Nursing Informatics

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U.S. News and World Report - Best Grad Schools - Nursing Informatics 2018‌Ranked first in the nation and offered fully online, the Nursing Informatics master's specialty prepares nurses to improve 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
  • 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.

Full-time and part-time plans are available in this fully online specialty.

If you're currently a registered nurse with an associate degree, you can save 9 credits (one full semester) when you enroll in UMSON's RN-to-MS, an accelerated path to both the Bachelor of Science in Nursing (BSN) and this MS specialty.

Online Program Overview

  • Nursing informatics courses are offered entirely online.
  • Our faculty are fully committed to distance learning.
  • Your advisor and will communicate with you individually via telephone, email, or Skype.
  • For the required practicum, you and your practicum instructor will arrange a mutually agreeable site in your local area.

Learn more about the Nursing Informatics program in this video:

Further Your Education

Additionally, UMSON’s post-graduate Nursing Informatics Certificate is for nurses with a master’s degree in another specialty area or field who are looking to gain essential knowledge and skills in nursing and health care informatics.

UMSON is also home of the annual Summer Institute in Nursing Informatics Conference.

This program is not eligible for F-1 or J-1 student visa sponsorship by the University of Maryland, Baltimore, due to the amount of online courses.

Plan of Study

Nursing Core Courses and Electives

The nursing core courses may be taken in any sequence:

Course Term Offered
NRSG 780: Health Promotion and Population Health Fall, Spring, Summer
NRSG 782: Health Systems & Health Policy: Leadership & Quality Improvement Fall, Spring, Summer
NRSG 790: Methods for Research and Evidence Based Practice

Fall, Spring, Summer

NRSG 795: Biostatistics for Evidence-based Practice Fall, Spring, Summer

Leadership Management Courses

The leadership courses may be taken in any sequence.

Course Term Offered
NURS 690: Managerial Health Finance Fall, Spring
NURS 691: Organization Theory: Application to Health Services Management Fall, Spring

Informatics Courses

In general, the informatics courses must be taken in the sequence shown. However, NURS 785 may precede or follow NURS 784 and NURS 786.

Course Term Offered
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-Technology Interaction in Healthcare 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

Sample Plans of Study

Tuition: Academic Common Market

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.

Ronald J. Piscotty, Jr., PhD, RN-BC, Assistant Professor

Ronald J. Piscotty, Jr., PhD, RN-BC, assistant professor, completed his Bachelor of Science in Nursing at Wayne State University in 1998, his Master of Science in Nursing Business and Health Systems at the University of Michigan Ann Arbor in 2006, and his PhD in nursing at the University of Michigan Ann Arbor in 2013. His research interests center around the impact that health care information technologies have on nursing practice and quality and safety in hospital settings. Dr. Piscotty is specifically interested in examining the relationship between electronic nursing care reminders and missed nursing care in acute care settings. He has 16 peer reviewed publications and one book chapter in press and has 30 peer reviewed presentations at the local, regional, national, and international level. Dr. Piscotty has received both internal and external funding for his research. He has taught nursing courses at the undergraduate and graduate level. Dr. Piscotty is board certified in nursing informatics from the American Nurse Credentialing Center. He is a member of several prominent nursing organizations including: Midwest Nursing Research Society, American Medical Informatics Association, American Organization of Nurse Executives, and Sigma Theta Tau.

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.

Ernest Opoku-Agyemang, MA, MS, RN, Clinical Instructor

Ernest Opoku-Agyemang, MA, MS, RN, is a clinical instructor with expertise in supporting and implementing information systems in health care, finance, e-business, and e-commerce. His most recent experience was working as a systems analyst on the Defense Health Administration Designated Provider Program where he was responsible for testing, requirement analysis, and design. Opoku has also served as a senior systems test engineer on the Community Health Automated Medicaid Processing System Medicare Management Information System for the State of Michigan. Prior to that, he worked in the financial industry as a consultant on the Order Audit Trail System for the NASDAQ stock market. Opoku is the recipient of the prestigious British Drummond Wolff award for his MA degree in developing area studies and was awarded the Excellence in Nursing Informatics award from the University of Maryland School of Nursing, class of 2012. As an RN, he has practical experience in direct patient care in multiple acute care settings. Areas of interest include electronic health records and barcoded computerized medication administration. He is currently a PhD student at UMSON with a research focus on using mobile applications in managing chronic diseases.

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When you submit your application, please select NURS - Online Masters on the application type dropdown list.

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