Background: Advances in robotics are transforming health sciences education and helping to prepare students for future careers. Understanding students’ perceptions, comfort, and attitudes towards these tools is important to help enhance learning. Methods: Using the JBI scoping review protocol and the Arksey and O’Malley framework, we conducted a comprehensive keyword search of the literature in CINAHL, ERIC, Education Source, MEDLINE, PsycINFO, and Web of Science, resulting in 576 unique records. Articles with a health care/health sciences student population, a physical robot, and an assessment of student attitudes were included. Results: Eighteen studies encompassing a diverse group of participants, including nursing students, medical students, and multidisciplinary students in various fields such as communication, computer science, nutrition, and psychology, were included in this review. Robot types studied across these studies included: telepresence robots, surgical robots, humanoid robots, nonhumanoid robots, robot animal companions, and other robot classifications (social, service, and companion). Students consistently reported positive perceptions with increased satisfaction with robots, valuing their benefits for learning, stress reduction, and career enhancement interest. Discussion: Further investigation of how students from various disciplines use educational robots and factors influencing their engagement will allow educators to tailor educational robotics and better serve our diverse student populations.
This study aimed to assess the content and quality of existing YouTube videos on the urethral catheterization procedure. The study used a descriptive research design. Forty-one (41) videos were examined on YouTube. Urethral Catheterization Skill Checklist, DISCERN, Global Quality Standard (GQS), and JAMA were used to collect the study data. Among the videos included in the study, 51.2% were for female patients and 48.8% were for male patients. Content analysis revealed that critical procedural steps were frequently omitted in a substantial proportion of the videos: hand hygiene was not addressed in 22% of the videos, preprocedure information was not provided in 10.1%, latex allergy screening was absent in 82.9%, patient privacy was not ensured in 12.2%, and adherence to aseptic principles was not demonstrated in 7.3%. No statistically significant relationship was found between DISCERN, GQS, and JAMA scores and popularity variables such as video duration, year of upload to YouTube, views, and likes ( P >.05). The urethral catheterization videos evaluated in this study were generally of moderate quality; however, they exhibited notable shortcomings with respect to scientific reliability and adherence to standard procedural steps. Accordingly, online instructional videos should be developed in a more reliable, evidence-based, and professionally standardized manner.
We aimed to evaluate the intervention effect of risk-stratified nursing mode and digital health management on pregnant women with gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP). A prospective randomized controlled trial was conducted to recruit 120 GDM patients with HDP. A control group (n=60) and an intervention group (n=60) were established for random allocation. Both groups received conventional nursing, and the intervention group additionally received risk-stratified nursing by a mobile health platform throughout the third trimester of pregnancy. The intervention group had significantly lower preterm delivery rate, macrosomia incidence rate, and fetal distress incidence rate than those of the control group (P<.05). The cesarean section rate and maternal complication rate significantly decreased in the intervention group in contrast to those in the control group (P<.05). Before delivery, the intervention group outperformed the control group in the levels of fasting blood glucose, postprandial blood glucose (PBG), systolic blood pressure, and diastolic blood pressure (P<.05). The risk-stratified nursing mode plus digital health management can effectively ameliorate the blood glucose and blood pressure control in pregnant women with GDM and HDP.
Children undergoing intravenous procedures often experience substantial fear and discomfort, which can make these procedures more difficult to perform. This study examined whether virtual reality could serve as a supportive technology during pediatric intravenous procedures. A randomized, parallel-group design was used with 50 children assigned to either a virtual reality group or a comparison group. Pain and fear were assessed using self-report measures, and physiological responses were evaluated using heart rate variability, heart rate, and blood pressure indicators. Children in the virtual reality group reported significantly lower fear than those in the comparison group, whereas pain scores did not differ significantly between groups. The virtual reality group also showed significant differences in heart rate variability-related indices, suggesting a less pronounced sympathetic-dominant autonomic pattern, which may be clinically meaningful in the context of lower fear during intravenous procedures. These findings support the potential role of VR as a supportive technology in pediatric nursing care during intravenous procedures.
Accurate and timely mortality prediction is essential for nursing clinical decision-making in intensive care units (ICUs). Although the Sequential Organ Failure Assessment (SOFA) score is widely used to evaluate organ dysfunction, its manual calculation limits routine application in fast-paced clinical environments. This study aimed to enhance ICU system-level safety and workflow efficiency by refining and evaluating an automated Electronic Medical Record (EMR)-integrated SOFA scoring system (AI-SOFA) to evaluate: (1) its predictive performance for mortality compared to traditional manual scoring; and (2) its clinical utility as a nursing informatics initiative. A retrospective cohort study was conducted using EMR data from 2559 ICU admissions at a tertiary hospital in South Korea. Automated SOFA scores were generated using 11 routinely collected clinical parameters. Logistic regression, random forest, and XGBoost models were trained, and model performance was evaluated using the area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, accuracy, and F1 score. ICU mortality increased markedly with higher SOFA scores, exceeding 50% at scores ≥13. Among the machine learning (ML) models, XGBoost demonstrated the highest predictive performance (AUROC=0.9005), outperforming random forest (0.8975) and logistic regression (0.8722). In contrast, mortality prediction based on manual SOFA scoring showed substantially lower accuracy (AUROC=0.64). The AI-SOFA system serves as a nursing informatics tool that supports nursing workflows by enabling real-time risk stratification, reducing documentation burden, and facilitating timely clinical decision-making in ICU settings.
Smart infusion pumps are widely used to reduce medication errors. When integrated with electronic medical records (EMR), they support a closed-loop medication management system. This study evaluates the impact of EMR-smart pump interoperability on patient safety and user acceptability in a multicenter Australian health service. A comparative study was conducted using baseline data from a tertiary hospital without smart pump integration (December 2021 to July 2022) and post-implementation data from the newly established digital cardiac hospital (March 2023 to December 2023). Both sites utilized a coronary care-specific medication library to ensure consistency. The evaluation focused on key indicators such as medication library compliance, the frequency of pump reprogramming and high-risk medication alerts, the number of keystrokes required for programming, and the rate of alert overrides. An anonymous survey captured nursing staff perceptions related to satisfaction, workflow efficiency, and confidence in using the pump systems. Following the implementation EMR-smart pump interoperability, medication library compliance improved significantly, rising from 93% to 97%, P <.0001. Alerts related to pump reprogramming and high-risk medications also increased, suggesting enhanced safety monitoring. At the same time, programming became more efficient, with the average number of keystrokes required dropping from 13±3.4 to 3±1.2, P <.0001. However, despite these gains, survey responses revealed a decline in clinician’s perceived ease of use (from 90% to 45%, P <.0001) and confidence in programming (93% to 65%, P <.0001). While the rate of cancelled infusions alerts (20% vs. 14%, P <.0001) and all other nonspecific pump alerts (23% vs. 16%, P <.0001) reduced. The integration of EMR-smart pump interoperability enhances medication safety by increasing the frequency of clinical alerts and reducing manual data entry. However, this advancement may introduce usability challenges that impact staff confidence and workflow. These findings highlight the importance of balancing technological integration with user experience to optimize patient safety outcomes.
Few studies have examined the acceptance of transfer-care robots across diverse caregiver roles and practice settings, with most research limited to single professional groups or institutional environments. This mixed-methods study integrates nurses, personal care assistants, and family caregivers from hospitals, long-term care facilities, and home care to capture a holistic perspective on technology adoption across the continuum of care. Employing a sequential explanatory design guided by Davis’ Technology Acceptance Model, we conducted a quantitative survey (n=224) followed by focus group interviews (n=15). Quantitative findings revealed that job relevance was the strongest predictor of intention to use ( β =0.50, P <.001), with perceived usefulness and self-efficacy also being significant (adj. R² =.81). Thematic analysis identified 4 themes—physical burden of transfers, urgent need for robotic assistance, desire for safe and efficient robots, and aspirations for transformative technology—which contextualized these predictors by highlighting how TCRs can mitigate physical strain and fall risks. The findings highlight the necessity of informatics strategies prioritizing user-centered design and workflow alignment. These results can inform efforts to enhance caregiving environments and support the framework for successful implementation of robotic assistance in diverse health care settings.
Background: Bladder dysfunction requires noninvasive and accurate tools for continuous monitoring in clinical and home settings. Wearable sensors represent a promising technology, with potential applications in bladder assessment and nursing practice, but available evidence is still limited. Methods: A systematic review of studies published from 2015 to 2025 on noninvasive wearable sensors for monitoring bladder dysfunction was conducted. Clinical, pilot, and technology studies reporting data on accuracy, usability, adherence, quality of life, and healthcare implications were included. The synthesis was narrative. Results: Seven studies met the inclusion criteria. The devices demonstrated good accuracy and acceptance, with concerns related to positioning, motion artifacts, and the lack of standardized quality of life measures. The central role of nursing staff in the use, training, and management of notifications was highlighted. Discussion: Wearable sensors show potential in the management of bladder dysfunction, but clinical evidence is preliminary. Pragmatic studies are needed to define their clinical, organizational, and economic impact.
Health care professionals face an urgent need for AI literacy as artificial intelligence technologies rapidly transform clinical practice, yet nursing-specific educational resources remain scarce. The objective of this study was to evaluate the effectiveness of an innovative micro-learning AI education program developed through an academic-industry partnership. We implemented 11 micro-courses (4 to 5 hours each) across foundational, application, and advanced competency levels, with nursing-specific content addressing professional scope and leadership opportunities. The program was delivered through Chamberlain University Center for Faculty Excellence and Walden University School of Lifelong Learning. We analyzed enrollment data, learning outcomes, and satisfaction scores from 478 students and faculty with 612 course completions. Among 612 course completions, registered nurses comprised 49% of participants. Students demonstrated significant knowledge gains (Cohen’s d=0.65, P <.001) with high satisfaction scores (mean=4.58/5.0). Faculty participants showed exceptional outcomes (satisfaction mean=4.67/5.0) with 99% expressing commitment to applying learning. Content relevance scored highest across all measures (4.61 to 4.71), indicating integration of academic rigor with practical applicability. This micro-learning approach addresses critical gaps in health care AI education through scalable, nursing-specific curriculum. The partnership model bridges academic expertise with industry relevance, providing a replicable framework for systematic workforce preparation in AI-enhanced health care delivery.
Currently, there is a growing policy and strategic emphasis on developing nursing informatics capabilities among nurses and students. Although nursing managers and educators have always emphasized the role of informatics in nursing, the cultivation of nursing informatics professionals, compared with other countries, China is still in the exploratory stage. Guided by Bloom’s revised taxonomy and competencies from the American and Canadian nursing associations, faculty from nursing, ergonomics, hospital management, and education jointly developed a one-credit elective course using a hybrid model. Online content included 6 chapters with 15 videos (258 min total), while offline sessions featured 4 discussions and 2 presentations (literature sharing and case-based design). Twelve graduate students completed the course. All achieved full scores on online tasks, with strong performance in offline assessments (25.4/30 in literature sharing; 54.6/60 in case design). Student feedback highlighted enhanced knowledge of nursing informatics, critical thinking, and interdisciplinary perspectives. These experiences support the feasibility of implementing hybrid, interdisciplinary nursing informatics curricula and provide practical insights for the development of practice-oriented graduate education in China.
Care plans are critical tools for guiding health care decisions. Integrating technology-based educational tools may enhance students’ ability to prepare these plans effectively. This study aimed to evaluate the impact of a web-based decision support system on nursing students’ skills in preparing care plans. This is an experimental study. Students in the control group used traditional paper-based methods. In contrast, those in the intervention group used a web-based decision support system to develop care plans based on provided case scenarios (Supplemental Digital Content 1, http://links.lww.com/CIN/A515). Data were collected using an inte rview form, a datasheet, a Nursing Care Plan Evaluation Case, and an N-Care evaluation form. Thematic analysis was used for qualitative data, and descriptive statistics were applied to analyze quantitative data. The experimental group achieved significantly higher care planning scores (Z = -3.041, P = .002, r = 0.475) and total scores (Z = -2.284, P = .022, r = 0.357) than the control group. Students reported positive experiences using the N-Care system and expressed interest in continued use while suggesting minor improvements. Compared to traditional teaching methods, a web-based decision support significantly improved nursing students’ ability to prepare care plans.
This study investigated the effect of virtual simulation of parenteral medication administrations on nursing students’ knowledge and skills. This randomized controlled experimental study adopted a pretest-posttest research design. The sample consisted of 103 first-year nursing students from a university. They were divided into an experimental (n=51) and a control (n=52) group. The control group received traditional education, while the experimental group logged into the simulation at “parenteralilacuygulamalari.com.tr” and did the medication administration as many times as they wanted in the virtual environment. There was no statistically significant difference in intramuscular, subcutaneous, and intravenous medication administration scores between the experimental and control groups. However, the experimental group showed a statistically significant difference between the pretest and posttest knowledge and skill scores ( P <.05). Nursing students who engage in virtual games acquire more knowledge and develop more skills.
Occupational accidents remain a critical public health concern globally and are especially prevalent in Türkiye. Integrating standardized nursing classification systems into electronic health records presents an opportunity to improve data quality, care coordination, and evidence-based decision-making. This study aimed to evaluate the clinical and informatics utility of the Omaha System, integrated into a digital electronic health records platform, for assessing and monitoring the health problems of workers hospitalized due to occupational accidents. A descriptive-longitudinal study was conducted with 45 workers admitted to an orthopedics and traumatology service in Türkiye following occupational accidents. Data were collected using a Personal Information Form and the Nightingale Notes platform, a digital electronic health records system structured around the Omaha System. The Problem Classification Scheme, Intervention Scheme, and Problem Rating Scale for Outcomes were used to identify problems, guide nursing interventions, and evaluate outcomes. The mean age of workers was 39.82±11.40 years. Hand and finger injuries were most common, affecting 75.6% of workers. Across the Problem Classification Scheme, 1274 problem entries were documented, including Neighborhood/Workplace Safety, Skin, Personal Care, Neuro-Musculoskeletal Function, Pain, and Role Change. A total of 2167 interventions were implemented, predominantly in the Teaching, Guidance, and Counseling category. Postintervention of the Problem Rating Scale for Outcomes evaluations showed statistically significant improvements in knowledge, behavior, and status ( P <.05). The Omaha System–based electronic health records demonstrated clinical effectiveness in occupational health nursing by enabling systematic assessment, targeted interventions, and structured outcome monitoring. These findings support its broader applicability in occupational health surveillance, acute care services, and the development of data-driven, precision nursing practice.
Generative artificial intelligence (AI) is transforming healthcare and nursing education with broad impacts on a variety of aspects in teaching, learning, and practice. A novel framework, SAFE CARE, [list stakeholders, state the AI prompt, outline the function, evaluate using critical thinking and judgement, reflect upon how AI augments (not replaces) human intelligence and capabilities, and ensure responsible and ethical use of AI] provides a method for operationalizing comprehensive and reflective critique of AI. Grounded in the data-information-knowledge-wisdom (DIKW) model and aligned with essential informatics and healthcare technology competencies, this novel approach focuses on key considerations to promote ethical and responsible use of AI. This framework encourages the deeper cognitive work of analyzing, synthesizing, and critically evaluating AI tools and output before proceeding to action. The benefits of this framework are not limited to students, as engagement in the steps outlined in SAFE CARE can also facilitate the development of relevant AI competencies for nurses and nurse educators. As educational and healthcare systems rapidly evolve during this transformational era of AI, SAFE CARE serves as a scalable, systems-level approach to aid nurse educators and students in developing critical capacities needed to lead confidently and competently in an AI-augmented future.
Background: Nursing documentation is essential for communication and patient safety, yet the increasing documentation requirements in EHRs have contributed to the documentation burden. Objective: To examine inpatient nurses’ perceptions of EHR-related documentation burden and identify specific documentation elements viewed as misaligned with patient care. Methods: We adapted a validated tool, the Burden of Documentation for Nurses and Midwives (BurDoNsaM), which measures nurses’ perceptions of EHR burden. The study took place at a large academic medical center in the Midwest, focusing on inpatient nurses in acute and critical care units. Results: A total of 193 participants responded to the survey, of whom 133 were included in the final analysis. Although 92% (n=122) of nurses agreed that documentation is essential for communication, 88% (n=117) reported that they primarily complete documentation for compliance rather than to support patient care. Nurses’ comments highlighted 3 recurring concerns: (1) repetitive entries; (2) care plans rated as the lowest value and perceived as disconnected from actual patient needs; and (3) the frequency of safety rounds was seen as redundant. Conclusion: Nurses value documentation but view it as a compliance task. Findings highlight pain points in nurses’ documentation and expose gaps between required documentation and meaningful clinical work. Addressing redundancy, reducing repetitive documentation, and redesigning care plans can significantly reduce the EHR burden.
