Health Data Management, Department of Marketing, Management, and Health Care Administration - Adjunct Faculty
University of Maryland Global CampusAbout the role
Adjunct Faculty
Health Data Management
Department of Marketing, Management, and Health Care Administration
UMGC Stateside
Location: Stateside Remote
University of Maryland Global Campus (UMGC) seeks adjunct faculty to teach in the Health Care Administration program remotely. Specifically, we are seeking faculty for the following course(s):
Managerial Epidemiology and Decision Making in Healthcare (HMGT 307):
An overview of epidemiologic principles and tools applicable to decision making in healthcare. The objective is to apply the basic principles of descriptive epidemiology to healthcare planning, directing, controlling, organizing, staffing, and financial management; critically evaluate the factors that influence the health status of populations served; and distinguish among study designs in terms of causal inference and sources of bias. Focus is on applying epidemiological and decision-making tools to integrative decision making in healthcare.
Research and Data Analysis in Healthcare (HMGT 400):
An introduction to research methods and the process of data identification and analysis in the healthcare field. The objective is to inform healthcare decision making and formulate research hypotheses. Emphasis is on the analytic process, especially in the presentation and interpretation of results. Topics include the use of healthcare databases, the analysis of problems and issues, and evaluation of research in healthcare settings.
Healthcare Databases and Medical Technology Integration (HIMS 645):
An introduction to various forms of healthcare data and data collection techniques, as well as different types of databases and development methods for using databases in small to medium-size healthcare facilities. The objective is to develop flat file and relational databases using Microsoft Access and Microsoft Excel, demonstrate familiarity with SQL (Structured Query Language), Python language, and RStudio program; and design queries applicable for the decision-making process. Topics include principles of integrating medical and biomedical engineering equipment within healthcare facilities for automatic and secure data collection
Health Informatics and Data Analytics (HIMS 650):
The application of basic statistics and research methods in health information management. Focus is on the analysis of clinical and administrative data to assist in healthcare decision making, planning, policy development, and state and national level reporting. Topics include compilation and analysis of healthcare data; identification of data sources, data collection methods, analytical and visualization techniques; data mining; clinical and biomedical research and its implications for healthcare quality.
Health Data Management (HIMS 665):
A foundational overview of health informatics/information management as a profession and as a subset of the healthcare delivery system. Health informatics/information principles and practices are explored as they relate to the application, analysis, management, and architecture of health data. Topics include data mapping, data structures, clinical terminology, and classification systems. Discussion also covers ICD-10, health record content, documentation standards, data management policies and procedures, meaningful use, data sources, and information governance.
The Application of Information Technology in Healthcare Administration (HIMS 661):
An overview of historical, current, and emerging health information systems and technologies. Focus is on applying a system life-cycle process to the adoption of an electronic health record system. Discussion covers various ways that information technology can aid in operations management and the strategic decision-making process. Topics include project management, clinical and decision support systems, report generation, data analytics, workflow processes, health information exchange, enterprise information management, training and development, data quality, user interfaces, data capturing technologies, personal health records, population health, data safeguards, business intelligence, and artificial intelligence.
Health Information Management and Technology Capstone (HIMS 690):
A study of health information management and technology that focuses on the application of skills acquired through previous coursework. The aim is to examine effective and efficient management of healthcare organizations, health information usage compliance, and health information technology. Topics include the U.S. healthcare delivery systems, health information management, health technology, privacy and security of data collection and utilization, and project management. Activities include particip
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