Semesters. (didactic, lecture)
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| HOPR 919 |
Seminar |
Simonne Nouer |
| Time:Place:Duration:
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Credit:1 |
| Topics of current interest in the field are selected and reviewed by the students for their peers and faculty. Presentations followed by general
informal discussion. In certain circumstances, reports of current research may be made by students and faculty. (didactic, research)
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Spring 2024 Course Offerings
| HOPR 803 |
Improving Patient Flow through Quality Improvement |
Leonard Harris |
| Time: Place: Duration: |
Credit: 2 |
| This course will provide the students with opportunities to discuss and analyze the key issues, principles and approaches to improving patient flow in a variety of healthcare settings. Case studies and discussions will illustrate why improving patient flow is important for improving patient safety, how to identify opportunities for improvement, and what strategies have been successful at improving healthcare quality. (hybrid, seminar)
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| HOPR 816 |
Applied Pharmacoeconomics I |
Junling Wang |
| Time: Place: Duration: |
Credit: 2 |
| This is the second in a two-course sequence and must be taken in sequence. These two coupled courses are an advanced study in economic principles and
outcomes measures as applied to pharmacy and health care. The objective is to expand the student's appreciation of the nature of applied economic evaluation
and its relevance to health care decision-making and policy formulation through didactic lectures and case study analysis. Emphasis will be on the application
of methodological principles of economic evaluation and appraisal of current concepts and research in pharmacoeconomics. The student will participate in the
development, implementation, and evaluation of a group pharmacoeconomic project, which focuses on the evaluation of a defined economic problem in health
care. (didactic, lecture)
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| HOPR 830 |
Health System Seminar |
Jim Bailey |
| Time: N/A Place: N/A Duration: N/A |
Credit: 3 |
| Health Policy 101 -Diagnosing the Ills of the Healthcare System. This seminar is designed to provide learners with a highly interactive and
participatory learning experience in which participants read and discuss classic and highly influential articles in health services research, health policy,
and health system science. Participants will be responsible for reading assigned articles thoroughly and presenting and discussing assigned articles.
Participants will also discuss case studies relevant to assigned topics. These assignments will guide them on a sector by sector investigation and
evaluation of the health care industry to discover where to find and how to foster high-value health care.
The seminar will emphasize critical appraisal of the literature using original sources, communication, and consideration of alternative points of
view with an emphasis on clear presentation of evidence for each point of view, and analysis of root causes for health system dysfunction and policy solutions. (online, lecture)
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| HOPR 840-001 |
Special Topics - Pharmacoeconomics |
Justin Gatwood |
| Time: Place: Duration: |
Credit: variable |
| Directed readings or special course in topics of current interest. (didactic, research)
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| HOPR 900 |
Doctoral Dissertation and Research |
Sajeesh Kumar |
| Time: Place: Duration: |
Credit: variable |
| Research performed under the direction and supervision of the respective student's Research Advisor in partial fulfillment of the requirements for
the degree of Doctor of Philosophy. Fall and Spring Semesters. (didactic, lecture)
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| HOPR 919 |
Seminar |
Simonne Nouer |
| Time: Place: Duration: |
Credit: 1 |
| Topics of current interest in the field are selected and reviewed by the students for their peers and faculty. Presentations followed by general
informal discussion. In certain circumstances, reports of current research may be made by students and faculty. (didactic, research)
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| HOPR 920 |
Health Data Analytics |
Charisse Madlock-Brown, PhD |
| Time: Place: Duration: |
Credit: 3 |
| Healthcare organizations generate large amounts of data concerning patients, procedures, cost, staff, and supplies. Generating insights from these
data using visualizations, data mining and natural language processing has the potential to improve patient care. Students will study current research
problems, and gain experience through several projects. Students will learn how to assess results based on healthcare objectives for a variety of domains such
as public health, policy, and clinical care. Students will work with a diverse set of datasets, and learn to define a process for analysis, justify choices,
and interpret results based on healthcare needs. This course is offered exclusively in a distance education format via course management software. The course
material will be presented in outline format and supplemented by student reading, student on-line discussions as well as required projects. The instructor
will provide guidance to the student but the student is expected to assume responsibility for engaging the material and working at the graduate
level. (online, lecture research)
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