Journal of Hospital Administration
https://www.sciedupress.com/journal/index.php/jha
<p><img style="float: right; padding-left: 20px; padding-right: 20px;" src="/journal/public/site/images/jha/jha-1.jpg" alt="" width="300" />Journal of Hospital Administration (PRINT ISSN 1927-6990, ONLINE ISSN 1927-7008) is an international, open access, and peer-reviewed scientific journal published by Sciedu Press. It is devoted to publishing research papers in the fields of managing practice and research in all branches of hospital administration. JHA welcomes original articles and reviews. It is published in both online and printed versions.</p><p><strong>JHA is included in:</strong></p><ul><li><a style="font-size: 10px;" href="https://scholar.google.com/citations?hl=en&user=hiyI_KUAAAAJ&view_op=list_works&gmla=AJsN-F7AzfxTQRtz9xWke39Rs8oqyGsIP1qg5yDVRsXyWqtqTSK7_NiPvumXU7cFVL0ddy9HhYKm1Py5NzLA7mZRP5R4t3DDMy2Xg1moyEqgRn7axknNtCU">Google Scholar</a></li><li>LOCKSS</li><li>PKP Open Archives Harvester</li><li>SHERPA/RoMEO</li><li>The Standard Periodical Directory</li></ul><p><strong>Areas include but are not limited to:</strong></p><ul><li>Healthcare Quality and Patient Safety</li><li>Health Economics</li><li>Health Policy</li><li>Health Services</li><li>Clinical Ethics</li><li>Clinical Risk</li><li>Health Facilities Management</li><li>Health Data Management</li><li>Healthcare Informatics</li><li>Nursing Management</li><li>Clinical Department Management</li><li>Out-patient Management</li><li>Inpatient Management</li><li>Health Insurance</li><li>Hospital Accreditation</li><li>Public Health</li></ul><p>To facilitate rapid publication and minimize administrative costs, JHA accepts <a href="/journal/index.php/jha/about/submissions#onlineSubmissions">Online submission</a> and <a href="mailto:jha@sciedupress.com">Email submission</a>. All manuscripts and any supplementary material can be submitted via the journal’s Online Submission and peer-review system or email to <a href="mailto:jha@sciedupress.com">jha@sciedupress.com</a>. For online submission, please create a new account and then follow the instructions given.</p><p><strong>Sections</strong></p><p>Original Articles, Reviews, Case Studies, Experience Exchange</p>Sciedu Pressen-USJournal of Hospital Administration1927-6990<p>Submission of an article implies that the work described has not been published previously (except in the form of an abstract or as part of a published lecture or academic thesis), that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, will not be published elsewhere in the same form, in English or in any other language, without the written consent of the Publisher. The Editors reserve the right to edit or otherwise alter all contributions, but authors will receive proofs for approval before publication.</p><p>Copyrights for articles published in our journals are retained by the authors, with first publication rights granted to the journal. The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.</p>Exploring the leadership styles of nurse managers in Hail, Saudi Arabia: A cross-sectional analysis
https://www.sciedupress.com/journal/index.php/jha/article/view/24775
<strong>Objective:</strong> Leadership’s impact in healthcare is crucial as it notably shapes the experiences and performance of nursing staff. This study explores the dominant leadership styles among nurse managers in Hail, Saudi Arabia, as experienced by their nursing staff. The inquiry also examines how these leadership approaches directly influence critical organizational outcomes, including leader effectiveness, employee satisfaction, and staff’s willingness to exert extra effort.<br /><strong>Methods:</strong> A cross-sectional design involving participants recruited via convenience sampling from four government hospitals in Hail, Saudi Arabia. Data were collected using the 45-item Likert-type Multifactor Leadership Questionnaire (MLQ) and analyzed using SPSS Statistics.<br /><strong>Results:</strong> Among the 372 nurses analyzed, transformational leadership (2.56 ± 0.75) significantly outscored other styles (<em>p</em> < .001) and had the highest correlation with the leadership outcomes of effectiveness, extra effort, and satisfaction (R2 of 0.828, 0.786, and 0.760, respectively) compared to the transactional and laissez-faire leadership styles. Additionally, linear regression analysis revealed that transformational leadership explained 69% of effectiveness, 61.7% of extra effort, and 58% of satisfaction variances. Within the transformational framework, “inspirational motivation” strongly correlated with positive outcomes.<br /><strong>Conclusions:</strong> This study emphasizes transformational leadership’s essential role in healthcare, urging nurse leaders to embrace this style, with a focus on strategies that boost motivation. It also recommends that healthcare institutions initiate targeted programs to develop their leaders’ transformational leadership characteristics.Salwa AlrashidiWafa AleneziAfaf AlrimaliMashael Alshammari
Copyright (c) 2023 Journal of Hospital Administration
2023-11-262023-11-26131110.5430/jha.v13n1p1A comparative performance analysis of live clinical triage using rules-based triage protocols versus artificial intelligence-based automated virtual triage
https://www.sciedupress.com/journal/index.php/jha/article/view/24793
<strong>Objective:</strong> Compare the triage care referral accuracy of artificial intelligence (AI) based virtual triage (VT) to rules-based triage protocols (RBTP) live telephonic triage.<br /><strong>Methods:</strong> Clinical vignettes were selected for a comparison of care referral accuracy of RBTPs with a widely utilized AI-based VT solution. Vignettes (149) included patient complaints, expected triage and urgency assessment. Triage levels were mapped to three triage categories (urgent care, non-emergent care and self-care). Each vignette was evaluated/completed using AI-based VT and RBTP triage modalities by a total of four physicians in series, with independent assessment for errors and inconsistencies. Triage assessment precision was analyzed by matching the expected triage assessment, sensitivity and F1 scores (harmonic mean of precision and recall).<br /><strong>Results:</strong> Both modalities achieved > 70% triage accuracy, and safety performance was identical at 91%. AI-based VT was more accurate in care referral for emergency and non-emergency care and overtriaged to emergency care 50% less frequently than RBTP, but was less accurate than RBTP in self-care vignettes (neither statistically significant). Both modalities demonstrated decreased sensitivity as care urgency/acuity decreased, more pronounced in AI-based VT than RBTP. AI-based VT captured four times as much information and data as RBTP.<br /><strong>Conclusions:</strong> AI-based VT and RBTP were comparable in care referral accuracy and disposition safety. While AI-based VT provides accurate and safe triage recommendations at a lower total cost, care organizations should assess how AI-based VT compares to a live clinical triage capability with respect to organizational priorities, budgetary considerations, characteristics of the patient/member population served, and the existing technological environment.George A. GellertKacper KuszczyńskiNatalia MarcjaszJakub JaszczakTim PricePiotr M. Orzechowski
Copyright (c) 2023 Journal of Hospital Administration
2023-12-272023-12-27131810.5430/jha.v13n1p8