The evolving and complex practice environment calls for new mindsets among nurse leaders, academics, and nurse innovators to envision innovative ways to manage and optimize traditional tasks and processes in nursing administration. The purpose of this article is to present 3 case studies that used linear programming and simulation to innovate staffing enterprises, financial management of healthcare systems, and curricula development.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/NNA.0000000000000309 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Exploring Self-Management Behavior Profiles in Patients with Multimorbidity: A Sequential, Explanatory Mixed-Methods Study.
Clin Interv Aging
January 2025
Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, People's Republic of China.
Purpose: This study aims to identify self-management behavior profiles in multimorbid patients, and explore how workload, capacity, and their interactions influence these profiles.
Patients And Methods: A sequential explanatory mixed-methods design was employed. In the quantitative phase (August 2022 to May 2023), data were collected from 1,920 multimorbid patients across nine healthcare facilities in Zhejiang Province.
A Scoping Review of Factors Associated with Delayed Extubation in Post Cardiac Surgery Patients.
Vasc Health Risk Manag
January 2025
Department of Critical Care and Emergency Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia.
Background: Delayed extubation (DE) after cardiac surgery is associated with high morbidity, mortality, increased length of stay in the intensive care unit, and hospital costs. Various studies have identified factors that influence the occurrence of DE in patients after cardiac surgery, but no review has systematically synthesized the results.
Purpose: This review aimed to identify the influencing factors and the leading causes of DE in patients after cardiac surgery.
NRICM101 in combatting COVID-19 induced brain fog: Neuroprotective effects and neurovascular integrity preservation in hACE2 mice.
J Tradit Complement Med
January 2025
National Research Institute of Chinese Medicine, Ministry of Health and Welfare, Taipei City, 112026, Taiwan.
Amidst growing concerns over COVID-19 aftereffects like fatigue and cognitive issues, NRICM101, a traditional Chinese medicine, has shown promise. Used by over 2 million people globally, it notably reduces hospitalizations and intubations in COVID-19 patients. To explore whether NRICM101 could combat COVID-19 brain fog, we tested NRICM101 on hACE2 transgenic mice administered the S1 protein of SARS-CoV-2, aiming to mitigate S1-induced cognitive issues by measuring animal behaviors, immunohistochemistry (IHC) staining, and next-generation sequencing (NGS) analysis.
View Article and Find Full Text PDFReduced time spent with patients and decreased satisfaction in work during COVID-19 pandemic.
Can Med Educ J
December 2024
Department of Medicine, Cleveland Clinic, Ohio, USA.
Background: The COVID-19 pandemic disrupted the healthcare system, affecting physician wellbeing. The consequences of reduced time spent with patients at bedside during the pandemic has not been investigated. The objectives of this study include assessing time spent with patients, physician wellbeing and patient satisfaction before and during the pandemic.
View Article and Find Full Text PDFPredictive Factors and the Predictive Scoring System for Falls in Acute Care Inpatients: Retrospective Cohort Study.
JMIR Hum Factors
January 2025
Department of Medical Safety, Shizuoka General Hospital, Shizuoka, Japan.
Background: Falls in hospitalized patients are a serious problem, resulting in physical injury, secondary complications, impaired activities of daily living, prolonged hospital stays, and increased medical costs. Establishing a fall prediction scoring system to identify patients most likely to fall can help prevent falls among hospitalized patients.
Objectives: This study aimed to identify predictive factors of falls in acute care hospital patients, develop a scoring system, and evaluate its validity.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!