Doctor of Nursing Practice
Build the skills necessary to pursue leadership roles including Chief Information Officer (CIO), Chief Nursing Information Officer (CNIO), project manager and clinical systems analyst.
Gain the experience you need to pursue leadership roles in the field of informatics, including Chief Information Officer (CIO), Chief Nursing Information Officer (CNIO), project manager, clinical systems analyst, and nursing informatics consultant.
This program is the right fit for you if you currently hold an MS degree, have experience in informatics and are now seeking a DNP degree to advance your career. The program is a 2-3 year part-time commitment, including a Resident Intensive Summer Experience (RISE) in Tucson, Arizona. You will also be required to complete 1000 practicum hours supervised by preceptors or faculty on site.
If you have specific questions about the program, contact Jane Carrington, Associate Professor at email@example.com.
This program is designed for working professionals holding a master’s degree in nursing, or a related field. Successful applicants will also have experience in informatics.
Cost & Eligibility
The core curriculum for this degree program includes:
- NURS 648 Healthcare Informatics: Theory and Research focuses on the theoretical basis of healthcare informatics with an emphasis on management and processing of healthcare data, information and knowledge. This course is guided by communication theory.
- NURS 647 Human Factors in Health Information Technology is designed to describe the role of human factors in the design, analysis and evaluation of health information technology. Beginning with a focus on human factors that influence performance, students will learn approaches to design and analysis that account for human factors and evaluate dimensions of usability and user experience.
- NURS 634 Database Management in Healthcare Systems focuses on the development and maintenance of healthcare databases for application in solving healthcare problems. Design methods, database structures, indexing, data dictionaries, retrieval languages, and data security are presented.