Back to results

University of San Francisco

Optimizing Engagement in the Acute Care Setting: A Nurse Driven Staffing Model

Abstract

dc:description.abstract

<p>Health care is on the threshold of major reform. Central to this reform will be the ability to maximize patient outcomes and resource allocation. The delivery of nursing care is essential to these concepts. Nursing care delivery impacts both patient outcomes and labor costs. Every aspect of care delivery has changed over time: length of stay, acuity, payment methodologies, documentation, technology, and regulatory requirements. Yet the model by which we allocate resources to the bedside is based on an archaic notion and forecasting model around one variable. The development of effective nurse staffing strategies will ensure those delivering care are engaged and able to meet the present day demands. Understanding the complex environment in which care is being delivered and the increasing demands put on those delivering care, Legacy Health, in Portland, Oregon, has embarked on an innovative project to redesign their nurse staffing model; building on current advancements in technology and more importantly engaging those closest to the work.</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Nursing Practice (DNP)
Level thesis:degree_level
Project
Discipline thesis:degree_discipline
Nursing
Year dc:date.available
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Fall, Denise D
Contributors dc:contributor
  • Dr. Marjorie Barter, EdD, RN, CENP, CNL
  • Dr. KT Waxman, DNP, RN, CNL, CENP, CHSE, FAAN

Subjects

dc:subject × 7

Identifiers

dc:identifier.*
Repository record dc:identifier
https://repository.usfca.edu/dnp/81
OAI identifier oai:identifier
oai:repository.usfca.edu:dnp-1095

Chain of custody

source
Harvested from
University of San Francisco
Base URL
repository.usfca.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Fall, Denise D. Optimizing Engagement in the Acute Care Setting: A Nurse Driven Staffing Model. Project thesis, 2016. https://repository.usfca.edu/dnp/81