This course will develop the foundations of quality and process improvement that lead to higher levels of efficacy, efficiency and effectiveness in health organizations and programs. This course will explore the basis of Quality Improvement (QI) consisting of systematic and continuous actions that lead to measurable improvement in health care services and the health status of targeted patient groups. The methodology of the course will begin with “how things are done now,” considering health care performance as defined by an organization's efficiency and outcome of care, and level of patient satisfaction. Quality is directly linked to an organization's service delivery approach or underlying systems of care throughout the continuum of care. The student will understand that to achieve a different level of performance (i.e., results) and improve quality and efficacy, an organization's current system needs to change. Lastly, this course will focus on a successful QI culture that incorporates the following four key principles: QI work as systems and processes; Focus on patients and community groups, especially rural areas; Focus on being part of the team, and Focus on use of the data and analyses of information.
Credit Hours: 3 Semester: Fall
This course examines the structure and functioning of the finance components of the public health system. Public health organizations will be discussed within the context of the financial environment that includes financial management, managerial accounting, revenue cycle management and funding and financial management of grants/contracts. The course also examines key financial tools and analyses for financially related decision making within the principles of strategic management applied to public health organizations amid a dynamic changing environment.
Credit Hours: 3 Class Meets: Tues., 6-9 p.m. Semester: Spring 2021
Format: Fully Online (First week face-to-face or synchronous online; Second week asynchronous online. May require two face-to-face class sessions. Thursday delivery in Richardson from 5:30 - 8:30 p.m. This class alternates with HPEM 6320.
Healthcare professionals benefit from having the knowledge and skills necessary to make informed decisions regarding health services. This course is intended to introduce the foundation of knowledge and skills students need to understand the conceptual and methodological issues of health research methods. Topics include but are not limited to: study conceptualization; research question and hypothesis formation; fundamentals of sampling, observation and measurement; research design and operationalization; secondary data analysis widely used in empirical health services research; interpreting research literature; and the capacity to translate knowledge into action.
Class Meets: Tues., 6 - 9 p.m.
Format: Fully online with first week asynchronous online; second week face-to-face or synchronous online. May require two face-to-face class sessions. Thursday delivery in Richardson 5:30 - 8:30 p.m. This class alternates with HPEM 6310.
- Teacher: Jessica Escareno
Class Meets: Wed., 6 - 9 p.m.
Format: Fully online with first week face-to-face or synchronous online; second week asynchronous online. May require two face-to-face class sessions. This class alternates with PBHL 5330.
- Teacher: Kimberly Elliott
Given the integration of data, community needs and regulation and policy, this course incorporates the elements of healthcare, public health, health information technology and the health insurance sub-industries to develop a framework and analytic methods to improve efficiency, effectiveness and efficacy of the health industry as a whole.
The course will establish an analytic framework, based on data from patients, populations, processes and profitability (4 P's of Health Analytics) utilizing industry, healthcare enterprise and community health data with appropriate tools, methods and approaches to answer community health needs and status, operational, financial and healthcare delivery outcomes questions to support leadership decisions. The course will also include an integrated platform of appropriate analytical and predictive/estimation methods, tools and techniques for enhanced decision making at the strategic and operational levels of the health enterprise for enhanced health status and improved health outcomes of communities served.
Credit Hours: 3 Class Meets: Tues, 5:30 - 8:30 p.m. Semester: Summer
This course examines operational issues in healthcare management. Topics include systems analysis, continuous quality improvement and re-engineering, demand forecasting, facility location and design models, decision analysis techniques, linear programming, queuing and waiting models, inventory control models and statistical quality control. The goal is to instill an understanding of the language applications and limitations of quantitative models regarding decision-making and problem-solving in healthcare organizations.
Class Day: Monday, 6 - 9 p.m. Format: Fully Online (First Week Face to Face or Synchronous Online; Second Week Asynchronous Online) May require two Face to Face class sessions.