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MUSC Bulletin | College of Health Professions

Master of Science in Health Informatics | Course Descriptions

HIN-700. Database Management. This course focuses on the fundamentals of database design, data organization and utilization. Topics include database types, data warehouses, data marts, integration and interoperability of heterogeneous data sources, data manipulation and processing, application programming interfaces and health care data architectures. Other topics include data types, data standards, information classification, open EHRs, Fast health care Interoperability Resources (FHIR), and analytics applications architectures. 3 s.h.

HIN-701. Health Informatics foundations and Management. This course provides the student with a fundamental understanding of the foundations of health informatics including in terms of its context within the modern health care system and also an understanding of the competencies in relation to health informatics project management. Topics covered include the role of health informatics and analytics in relation to the Affordable Care Act, accountable care organizations, value-based care and population health; meaningful use and other aspects of the health care system. The course will also introduce the student to management concepts and project management specifically within the context of health informatics and health information technology projects. 3 s. h.

HIN-702. Introduction to Health Care Information Systems (IHCIS). This course provides students with an overview of various clinical and administrative information systems and critical functions used in health care. Key topics include electronic health records, computerized provider order entry, decision support, eprescribing, telemedicine/telehealth, and revenue cycle. Students explore the history, adoption and use of various types of health care information systems and gain insight into the process of selecting and implementation of health IT systems. Reporting requirements and senior level management issues related to the adoption, use and management of health care information systems are also discussed. 3 s.h.

HIN-704. Health Care Data—Content, Standards and Knowledge Discovery. This course provides an overview of various types of health care data, different strategies for representing data, information and knowledge including terminologies and ontologies, database concepts (data modeling, relational databases, and structured query language), clinical data warehouses and data mining. Students explore the differences between transactional systems and analytical systems. 3 s.h.

HIN-706. Systems Analysis and Design. This course provides the student with a fundamental understanding of the systems life cycle, and key processes involved in the analysis, design, implementation, evaluation and ongoing maintenance and support of health care information systems. Students participate in a hypothetical system selection and implementation process and gain experience in defining system requirements, evaluating vendor products, negotiating contracts and project management. Students also gain experience in mapping clinical workflow and process improvement, and in optimizing the use of health IT to facilitate patient care and improve efficiency. Additionally, students will study different methods for assessing the value of health IT investments. 3 s.h.

HIN-708. Applied Statistical and Research Methods. This course provides a working knowledge of approaches to the analysis of archival data for research and quality improvement purposes. Students gain practice in reading, understanding, and presenting statistical materials. Topics include data set and variable descriptions; issues of ascertainment bias associated with retrospective data; criteria for the selection of descriptive statistics; visual presentation of parameters; formulation of hypotheses appropriate for the data; multivariable analysis for continuous dependent variables; log transformation and gamma distribution models; logistic regression; Kaplan Meier curves; controls for selection bias; use of factor and cluster analysis for data reduction. Statistical software package required. Students are also introduced to research methods and how to critically evaluate the literature. 3 s.h.

HIN-710. Data Mining and Analytics. With the continued influx of computers into every aspect of the health care environment, huge amounts of data are being generated and stored. To translate the vast amount of data into information and knowledge, health care provider organizations need to be able to extract information knowledge and patterns from data to remain competitive in the market and promote advances in health care (e.g. comparative effectives). Students will gain an understanding of the principles of data mining and machine learning and will gain hands-on experience in implementing data mining projects. This course will cover techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, machine learning algorithms and open-ended knowledge discovery. Class assignments and projects will use real-world data sets and tools to apply the data analytical skills being learned. Prerequisite courses: HIN-700, HIN-708, HIN-704. 3 s.h.

HIN-712. Applied Health Informatics. This course is designed to provide students with the opportunity to engage in solving “real world” clinical and business informatics issues using a case-based approach. Working in teams, students will apply knowledge of change management principles along with various performance improvement methods (e.g., LEAN, Six Sigma, and Appreciative Inquiry) to address the issues/problems at hand. Students will gain insight into team dynamics and the emerging role of health informatics professionals in solving informatics challenges and in managing change. They will also gain experience in critically evaluating the work of others. 3 s.h.

HIN-714. Advanced Health Information Technology. This course provides the students with an in-depth look at concepts in information technology as applied to health care. Topics include electronic medical records, knowledge-based systems, systems integration, nutrition informatics, consumer-facing health technologies, smartphone-based public health information systems, health social media, health sensors, human-computer interfaces, decision theory and decision support, digital libraries, and educational applications. Students will also be exposed to advanced topics in the information technology and health informatics literature. Faculty engaged in health informatics research will also share current research in which they are engaged.

HIN-716. Ethical, Legal and Regulatory Issues in Health Informatics. This course introduces students to the ethical, legal and regulatory issues relevant to the use of information technology in health care. Key topics include protecting patient confidentiality and securing health information; HIPAA privacy and security regulations; legal medical record; licensure and accreditation standards; health information exchange; preventing and managing breaches; cyber-security; business continuity and disaster planning; managing contracts with business associates. 3 s.h.

HIN-718. Capstone Project. Students will complete a practicum in a health care facility or an approved capstone project. The practicum will provide the student with hands on experience in participating in some aspect of a health IT project. Students are expected to enhance their knowledge and skills in areas such as project management, workflow analysis, system evaluation and system optimization, and data analytics. Students are expected to apply and synthesize concepts presented throughout the curriculum. 3 s.h.

HIN-780. Thesis Option. Students who are interested in conducting research in health informatics should choose the thesis option. The student will work with a faculty research advisor (and least two other committee members) in developing a research proposal with well-defined problem statement, hypothesis/research question, review of the literature, and methods. Student will present the proposal and conduct independent research study. Thesis requires final defense of research to a Thesis Committee. Thesis will span more than one semester. 3 s.h.

Last Published with Edits:June 29, 2016 2:51 PM
Last Comprehensive Review: April 2015

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