Healthcare Data Analytics Curriculum

An introduction to the basics of human resource management. The student will analyze the functions of human resource planning, employment planning, equal employment opportunity, workplace diversity, recruitment, selection, appraisal, development, compensation, employee relations, and labor relations within the context of organizational objectives and the legal environment.

Internships and practicums are opportunities for students to apply concepts learned in accounting and business courses by working in a field of interest related to the students’ programs of study. Student internships and practicums must meet departmental and university requirements. Students must meet with the course instructor to discuss and to obtain approval for the internship or practicum placement. Open to students who have completed at least 60 academic credits. Students may
register for between 1-3 credits.

This course introduces the health information management profession, the role of health informatics, and the role of technology in today’s healthcare environment. Students will learn about the structure of the U.S. Healthcare system, key legal and ethical issues in health informatics and information management, cultural competence and diversity and forces impacting the state of the U.S. healthcare system.

This course provides students with a working knowledge of medical terminology by exploring the root words, suffixes, and prefixes of the vocabulary used in healthcare settings. Students review the nervous, skeletal, cardiovascular, muscle, and other major systems of the human body, and they discuss terms related to physiology, anatomy, and pathological conditions.

This course reviews the many issues and challenges related to the current EHR landscape. Content includes current and planned activities an evidence based in quality, information technology design, and development opportunities, clinical terminologies, EHR and analytics platforms and security concerns. There is also a focus on the use of information assets and best practices related to data analytics as it relates to health services and health and wellness.

This is the first of two courses that focus on clinical terminologies, standards, and documentation as it relates to both clinical care and administrative viability of the health system. This course introduces students to clinical classification systems, standard terminologies and standards for health documentation compliance. Students are also introduced to health data analytics and the use of viable data sets.

This is the second of two courses that focus on clinical terminologies, standards, and documentation as it relates to both clinical care and administrative viability of the health system. This course focuses on the clinical, financial, and population health/research implications of medical coding as well as the policy and leadership implications of clinical documentation improvement initiatives.

This course explore laws, regulations, and policies that govern the management of electronic health record platforms and data. Principles such as security, privacy, and confidentiality are discussed in the context of the increasingly wide use of electronic records in health economy. Education of stakeholders and ethical implications of handling health information are reviewed.

This course is a strategic overview of how informatics systems and data are utilized in healthcare and health services. Topics such as information governance, information access, and how organizations secure data are addressed. Leadership topics such as how organizations leverage informatics solutions to improve outcomes are also discussed.

This course introduces learners to the practice of business intelligence and data analytics as they relate to health and health services. The course focuses on the concepts related to business intelligence applications in informatics as well as tools and technologies used to perform did visualization and data analysis. The course also addresses leadership level topics related to health exchange and the technical management of data assets.

This course reviews the health information management quantitative concepts related to calculations that are commonly used in hospital, physician, and community settings. Statistical concepts related to both descriptive and inferential statistics are also addressed. Learners also work with detailed health information analytics concepts sch as data dictionary development and the relationship between data management and determinants of health quality including financial and clinical aspects of health outcomes.

This course will review fundamental issues surrounding information management in the ever-changing health care environment, and the regulatory requirements guiding decision makers. The concepts relative to health care informatics and information systems – as well as their application to support clinical and administrative decision-making – will be examined.

This course facilitates the students’ understanding and use of health information, along with leadership strategies, in the management of hospital systems. Change management, focusing on outcomes and project goals/deliverables, is a focus of the course. Health industry case studies will be used to highlight issues, as well as explain lessons learned.

This course focusses on the application of data management, measurement, and statistical analysis principles to address patient safety and quality improvements. Principles and use of software assurance tools, code analysis, as well as using secure web services will be reviewed.

This course reviews the necessary project management skills needed to lead health information and data analytics efforts. Students will learn how to create productive and effective management teams in the health care environment, while paying special attention to data security, patient safety, and outcomes.

As an ever-changing field of study, clinical research and population health relies on evidence based data to improve patient outcomes. This course will review current topics in health care related to clinical research and population health to present the student with a broad overview of current activities and issues in the field of study.

A first course in information systems that introduces students to the fundamental concepts related to the use of IT in organizations from a managerial perspective. Students will learn to recognize the strategic value of IT and will become familiar with the different ways in which IT is used in organizations (e.g. enterprise systems, business intelligence). Students will also learn IT skills to improve their personal productivity. The course has been designed to also include hands-on activities, mainly in the areas of databases, Web design, and e-commerce. Students will prepare a business case to propose and justify an IT initiative in a real organization. This course has been designed as a stand-alone portal course in IT for majors in all disciplines.

A study of the ideas and tools of practical statistics using data in context. Methods and strategies for exploring data graphically and quantitatively are examined, as well as statistical reasoning and the tools of inference that go beyond the data to draw conclusions about a wider population, with attention paid to the uncertainty of these conclusions. Students will conduct standard one and two sample statistical analyses.

Prerequisite: SKQ 101 and demonstrated readiness for mathematics by placement or completion of MAT 100.

This course provides an introduction to the basic principles, terms and concepts of epidemiology. Concepts of risk, risk assessment models, disease distribution in populations, and causality are explored. Measures of disease states and risks (e.g., mortality, morbidity, attributable risk, and relative risk ratio) are presented. Applications of epidemiological data are explored in relation to health promotion and disease prevention. The students will gain an understanding of the interaction of personal, biological, behavioral, genetic, and environmental factors in the development of disease. Concepts include both a description and application of epidemiology

Research with human subjects or participants is vastly different from research dealing with plants, animals, or other places of matter. This is because there are additional ethical issues that must be taken into account. The goal of clinical research is to improve health by identifying, developing, and making available interventions that prevent, improve, or cure maladies. This course addresses the ethical dimensions of clinical research eth-ics by exploring dominant ethical frameworks and applying them to timely and critical issues in clinical research.

An analysis of the role of business in society. Topics include the role of business within the community, the relationship of business with government, and the regulatory environment. The issues studied will involve both market and non-market decisions that have social, political, and ethical ramifications. Also, the effect of values and cultural norms on managerial decision-making and how this relates to managers facing a global environment and diverse workforce will be analyzed.

Prerequisite: BSM 103. Fulfills ESR compass requirement

Study of the perplexing ethical problems of life science, biomedical research, and healthcare policy and how these topics relate to central philosophic issues within the field of ethics. The course is very interactive, using film, guest speakers, lectures, and classroom discussions on central issues of biomedical ethics of our time. These issues will be related to traditional philosophic positions and problems.

The course examines how persons use interpersonal communication to create and maintain relationships and/or cause them to deteriorate. Some issues include: the creation and negotiation of meaning; role of commu-nication in the development and maintenance of self-identity; nature and impact of verbal and nonverbal mes-sages; and interpersonal perception processes and er-rors. It considers social diversity and the impact of cul-tural differences on communication and relationships.

An overview of database management theory and practice. Students will learn the fundamentals of database application development and how database technologies can be used for competitive advantage in organizations. Topics to be covered will include database theory, normalization, entity relationships, and SQL queries. MS Access will be used for in-class demonstrations and projects.

An overview of information security topics from a managerial perspective. Topics include hacker techniques, legal issues of information security including Pennsylvania’s data breach security act, typical corporate security and privacy policies, firewalls, virtual private networks, encryption, identity theft, intrusion protection, desktop protection, windows security, e-commerce, and wireless security. The concepts within this course are beneficial to all students who intend to work with technology or manage technology within an organization.