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1.
J Nurs Adm ; 25(10): 61-7, 1995 Oct.
Article in English | MEDLINE | ID: mdl-7472621

ABSTRACT

The Expert Panel Nurse Staffing and Resource Management Method is a bold new approach for the identification of nurse staffing requirements and the management of resources. Expert panels comprised of those most knowledgeable of the patient population and the uniqueness of specific patient care areas identify staff needed to meet clinical, administrative, education, continuous quality improvement, and research needs. In addition, the expert panels explore opportunities for systems improvements, work redesign, and administrative restructuring within the context of budgetary realities.


Subject(s)
Models, Nursing , Nursing Staff, Hospital/supply & distribution , Personnel Staffing and Scheduling Information Systems , Decision Making, Organizational , Focus Groups , Hospitals, Veterans/organization & administration , Humans , Models, Organizational , Psychology, Industrial , United States , Workforce
2.
Nurs Clin North Am ; 25(3): 581-6, 1990 Sep.
Article in English | MEDLINE | ID: mdl-2199935

ABSTRACT

The development and implementation of creative alternatives to minimize the overall effect of the nursing shortage is a national concern. This article examines the concept of creativity and suggests methods to generate creative ideas and solutions to this problem.


Subject(s)
Creativity , Nursing , Humans , United States , Workforce
3.
Nurs Clin North Am ; 23(3): 531-8, 1988 Sep.
Article in English | MEDLINE | ID: mdl-3138669

ABSTRACT

This article is designed to provide a description of the Veterans Administration's resource allocation system: an acute care, DRG case mix-based model; a long-term care, resource utilization group (RUG-II) model; and an ambulatory care, capitalization system. Nursing issues regarding resource allocation are discussed.


Subject(s)
Health Resources/supply & distribution , Hospitals, Veterans/economics , United States Department of Veterans Affairs , Acute Disease/economics , Ambulatory Care/economics , Budgets , Diagnosis-Related Groups , Humans , Long-Term Care/economics , Models, Theoretical , United States
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