Online MSN to DNP Curriculum

This course provides learners with the theoretical and practical foundation for evidence-based practice with an emphasis on evidence-based conceptual models, refining skills in searching and critiquing the literature for application to practice change, and synthesizing a body of literature to design interventions pertinent to a practice problem.

In this course the doctoral student will prepare to assume complex and advanced leadership roles to guide change as a practitioner, clinical executive, educator, clinical scientist, and clinical scholar, among others.

In this course the doctoral student will acquire competencies in using technology systems that capture data on variables for the evaluation of health care, integrating appropriate technologies to translate evolving technical and scientific information. The student will demonstrate information literacy skills in complex decision-making and ability to contribute to the design of clinical information systems that promote safe, quality, and cost-effective care.

In this course the doctoral student will acquire competencies to continuously improve the quality of systems practices focusing on day-to-day responsibilities and realities of guiding change. The student will evaluate the impact of access, cost, quality, and safety of proposed change. The interaction of organizational structure, care processes, financing, marketing and policy decisions, and regulatory pressures will be examined in relation to quality improvement decisions.

The student will develop knowledge and skills toward the DNP essentials regarding organizational leadership and systems thinking. The topics of health care economics and the business of practice will be examined. Economic concepts and tools will be used to examine issues, costs, and solve problems pertaining to health care delivery.

In this course the DNP student will develop knowledge, skills, and tools toward the DNP terminal competencies related to policy, policy development, and change to maintain high-quality care while remaining accessible and using scarce resources wisely.

This course is designed to provide the foundation for applying and implementing research by exploring the nature of inquiry and evaluating designs, methods, and measurements of evidence. Topics of validity, reliability, generalizability, rigor, and trustworthiness will be addressed in this course. Appropriate statistical analysis used to predict and analyze health care outcomes will be presented. Evaluating and using output from statistical computing software are also addressed.

In this course the DNP student will refine and prepare for implementation of the project proposal at a practice site in their state of licensure. The final project proposal will be submitted to the HPU IRB and the research review process of the project site.

In this course, the DNP student will refine and prepare for implementation of the project proposal at the practice site in their state of licensure. The final project proposal will be submitted to the HPU IRB and the research review process of the project site.

Under the guidance of their academic and external advisors, the doctoral student will analyze the results of their selected project by analyzing data, evaluating project outcomes, and disseminating results within the organization, the university, and the professional community. Findings will be disseminated in the form of a publishable scholarly paper and an oral community presentation.