MS in Health Informatics & AnalyticsCurriculum

This course introduces students to the concepts of health, the organization and delivery of health services, and the role and impact of health informatics and health systems in health care. The role of policy, financing and quality initiatives are explored in the context of stakeholder analysis. The implementation and impact of the Health Information Technology for Economic and Clinical Health (HITECH) Act are addressed, including health applications, health IT standards, and health-related data structures.

This course introduces the student to the study of legal and ethical principles related to patient care and health information; legal terminology and procedures; court systems; and liability of health care providers. Legal and regulatory requirements governing policies designed to safeguard and maintain health information will be explored. Students will explore legal and ethical issues by applying problems solving and decision-making models to selected case studies.

This course will familiarize students with methods used to assess the quality of care using outcomes data, and to understand and evaluate studies involving health care outcomes. Students are exposed to the mechanics of hospital quality evaluation and challenged to evaluate the medical and health services research literature on health care quality and outcome evaluations. This course exposes the student to several aspects of Health Analytics. We investigate data cleansing and transformation, and supervised and unsupervised data mining techniques to investigate quality of care and health outcome measures.

This course will introduce students to information systems in health care, its use and applications in clinical practice and research. It will explore the fundamentals of Health Information Technology and examine the challenges for information collection, use and application in health systems. It will incorporate a wide range of topics including, but not limited to electronic health records, administrative and clinical applications, information retrieval, decision support systems, privacy, security and data handling, health information exchange, personal health records, and standards.

Overall this course will focus on the essential challenges, concepts, frameworks and methods that healthcare organizations need to deal with in successfully analyzing and redesigning clinical and business processes as a part of healthcare IT adoption and implementation initiatives and projects, particularly in the context of HITECH ACT and Meaningful use. The course focuses on (1) healthcare IT initiative/project scoping based on strategic mapping between business goals, processes and IT resources, (2) managing healthcare IT initiatives as complex organizational change and clinical innovation projects, (3) healthcare process analysis and redesign (as-is and to-be), and (4) evaluation of clinical and business outcome impacts of healthcare IT-enabled process redesign and innovation initiatives/projects. The course presents business and technical perspectives on how to map strategy, process and technology and how to conduct business process as-is and to-be analysis and design.

The general objective of this course is to help the student understand how to conceptualize and model databases, and use query languages to manipulate databases to obtain information that can help a manager make decisions. The course takes a data-oriented view that is embedded in the larger processing view of systems. The course emphasizes data modeling, database query languages such as SQL, physical database design and essentials of a few database administration topics, and is primarily driven by problem-solving exercises and case discussions.

This course serves as an introduction to the process of acquiring technology for managing healthcare settings. Students will learn to apply a technology acquisition process to define business needs, discover requirements, evaluate technology solutions, select vendors, and manage the implementation of a technology solution.

This course examines the defining characteristics of IT projects and introduces a variety of relevant techniques. The course includes project manager functions like managing scope, time, quality, and cost.

After this course, students will be able to understand the critical issues involved in managing IT projects, manage the key areas of an IT project as identified by the Project Management Institute's (PMI) Project Management Body of Knowledge (PMBOK), create a comprehensive IS project statement of work (SOW), track and control IT project execution using earned value analysis techniques, understand the essential elements involved in closing a project, apply the basic concepts and principles of project quality and process management such as the capability maturity model (CMM) framework and assessment, understand the basic concepts of agile project management, and work effectively on a team to plan, control, and complete a project.

This course covers the regulatory, technical and organizational aspects of privacy and security in health care settings. Information security in health care is regulated by a complex of federal and state laws and regulations, by the technical requirements of cybersecurity and by executive management decisions on dealing with risk to information technology and workforce training in security. Introducing students to this important area requires that all three security settings are addressed and integrated to demonstrate how regulatory, technical and organizational factors all impact information security and compliance.

This course addresses various important aspects of healthcare analytics, processes and tools that can be utilized. Data generated via health information technology (HIT) can help organizations gain significantly deeper insight into their performance than previous technologies (or lack of technologies) allowed. Yet, this isn’t easy. Healthcare organizations face the threat of information overload as nearly every step of healthcare becomes computerized and creates data. This includes not just data created from electronic health records (EHR) and patient portals but also medical devices, equipment tracking and scheduling systems, lab systems and many more. This course investigates the many ways to centralize and analyze large amount of data in order to harness the immense power of this information for better decision making.

This course is designed to provide students with an introduction to contemporary theories of organizational behavior (OB) in order to develop knowledge and understanding of the action and interaction of individuals and groups in organizations. Students will identify and strengthen skills in managing self and others through a variety of self-assessments and exercises. The course is intended to enable the student to evaluate the applicability and limitations of management styles and practices concerned with individuals (e.g., personality, motivation, values), groups (e.g., group decision-making, communication, team-building) and organizations (e.g., structure, culture, and change). With the goal of enhanced understanding of issues faced in modern organizations, the student should gain a perspective of management interventions designed to improve individual and organizational competence.

Upon successful completion of this course, students will be able to use a variety of statistical principles and methods, including qualitative and quantitative techniques, to evaluate healthcare-oriented research problems and to make evidence-based decisions. They will understand how to identify a process, define key performance measures, collect data, organize it using Microsoft Excel, analyze it using Excel’s statistical functions, and present their findings using appropriate graphs and charts. They will apply these skills to various healthcare-related research and practice-oriented situations and use the right tool at the right time to make data-driven decisions.

Seminars will focus on building soft skills such as leadership, team building, oral presentation, writing skills and career exploration.

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