Professional practice models guide nursing practice by giving meaning to the work of nurses. They elevate the practice from tasks to theory, from skills to knowledge, and remind us that the patient and family are at the center of our practice. Professional practice models are one of the foundations of the Magnet Recognition Program. The purpose of this paper is to describe the development and implementation of a professional practice model in a healthcare system, which includes three hospitals and over 80 ambulatory practices in the New York City region.
Healthcare organizations must be intentional and purposeful in creating diversity programs. A nursing leader mentorship program for racial and ethnic minority nurse managers was introduced at a large academic medical center to meet this need. The program design was based on the successful Leadership Institute for Black Nurses, first conducted at a university school of nursing. The participants in the 4-month program were 16 nurse managers from 2 city hospitals and their mentors.
The discipline of nursing continues to evolve in keeping with the dramatic expansion of scientific knowledge, technology, and a concomitant increase in complexity of patient care in all practice settings. Changing patient demographics require complex planning for co-morbidities associated with chronic diseases and life-saving advances that have altered mortality in ways never before imagined. These changes in practice, coupled with findings from sophisticated nursing research and the continuous development of new nursing knowledge, call for realignments of the relationships among academic faculty in schools of nursing, advanced practice nurse administrators, and staff nurses at the forefront of practice. This article offers a model designed to bridge the gaps among academic settings, administrative offices and the euphemistic “bedsides” where staff nurses practice. Here we describe the nurse attending model in place at the New York University Langone Medical Center (NYULMC) and provide qualitative data that support progress in our work.
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