1697 research outputs found
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Starry Night at Phillips Hall, undated
No full textThis photo features students exiting Phillips Hall at night.https://fuse.franklin.edu/phillipshall/1009/thumbnail.jp
Student Services Staff, undated
No full textThis photo features staff posing in the Student Services Associate Area.https://fuse.franklin.edu/studentservices/1007/thumbnail.jp
Reducing Hospital-Acquired Pressure Injuries in Critical Care Using a Preventing Pressure Ulcers Data Tool
No full textProblem: Hospital-acquired pressure injuries (HAPIs) are preventable yet remain a significant source of patient harm, especially in high-acuity settings like the Neurocritical Care (NCC) unit. HAPIs increase morbidity, length of stay, and healthcare costs. Despite having a prevention bundle, the NCC unit exceeded national benchmarks due to inconsistent adherence, delayed consultations, and variable documentation. Addressing this issue supports the organization\u27s goals for safety and quality, aligning with CMS and Joint Commission standards.
Aim of the Project: This 12-week quality improvement project aimed to reduce HAPI incidence in the NCC unit by implementing the AHRQ Preventing Pressure Ulcers Data Tool. The checklist reinforced existing bundle elements, streamlined workflows, and improved bedside accountability.
Review of the Evidence: Literature supports checklist-driven, multidisciplinary approaches to pressure injury prevention. Studies have highlighted that the use of standardized tools, frequent repositioning, and real-time auditing can improve consistency, communication, and outcomes in critical care.
Project Design: Using QI methodology, PDSA cycles, and the OhioHealth Change Management Model (OHCM), the project achieved a 100% reduction in HAPIs in July 2025. Overall rates decreased from 3.23 in fiscal year 2025 to 2.56 as of the fiscal year-to-date, representing a 21% reduction. Checklist use peaked at 70% in Week 1, dipped to 3% in Week 5, and rebounded to 65% by Week 8 after targeted interventions. Completion reached 100% in six of eight weeks. Staff reported no added burden, and early consultation surges were resolved through documentation clarifications.
Intervention: The AHRQ tool was deployed as a structured checklist to reinforce adherence to the bundle. Training, visual cues, and leadership rounding supported implementation. PDSA cycles addressed workflow and documentation barriers.
Significant Findings/Outcomes: The project achieved zero HAPIs in July, resulting in a 21% overall reduction, and estimated cost avoidance of 303,400. Staff engagement and checklist compliance improved without increasing workload.
Implications for Nursing:
This initiative demonstrates nursing’s pivotal role in quality improvement. Sustaining success requires EHR integration, policy reinforcement, leadership support, and ongoing monitoring to scale across high-risk units
Motor Impulsivity and Individual Behavior in Cloud Business: Privacy as a Mediator and Openness as a Personality Trait Shaping Security Dynamics
No full textLiterature has paid considerable attention to the study of impulsivity and personality characteristics on aspects such as risk-taking behavior and privacy concern in other contexts, but little light has been shed on how they combine among people in cloud business and data security setting. The current study filled a significant void by quantitatively examining how motor impulsivity was combined with openness to experience trait of personality and personal information privacy on one’s behavior in the cloud business and data security environment. A total of 150 cloud business and technical professionals in financial companies were sampled. Risk propensity model was utilized as a framework. This study investigated two primary research questions regarding the relationship between motor impulsivity and individual behavior. Specifically, it examined whether personal information privacy mediated this relationship and whether openness to experience moderated the strength or direction of this effect. There were statistically significant results which led to the rejection of all three null hypotheses as stated in the research question. Suggestions ranged from a program to assessing impulsive behavior, tailored training modules, and personalized security measures. It would be interesting for future work to investigate the moderating effects of other personality traits on impulsivity and personal behavior, as well as to study how cultural dimensions shape security behavior
Humanizing Accreditation: Transforming Accreditation From a Bureaucratic Exercise Into a Compelling Narrative of Institutional Excellence
Full text linkHigher education accreditation serves as a critical mechanism for ensuring institutional accountability, quality assurance, and continuous improvement. However, traditional approaches to accreditation often emphasize data collection and compliance, which can obscure the human stories and transformative experiences behind institutional success.
This research will apply the Narrative Policy Framework (NPF) to create a model of storytelling as a powerful strategy for higher education institutions to articulate their impact and strengthen accreditation narratives
Mentorship Matters: Building Bridges to Enhance the College Students Success
Full text linkThis proposal aims to develop a comprehensive workshop designed to empower students with the tools, knowledge and support essential for navigating academic challenges across all programs
Mental Health of Immigrants in the United States: A Literature Review of What We Know and What Can Be Done?
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The Changing Landscape of Academic Research in the Age of Artificial Intelligence (AI)
Full text linkThis paper looks at the transformative power of AI integration in academic research, underscoring how AI tools and/or technologies are reshaping research landscape. The emergence of AI has introduced new tools and methodologies that enhance the execution of research. The paper examines the various applications of AI in academic research, such as conduct of comprehensive literature review and data analysis through the use of machine learning techniques and advanced algorithms among others. Additionally, the paper discusses the implications of AI application on research efficiency and accuracy as well as ethical considerations and challenges. Through this comprehensive overview of evolving AI integration and its future prospects, the paper expounds on the potential of AI in transforming academic research and drive innovation across disciplines. The paper concludes by underscoring the need for interdisciplinary collaboration, continuous education, and robust ethical frameworks to tap the full potential of AI while mitigating associated risks