Leaders in Nursing Informatics Education and Research: The University of Utah Celebrates 25 Years.
Comput Inform Nurs. 2015 Sep;33(9):379-81
Authors: Cummins MR, Sward K, Guo JW
PMID: 26381830 [PubMed - indexed for MEDLINE]
Nursing-Centric Technology and Usability A Call to Action.
Comput Inform Nurs. 2015 Aug;33(8):325-32
Authors: Staggers N, Elias BL, Hunt JR, Makar E, Alexander GL
PMID: 26295214 [PubMed - indexed for MEDLINE]
Emergency Department Visit Forecasting and Dynamic Nursing Staff Allocation Using Machine Learning Techniques With Readily Available Open-Source Software.
Comput Inform Nurs. 2015 Aug;33(8):368-77
Authors: Zlotnik A, Gallardo-Antolín A, Cuchí Alfaro M, Pérez Pérez MC, Montero Martínez JM
Although emergency department visit forecasting can be of use for nurse staff planning, previous research has focused on models that lacked sufficient resolution and realistic error metrics for these predictions to be applied in practice. Using data from a 1100-bed specialized care hospital with 553,000 patients assigned to its healthcare area, forecasts with different prediction horizons, from 2 to 24 weeks ahead, with an 8-hour granularity, using support vector regression, M5P, and stratified average time-series models were generated with an open-source software package. As overstaffing and understaffing errors have different implications, error metrics and potential personnel monetary savings were calculated with a custom validation scheme, which simulated subsequent generation of predictions during a 4-year period. Results were then compared with a generalized estimating equation regression. Support vector regression and M5P models were found to be superior to the stratified average model with a 95% confidence interval. Our findings suggest that medium and severe understaffing situations could be reduced in more than an order of magnitude and average yearly savings of up to €683,500 could be achieved if dynamic nursing staff allocation was performed with support vector regression instead of the static staffing levels currently in use.
PMID: 26200901 [PubMed - indexed for MEDLINE]
Health Information Exchange Capabilities in Skilled Nursing Facilities.
Comput Inform Nurs. 2015 Aug;33(8):346-58
Authors: Filipova AA
The purpose of this study is to determine the levels at which health information exchange is used by skilled nursing facilities for clinical functions, the benefits and barriers associated with health information exchange and telehealth/telemonitoring capabilities, and the facility characteristics associated with health information exchange capabilities. A cross-sectional design was implemented. Data were collected from nursing home administrators, using a mail and online survey approach. A total of 156 usable questionnaires were returned of 397 distributed—a 39.30% response rate. The highest level of electronic exchange for clinical functions was within the facility than within corporation/affiliated organization or with nonaffiliated providers. It was also more prevalent in for-profit skilled nursing facilities than nonprofit skilled nursing facilities. More than half of the facilities reported no electronic exchange for functions, such as public health reporting, diagnostic test orders/results, medical orders/e-prescribing, advance directives, lab orders/results, and radiology orders/ results. Similarly, telehealth/telemonitoring was not in wide use by facilities in the state. The greatest barriers to electronic exchange of clinical functions were financial barriers, technological barriers, and connectivity barriers. Faster and accurate billing, improved care planning, and improved quality of documentation were reported as benefits of electronic information exchange of clinical data with affiliated and nonaffiliated providers.
PMID: 26200900 [PubMed - indexed for MEDLINE]
Perspectives of Nurses and Patients on Call Light Technology.
Comput Inform Nurs. 2015 Aug;33(8):359-67
Authors: Galinato J, Montie M, Patak L, Titler M
Call lights are prevalent in inpatient healthcare facilities across the nation. While call light use directly influences the delivery of nursing care, there remain significant gaps both in research and technology that can affect the quality of care and patient satisfaction. This study examines nurse and patient perceptions of the use of a new call communication solution, Eloquence, in the acute care inpatient setting. Eighteen patients were recruited for the study and participated in individual semistructured interviews during their hospital stay. Eighteen nurses were recruited and participated in focus groups for this study. Qualitative descriptive methods were used to analyze the data. Results revealed themes of usability, improved communication, and suggestions for improvement to the alpha prototype design. After a demonstration of the use and capability of Eloquence, nurse and patient participants found Eloquence as a welcomed advancement in nurse call technology that has the potential to improve workflow and patient outcomes. In addition, the participants also proposed ideas on how to further develop the technology to improve its use.
PMID: 26176639 [PubMed - indexed for MEDLINE]
Cognitive Workload of Computerized Nursing Process in Intensive Care Units.
Comput Inform Nurs. 2015 Aug;33(8):339-45; quiz E1
Authors: Dal Sasso GM, Barra DC
The aim of this work was to measure the cognitive workload to complete printed nursing process versus computerized nursing process from International Classification Practice of Nursing in intensive care units. It is a quantitative, before-and-after quasi-experimental design, with a sample of 30 participants. Workload was assessed using National Aeronautics and Space Administration Task-Load Index. Six cognitive categories were measured. The "temporal demand" was the largest contributor to the cognitive workload, and the role of the nursing process in the "performance" category has excelled that of computerized nursing process. It was concluded that computerized nursing process contributes to lower cognitive workload of nurses for being a support system for decision making based on the International Classification Practice of Nursing. The computerized nursing process as a logical structure of the data, information, diagnoses, interventions and results become a reliable option for health improvement of healthcare, because it can enhance nurse safe decision making, with the intent to reduce damage and adverse events to patients in intensive care.
PMID: 26061562 [PubMed - indexed for MEDLINE]
A Novel Approach to Surgical Instructions for Scrub Nurses by Using See-Through-Type Head-Mounted Display.
Comput Inform Nurs. 2015 Aug;33(8):335-8
Authors: Yoshida S, Sasaki A, Sato C, Yamazaki M, Takayasu J, Tanaka N, Okabayashi N, Hirano H, Saito K, Fujii Y, Kihara K
In order to facilitate assists in surgical procedure, it is important for scrub nurses to understand the operation procedure and to share the operation status with attending surgeons. The potential utility of head-mounted display as a new imaging monitor has been proposed in the medical field. This study prospectively evaluated the usefulness of see-through-type head-mounted display as a novel intraoperative instructional tool for scrub nurses. From January to March 2014, scrub nurses who attended gasless laparoendoscopic single-port radical nephrectomy and radical prostatectomy wore the monocular see-through-type head-mounted display (AiRScouter; Brother Industries Ltd, Nagoya, Japan) displaying the instruction of the operation procedure through a crystal panel in front of the eye. Following the operation, the participants completed an anonymous questionnaire, which evaluated the image quality of the head-mounted display, the helpfulness of the head-mounted display to understand the operation procedure, and adverse effects caused by the head-mounted display. Fifteen nurses were eligible for the analysis. The intraoperative use of the head-mounted display could help scrub nurses to understand the surgical procedure and to hand out the instruments for the operation with no major head-mounted-display wear-related adverse event. This novel approach to support scrub nurses will help facilitate technical and nontechnical skills during surgery.
PMID: 26018576 [PubMed - indexed for MEDLINE]
A Multidisciplinary Collaborative Web Site for Cardiovascular Surgery.
Comput Inform Nurs. 2015 Jul;33(7):273-7
Authors: Fredericks S
PMID: 26181305 [PubMed - indexed for MEDLINE]
Nurses' Clinical Decision Making on Adopting a Wound Clinical Decision Support System.
Comput Inform Nurs. 2015 Jul;33(7):295-305
Authors: Khong PC, Hoi SY, Holroyd E, Wang W
Healthcare information technology systems are considered the ideal tool to inculcate evidence-based nursing practices. The wound clinical decision support system was built locally to support nurses to manage pressure ulcer wounds in their daily practice. However, its adoption rate is not optimal. The study's objective was to discover the concepts that informed the RNs' decisions to adopt the wound clinical decision support system as an evidence-based technology in their nursing practice. This was an exploratory, descriptive, and qualitative design using face-to-face interviews, individual interviews, and active participatory observation. A purposive, theoretical sample of 14 RNs was recruited from one of the largest public tertiary hospitals in Singapore after obtaining ethics approval. After consenting, the nurses were interviewed and observed separately. Recruitment stopped when data saturation was reached. All transcribed interview data underwent a concurrent thematic analysis, whereas observational data were content analyzed independently and subsequently triangulated with the interview data. Eight emerging themes were identified, namely, use of the wound clinical decision support system, beliefs in the wound clinical decision support system, influences of the workplace culture, extent of the benefits, professional control over nursing practices, use of knowledge, gut feelings, and emotions (fear, doubt, and frustration). These themes represented the nurses' mental outlook as they made decisions on adopting the wound clinical decision support system in light of the complexities of their roles and workloads. This research has provided insight on the nurses' thoughts regarding their decision to interact with the computer environment in a Singapore context. It captured the nurses' complex thoughts when deciding whether to adopt or reject information technology as they practice in a clinical setting.
PMID: 26066306 [PubMed - indexed for MEDLINE]
Integrating Problem-Based Learning and Simulation: Effects on Student Motivation and Life Skills.
Comput Inform Nurs. 2015 Jul;33(7):278-84
Authors: Roh YS, Kim SS
Previous research has suggested that a teaching strategy integrating problem-based learning and simulation may be superior to traditional lecture. The purpose of this study was to assess learner motivation and life skills before and after taking a course involving problem-based learning and simulation. The design used repeated measures with a convenience sample of 83 second-year nursing students who completed the integrated course. Data from a self-administered questionnaire measuring learner motivation and life skills were collected at pretest, post-problem-based learning, and post-simulation time points. Repeated-measures analysis of variance determined that the mean scores for total learner motivation (F=6.62, P=.003), communication (F=8.27, P<.001), problem solving (F=6.91, P=.001), and self-directed learning (F=4.45, P=.016) differed significantly between time points. Post hoc tests using the Bonferroni correction revealed that total learner motivation and total life skills significantly increased both from pretest to postsimulation and from post-problem-based learning test to postsimulation test. Subscales of learner motivation and life skills, intrinsic goal orientation, self-efficacy for learning and performance, problem-solving skills, and self-directed learning skills significantly increased both from pretest to postsimulation test and from post-problem-based learning test to post-simulation test. The results demonstrate that an integrating problem-based learning and simulation course elicits significant improvement in learner motivation and life skills. Simulation plus problem-based learning is more effective than problem-based learning alone at increasing intrinsic goal orientation, task value, self-efficacy for learning and performance, problem solving, and self-directed learning.
PMID: 26066305 [PubMed - indexed for MEDLINE]
Electronic Personal Health Record Use Among Nurses in the Nursing Informatics Community.
Comput Inform Nurs. 2015 Jul;33(7):306-14
Authors: Gartrell K, Trinkoff AM, Storr CL, Wilson ML
An electronic personal health record is a patient-centric tool that enables patients to securely access, manage, and share their health information with healthcare providers. It is presumed the nursing informatics community would be early adopters of electronic personal health record, yet no studies have been identified that examine the personal adoption of electronic personal health record's for their own healthcare. For this study, we sampled nurse members of the American Medical Informatics Association and the Healthcare Information and Management Systems Society with 183 responding. Multiple logistic regression analysis was used to identify those factors associated with electronic personal health record use. Overall, 72% were electronic personal health record users. Users tended to be older (aged >50 years), be more highly educated (72% master's or doctoral degrees), and hold positions as clinical informatics specialists or chief nursing informatics officers. Those whose healthcare providers used electronic health records were significantly more likely to use electronic personal health records (odds ratio, 5.99; 95% confidence interval, 1.40-25.61). Electronic personal health record users were significantly less concerned about privacy of health information online than nonusers (odds ratio, 0.32; 95% confidence interval, 0.14-0.70) adjusted for ethnicity, race, and practice region. Informatics nurses, with their patient-centered view of technology, are in prime position to influence development of electronic personal health records. Our findings can inform policy efforts to encourage informatics and other professional nursing groups to become leaders and users of electronic personal health record; such use could help them endorse and engage patients to use electronic personal health records. Having champions with expertise in and enthusiasm for the new technology can promote the adoptionof electronic personal health records among healthcare providers as well as their patients.
PMID: 26061563 [PubMed - indexed for MEDLINE]
Adaptation and Evaluation of Online Self-learning Modules to Teach Critical Appraisal and Evidence-Based Practice in Nursing: An International Collaboration.
Comput Inform Nurs. 2015 Jul;33(7):285-94; quiz E1
Authors: Gagnon J, Gagnon MP, Buteau RA, Azizah GM, Jetté S, Lampron A, Simonyan D, Asua J, Reviriego E
Healthcare professionals need to update their knowledge and acquire skills to continually inform their practice based on scientific evidence. This study was designed to evaluate online self-learning modules on critical appraisal skills to promote the use of research in clinical practice among nurses from Quebec (Canada) and the Basque Country (Spain). The teaching material was developed in Quebec and adapted to the Basque Country as part of an international collaboration project. A prospective pre-post study was conducted with 36 nurses from Quebec and 47 from the Basque Country. Assessment comprised the administration of questionnaires before and after the course in order to explore the main intervention outcomes: knowledge acquisition and self-learning readiness. Satisfaction was also measured at the end of the course. Two of the three research hypotheses were confirmed: (1) participants significantly improved their overall knowledge score after the educational intervention; and (2) they were, in general, satisfied with the course, giving it a rating of seven out of 10. Participants also reported a greater readiness for self-directed learning after the course, but this result was not significant in Quebec. The study provides unique knowledge on the cultural adaptation of online self-learning modules for teaching nurses about critical appraisal skills and evidence-based practice.
PMID: 25978538 [PubMed - indexed for MEDLINE]
Nursing Needs Big Data and Big Data Needs Nursing.
J Nurs Scholarsh. 2015 Sep;47(5):477-84
Authors: Brennan PF, Bakken S
PURPOSE: Contemporary big data initiatives in health care will benefit from greater integration with nursing science and nursing practice; in turn, nursing science and nursing practice has much to gain from the data science initiatives. Big data arises secondary to scholarly inquiry (e.g., -omics) and everyday observations like cardiac flow sensors or Twitter feeds. Data science methods that are emerging ensure that these data be leveraged to improve patient care.
ORGANIZING CONSTRUCT: Big data encompasses data that exceed human comprehension, that exist at a volume unmanageable by standard computer systems, that arrive at a velocity not under the control of the investigator and possess a level of imprecision not found in traditional inquiry. Data science methods are emerging to manage and gain insights from big data.
METHODS: The primary methods included investigation of emerging federal big data initiatives, and exploration of exemplars from nursing informatics research to benchmark where nursing is already poised to participate in the big data revolution. We provide observations and reflections on experiences in the emerging big data initiatives.
CONCLUSIONS: Existing approaches to large data set analysis provide a necessary but not sufficient foundation for nursing to participate in the big data revolution. Nursing's Social Policy Statement guides a principled, ethical perspective on big data and data science. There are implications for basic and advanced practice clinical nurses in practice, for the nurse scientist who collaborates with data scientists, and for the nurse data scientist.
CLINICAL RELEVANCE: Big data and data science has the potential to provide greater richness in understanding patient phenomena and in tailoring interventional strategies that are personalized to the patient.
PMID: 26287646 [PubMed - indexed for MEDLINE]
Nursing undergraduates' technical competence in informatics.
Rev Esc Enferm USP. 2011 Dec;45 Spec No:1595-9
Authors: Cruz NS, Soares DK, Bernardes A, Gabriel CS, Pereira MC, Evora YD
Nurses in the information age need to build their knowledge and abilities in order to be competent in this area. The objective of this study was to verify the knowledge of nursing freshmen (1st semester) and seniors (8th semester) registered in 2008 and 2007, respectively, regarding their ability to use informatics resources. This is a non-experimental, descriptive, exploratory survey. Data collection was performed using a questionnaire based on a set of competences in informatics. The results revealed a low rate of informatics knowledge among the freshmen. However, regarding the applications that students had the most difficulty to operate, between the two periods, seniors had the worst performance, which shows it is necessary to include computer classes in the preparation of these new professional, in order to prepare them for the work market.
PMID: 22282067 [PubMed - indexed for MEDLINE]
Developing Online Communities with LAMP (Linux, Apache, MySQL, PHP) - the IMIA OSNI and CHIRAD Experiences.
Stud Health Technol Inform. 2005;116:361-6
Authors: Murray PJ, Oyri K
Many health informatics organisations do not seem to use, on a practical basis, for the benefit of their activities and interaction with their members, the very technologies that they often promote for use within healthcare environments. In particular, many organisations seem to be slow to take up the benefits of interactive web technologies. This paper presents an introduction to some of the many free/libre and open source (FLOSS) applications currently available and using the LAMP - Linux, Apache, MySQL, PHP architecture - as a way of cheaply deploying reliable, scalable, and secure web applications. The experience of moving to applications using LAMP architecture, in particular that of the Open Source Nursing Informatics (OSNI) Working Group of the Special Interest Group in Nursing Informatics of the International Medical Informatics Association (IMIA-NI), in using PostNuke, a FLOSS Content Management System (CMS) illustrates many of the benefits of such applications. The experiences of the authors in installing and maintaining a large number of websites using FLOSS CMS to develop dynamic, interactive websites that facilitate real engagement with the members of IMIA-NI OSNI, the IMIA Open Source Working Group, and the Centre for Health Informatics Research and Development (CHIRAD), as well as other organisations, is used as the basis for discussing the potential benefits that could be realised by others within the health informatics community.
PMID: 16160284 [PubMed - indexed for MEDLINE]
You mean the Twitter nurse?
Nurs Times. 2016 Feb 10-23;112(6-7):26
Authors: Middleton J
PMID: 27017654 [PubMed - indexed for MEDLINE]
Teaching and Learning About Big Data: Start Small.
Nurse Educ. 2015 Nov-Dec;40(6):297
Authors: Jackson A
PMID: 26479357 [PubMed - indexed for MEDLINE]
A robust social and professional connection between master educator and Doctor of Nursing Practice (DNP) student instructor: Virtual mentoring and preceptorship via distance education.
Nurse Educ Today. 2015 May;35(5):696-9
Authors: Rand ML, Pajarillo EJ
PMID: 25721410 [PubMed - indexed for MEDLINE]
Nursing Clinical Documentation System Structured on NANDA-I, NOC, and NIC Classification Systems.
Stud Health Technol Inform. 2015;216:943
Authors: Peres HH, de Almeida Lopes M da Cruz D, Tellez M, de Cassia Gengo e Silva R, dos S Diogo RC, Ortiz DC, Ortiz DR
Information is a key feature that health professionals need to exercise their profession with efficiency and quality. This study aims to present the experience of the usage of an electronic system for clinical documentation in nursing in a university hospital. It is a methodological research of technology production. The system was developed in four phases: Conception, Elaboration, Construction, and Transition, and was named Electronic Documentation System of the University of São Paulo Nursing Process (PROCEnf-USP™). The knowledge base of PROCEnf-USP™ was organized in hierarchy of domains and classes, according to NNN linkages.
PMID: 26262245 [PubMed - indexed for MEDLINE]
Integrating emerging areas of nursing science into PhD programs.
Nurs Outlook. 2015 Jul-Aug;63(4):408-16
Authors: Henly SJ, McCarthy DO, Wyman JF, Stone PW, Redeker NS, McCarthy AM, Alt-White AC, Dunbar-Jacob J, Titler MG, Moore SM, Heitkemper MM, Conley YP
The Council for the Advancement of Nursing Science aims to "facilitate and recognize life-long nursing science career development" as an important part of its mission. In light of fast-paced advances in science and technology that are inspiring new questions and methods of investigation in the health sciences, the Council for the Advancement of Nursing Science convened the Idea Festival for Nursing Science Education and appointed the Idea Festival Advisory Committee to stimulate dialogue about linking PhD education with a renewed vision for preparation of the next generation of nursing scientists. Building on the 2010 American Association of Colleges of Nursing Position Statement "The Research-Focused Doctoral Program in Nursing: Pathways to Excellence," Idea Festival Advisory Committee members focused on emerging areas of science and technology that impact the ability of research-focused doctoral programs to prepare graduates for competitive and sustained programs of nursing research using scientific advances in emerging areas of science and technology. The purpose of this article is to describe the educational and scientific contexts for the Idea Festival, which will serve as the foundation for recommendations for incorporating emerging areas of science and technology into research-focused doctoral programs in nursing.
PMID: 26187080 [PubMed - indexed for MEDLINE]