Grace Chacon, Marian McCann Kleinman, Stephanie R Robinson, Prashiela Henderson
{"title":"Advancing the Nursing Profession Through Association of California Nurse Leaders (ACNL) Scholarships.","authors":"Grace Chacon, Marian McCann Kleinman, Stephanie R Robinson, Prashiela Henderson","doi":"10.1097/NAQ.0000000000000722","DOIUrl":"https://doi.org/10.1097/NAQ.0000000000000722","url":null,"abstract":"<p><p>The Association of California Nurse Leaders's (ACNL) Recognition and Scholarship Committee (RSC) investigated the role of ACNL in providing scholarships to advance nursing education and professional development. The committee played a crucial role in overseeing the selection process for scholarship recipients to ensure that applicants were evaluated fairly. The RSC was responsible for meeting the committee's goals and the mission of ACNL. In this review, a description of how scholarships supported Registered Nurses in overcoming financial barriers to further education and enhance professional growth by positively impacting nursing practice and potentially patient outcomes was investigated. The RSC oversees the selection and evaluation process based on specific criteria, such as Grade Point Average, personal statements including the need for scholarship, and letters of recommendation. The committee also highlighted the significant impact of ACNL scholarships through a survey conducted among 10 recipients from 2022 to 2025, showing a 100% response rate and substantial professional growth by the recipients. Seventy percent of the recipients presented at major health and nursing conferences; 60% completed their advanced degree; and 50% of scholarship recipients were promoted since receiving their scholarship award.</p>","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":"50 1","pages":"16-19"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145805546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"From California Nurse Leaders to the World.","authors":"Dan Weberg, Tim Porter-O'Grady","doi":"10.1097/NAQ.0000000000000734","DOIUrl":"https://doi.org/10.1097/NAQ.0000000000000734","url":null,"abstract":"","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":"50 1","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145805548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mary Anne Schultz, Hannah J Kim, Fang-Yu Chou, Sarah L Flores, Evangeline Fangonil-Gagalang
{"title":"Digital Innovations Improving Nursing Practice Through Artificial Intelligence: The State of the Science.","authors":"Mary Anne Schultz, Hannah J Kim, Fang-Yu Chou, Sarah L Flores, Evangeline Fangonil-Gagalang","doi":"10.1097/NAQ.0000000000000721","DOIUrl":"10.1097/NAQ.0000000000000721","url":null,"abstract":"<p><p>Despite significant concerns about the broad use of artificial intelligence (AI) in clinical practice, registered nurses are commonly challenged to adopt, evaluate, and improve these digital solutions in almost any care environment. The aim of this study is to appraise, then analyze, the scientific literature for contemporary digital innovations that improve nursing practice through the use of AI. This scoping review with thematic analysis of digital innovations impacting nursing practice was conducted using CINAHL and PubMed databases (2022-2024). We describe the use of large language models and associated software tools in supporting this work, highlighting the essential human-in-the-loop activities involved. Results: This review highlights emerging themes, notably improved patient safety and greater trust and acceptance. A persistent emphasis on AI as an assistive entity was found across many products, processes and pilots identified in our corpus. This body of literature is rapidly evolving and characterized by multiple competing themes. The proper implementation and execution of AI as an assistive mechanism is crucial for safety enhancement, improved quality, and trust. Recommendations include the provision of transparency in all aspects of AI innovations for practice (from inception to evaluation) and participatory implementation activities.</p>","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":"50 1","pages":"44-67"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145805550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kim Reina Failla, Luc R Pelletier, Debra M Poeltler
{"title":"Newly Licensed Nurse Retention: What a 5-Year Review of Data Tells Us.","authors":"Kim Reina Failla, Luc R Pelletier, Debra M Poeltler","doi":"10.1097/NAQ.0000000000000735","DOIUrl":"10.1097/NAQ.0000000000000735","url":null,"abstract":"<p><p>Although many articles address retention, few define the concept. There is a need for all health care organizations to adopt a standard definition in order to make accurate comparisons. This organization provides a definition of retention, measures pre-COVID and post-COVID retention, and uses psychometrically tested tools to measure the effectiveness of an accredited Nurse Residency Program. Characteristics of nurses who stay and nurses who leave are provided. Evidence-based retention strategies and opportunities for improvement are discussed, as all health care organizations and nurse leaders desire to have a return on their investment of enculturating newly licensed nurses.</p>","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":"50 1","pages":"3-8"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145805569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Feasibility Testing of the Gastro Study Buddy: A Smartphone Application for Health Data Collection in Patients With Gastroparesis.","authors":"Kathryn Piper, Amanda Brown","doi":"10.1097/CIN.0000000000001407","DOIUrl":"10.1097/CIN.0000000000001407","url":null,"abstract":"","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145715960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Are Any Top 50 Scimago Journal Rank-indexed Journals in the Nursing Category Considered \"Predatory\" by an AI-driven \"Predatory\" Journal Detector?","authors":"Jaime A Teixeira da Silva, Marilyn H Oermann","doi":"10.1097/CIN.0000000000001396","DOIUrl":"10.1097/CIN.0000000000001396","url":null,"abstract":"","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145715906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Catherine H Ivory, Lisiane Pruinelli, Rebecca Freeman, Connie W Delaney
{"title":"2025 Nursing Knowledge: Big Data Science Conference Highlights the Power of Nursing Data.","authors":"Catherine H Ivory, Lisiane Pruinelli, Rebecca Freeman, Connie W Delaney","doi":"10.1097/CIN.0000000000001404","DOIUrl":"10.1097/CIN.0000000000001404","url":null,"abstract":"","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145649606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Testing Machine Learning-Based Pain Assessment for Postoperative Geriatric Patients.","authors":"Tülin Kurt Alkan, Nurten Taşdemir","doi":"10.1097/CIN.0000000000001248","DOIUrl":"10.1097/CIN.0000000000001248","url":null,"abstract":"<p><p>The global population is aging, and there is a concomitant increase in surgery for the elderly. In geriatric patients, where postoperative pain assessment is difficult, technological tools that perform automatic pain assessment are needed to alleviate the workload of nurses and to accurately assess patients' pain. This study offers a more reliable and rapid assessment tool for assessing the pain of elderly patients undergoing surgery. The study aimed to develop a machine learning-based pain assessment application for postoperative geriatric patients. A methodological study was conducted with 68 patients in the general surgery clinic of a hospital between October 2022 and June 2024. Data were collected using a Sociodemographic Data Collection Form, the Numeric Rating Scale, and the Wong-Baker FACES Pain Scale. Then, machine learning was used. Data are summarized using descriptive statistics and presented using narrations, tables, and graphs. The study reveals that nurses assigned lower scores to patients' pain levels. In the categorical classification, a high level of agreement was observed between the patient and the machine learning for each measurement. A machine learning-based pain assessment application is an efficacious method for assessing pain following geriatric surgery. It facilitates nursing care and supports the advancement of geriatric nursing.</p>","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":"43 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145439217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Virtual Connected Care: A Distinctive Care Delivery Model.","authors":"Gay Landstrom, Murielle Beene","doi":"10.1097/NAQ.0000000000000703","DOIUrl":"https://doi.org/10.1097/NAQ.0000000000000703","url":null,"abstract":"<p><p>A rapidly emerging topic in nursing and health care literature is virtual nursing. New hospital care delivery models are being developed largely in response to the shortage of registered nurses willing to work in the inpatient setting and proposed as the way to ensure safety in staffing in that context. One national health care system successfully presented a case for the implementation of an innovative model that would team a bedside nurse, a dedicated care partner and leverage technology to deliver adult acute care on inpatient units. The model was developed, prototyped and tested, with outcomes providing the impetus for a system decision to scale and sustain the model across all acute care hospitals. An innovative implementation team, guided by a focused change methodology and grounded in the core values of the organization, was established to implement the model across an initial 2500 beds. Principles of Human Caring Science and Relational Coordination were both cornerstones of the model and enablers of the change process. This paper will address details of the model, change tactics, implementation, learnings through scaling across an enterprise, and the implications for research.</p>","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":"49 4","pages":"288-294"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}