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The UMSON Nursing Informatics master's specialty prepares nursing professionals to enhance the quality of patient care and outcomes through the development, implementation, and evaluation of information technology. Increasing demand for the adoption of electronic information systems is creating a growing need for nursing informatics in health care organizations and businesses that develop and sell health care information technology. As a graduate of this specialty, you will be able to analyze nursing information requirements, design system alternatives, manage information technology, identify and implement user-training strategies, and evaluate the effectiveness of clinical and/or management information systems in health care. You will also be prepared to be a leader in the conceptualization, design, and research of computer-based information systems in health care organizations and in the informatics industry.
UMSON offers the post-BSN route for obtaining a master’s degree with the Nursing Informatics specialty. Doctoral degrees (DNP and PhD) and a certificate at the post-master's level are also offered. Full-time and part-time plans are available. This specialty is available online.
We invite our students to participate in the Summer Institute in Nursing Informatics Conference.
This course scheduling and sequencing is for students who will begin the program in spring 2014. Students who began the program prior to spring 2014, click here to see your course sequencing and scheduling. Students who were admitted in spring 2014, NURS 622 and NURS 659 will replace NRSG 780 and NRSG 782.
The nursing core courses may be taken in any sequence:
|NRSG 780: Health Promotion and Population Health||Fall, Spring, Summer|
|NRSG 782: Health Systems & Health Policy: Leadership & Quality Improvement||Fall, Spring, Summer|
|NRSG 790: Application of Science for Evidence-based Practice||
Fall, Spring, Summer
|NRSG 795: Biostatistics for Evidence-based Practice||Fall, Spring, Summer|
The leadership courses may be taken in any sequence.
|NURS 690: Managerial Health Finance||Fall, Spring|
|NURS 691: Organization Theory: Application to Health Services Management||Fall, Spring|
In general, the informatics courses must be taken in the sequence shown. However, NURS 785 may precede or follow NURS 784 and NURS 786.
|NURS 736: Technology Solutions for Generating Knowledge in Health Care||Fall, Spring|
|NURS 786: Systems Analysis and Design||Spring|
|NURS 784: Information Technology Project Management||Fall|
|NURS 785: Healthcare Database Systems||Spring, Summer|
|NURS 737: Nursing Informatics Concepts and Practice in Systems Adoption||Fall|
|NURS 738: Practicum in Nursing Informatics||Spring|
|NURS 770*: Human Factors of Human and Computer Interaction||Spring, Summer|
*This course can be taken any spring or summer semester during the program – preferably before or with NURS 738.
Some courses have co-requisites or prerequisites:
NURS 737 prerequisites: NURS 736, NURS 786, NRSG 790, NRSG 795
NURS 738 prerequisites: NURS 737, NURS 785, NURS 690, NRSG 780, NRSG 782
NURS 738 co-requisites: NURS 691, NURS 784
The nursing informatics MS specialty participates in the Academic Common Market, meaning that students who reside in member states of the Southern Regional Education Board may request to pay in-state tuition if there is no nursing informatics program offered in a public university in their home state.
Eun-Shim Nahm, PhD, RN, FAAN, Professor
Eun-Shim Nahm, PhD, RN, FAAN, professor and program director, conducts research in geroinformatics, developing and evaluating technology-based interventions for the management of the health of aging adults and their caregivers. She has conducted various studies in this field, including qualitative, measurement, theory testing, and usability studies, as well as developing and implementing online interventions using various Web components. Dr. Nahm has received multiple grant awards from the National Institutes of Health (NIH). She is currently principal investigator for an R01 study, “Dissemination of a Theory-Based Bone Health Program in Online Communities” (08/2009–05/2014), funded by the National Institute of Nursing Research. She has published more than 35 peer reviewed journal articles and four book chapters in the field of nursing informatics. Dr. Nahm has mentored multiple doctoral students and teaches graduate level informatics courses.
Arpad Kelemen, PhD, Associate Professor
Arpad Kelemen, PhD, associate professor, has expertise in biomedical informatics; EHR and health care database development, optimization, and evaluation; health care software and game development; human-computer interaction; intelligent patient care technologies with artificial intelligence; and data mining of large health care data. Dr. Kelemen has published more than 50 peer reviewed papers and two books, Computational Intelligence in Bioinformatics and Computational Intelligence in Medical Informatics. He was principal investigator on a HRSA grant, "Nursing Informatics Program Focused on Diversity and the Underserved.". He has received funding from NSF, NIH, NYSTAR, and the U.S. Navy. He developed a large-scale intelligent software agent for human-like decision-making for the job assignment and job satisfaction problem. He develops models, algorithms, and intelligent systems for large-scale biomedical data, including health care, genomic, and clinical data. He currently leads the development of educational and patient-centered online health care games.
Charlotte Seckman, PhD, RN-BC, Assistant Professor
Charlotte Seckman, PhD, RN-BC, assistant professor, is a board certified informatics nurse with a research background focused on translating evidence into health care practices; exploring design efficiencies in computerized provider order entry; evaluating the usability of the electronic medical record to include system implementation, training, and user satisfaction; and developing community and cognitive engagement techniques related to Web-based learning modalities. Dr. Seckman is currently working in conjunction with the National Institutes of Health and the National Library of Medicine to develop, refine, and evaluate an evidence-based practice system called EBP InfoBot. This system is designed for automatic searching and delivery of patient-specific information from evidence-based resources that directly integrate with an electronic medical record.