Faculty and organizational characteristics associated with informatics/health information technology adoption in DNP programs.
J Prof Nurs. 2014 Jul-Aug;30(4):292-9
Authors: Fulton CR, Meek JA, Walker PH
Nursing informatics/health information technology are key components of graduate nursing education and an accreditation requirement, yet little is known about the extent to which doctor of nursing practice (DNP) curricula include these content domains. The purpose of this descriptive study was to elicit perceptions of DNP program directors relative to (a) whether and how the American Association of Colleges of Nursing's (AACN's) Essential IV standard has been met in their DNP programs; (b) whether the Technology Informatics Guiding Educational Reform Initiative Foundation's Phase II competencies have been integrated in their programs; and (c) the faculty and organizational characteristics associated with the adoption of the AACN's Essential IV. In 2011, an electronic survey was sent to all 138 DNP program directors identified on the AACN Web site with an 81.2% response rate. Findings include variation in whether and how programs have integrated informatics/health information technology content, a lack of informatics-certified and/or master's-prepared faculty, and a perceived lack of faculty awareness of informatics curricular guidelines. DNP program director and dean awareness and support of faculty informatics education, use of informatics competency guidelines, and national policy and stimulus funding support are recommended to promote curricular inclusion and the engagement of nurses in strong informatics practices.
PMID: 25150414 [PubMed - indexed for MEDLINE]
Big data, data science, and big contributions.
Nurs Outlook. 2016 Mar-Apr;64(2):113-4
Authors: Broome ME
PMID: 26968085 [PubMed - indexed for MEDLINE]
Advanced nursing practice and research contributions to precision medicine.
Nurs Outlook. 2016 Mar-Apr;64(2):117-23
Authors: Williams JK, Katapodi MC, Starkweather A, Badzek L, Cashion AK, Coleman B, Fu MR, Lyon D, Weaver MT, Hickey KT
BACKGROUND: Genomic discoveries in the era of precision medicine hold the promise for tailoring healthcare, symptom management, and research efforts including targeting rare and common diseases through the identification and implementation of genomic-based risk assessment, treatment, and management. However, the translation of these discoveries into tangible benefits for the health of individuals, families, and the public is evolving.
PURPOSE: In this article, members of the Genetics Expert Panel identify opportunities for action to increase advanced practice nursing and research contributions toward improving genomic health for all individuals and populations.
DISCUSSION: Identified opportunities are within the areas of: bolstering genomic focused advanced practice registered nurse practice, research and education efforts; deriving new knowledge about disease biology, risk assessment, treatment efficacy, drug safety and self-management; improving resources and systems that combine genomic information with other healthcare data; and advocating for patient and family benefits and equitable access to genomic healthcare resources.
PMID: 26712384 [PubMed - indexed for MEDLINE]
Toward Interoperability: A New Resource to Support Nursing Terminology Standards.
Comput Inform Nurs. 2015 Dec;33(12):515-9
Authors: Warren JJ, Matney SA, Foster ED, Auld VA, Roy SL
PMID: 26678815 [PubMed - indexed for MEDLINE]
Nursing students' knowledge and practices of standard precautions: A Jordanian web-based survey.
Nurse Educ Today. 2015 Dec;35(12):1175-80
Authors: AL-Rawajfah OM, Tubaishat A
BACKGROUND: The main purpose of this web-based survey was to evaluate Jordanian nursing students' knowledge and practice of standard precautions.
METHODS: A cross-sectional, descriptive design was used. Six public and four private Jordanian universities were invited to participate in the study. Approximately, seventeen hundred nursing students in the participating universities were invited via the students' portal on the university electronic system. For schools without an electronic system, students received invitations sent to their personal commercial email.
RESULTS: The final sample size was 594 students; 65.3% were female with mean age of 21.2 years (SD=2.6). The majority of the sample was 3rd year students (42.8%) who had no previous experience working as nurses (66.8%). The mean total knowledge score was 13.8 (SD=3.3) out of 18. On average, 79.9% of the knowledge questions were answered correctly. The mean total practice score was 67.4 (SD=9.9) out of 80. There was no significant statistical relationship between students' total knowledge and total practice scores (r=0.09, p=0.032).
CONCLUSION: Jordanian nursing educators are challenged to introduce different teaching modalities to effectively translate theoretical infection control knowledge into safe practices.
PMID: 26043655 [PubMed - indexed for MEDLINE]
Nursing Knowledge: 2015 Big Data Science.
Comput Inform Nurs. 2015 Oct;33(10):427-31
Authors: Westra BL, Pruinelli L, Delaney CW
PMID: 26468968 [PubMed - indexed for MEDLINE]
Data Visualization Techniques to Showcase Nursing Care Quality.
Comput Inform Nurs. 2015 Oct;33(10):417-26
Authors: Monsen KA, Peterson JJ, Mathiason MA, Kim E, Lee S, Chi CL, Pieczkiewicz DS
PMID: 26468967 [PubMed - indexed for MEDLINE]
Usability of the Clinical Care Classification System for Representing Nursing Practice According to Specialty.
Comput Inform Nurs. 2015 Oct;33(10):448-55
Authors: Feng RC, Chang P
This study examined the ability of the Clinical Care Classification system to represent nursing record data across various nursing specialties. The data comprised nursing care plan records from December 1998 to October 2008 in a medical center. The total number of care plan documentation we analyzed was 2 060 178, and we used a process of knowledge discovery in datasets for data analysis. The results showed that 75.42% of the documented diagnosis terms could be mapped using the Clinical Care Classification system. However, a difference in nursing terminology emerged among various nursing specialties, ranging from 0.1% for otorhinolaryngology to 100% for colorectal surgery and plastic surgery. The top five nursing diagnoses were identified as knowledge deficit, acute pain, infection risk, falling risk, and bleeding risk, which were the most common health problems in an acute care setting but not in non-acute care settings. Overall, we identified a total of 21 established nursing diagnoses, which we recommend adding to the Clinical Care Classification system, most of which are applicable to emergency and intensive care specialties. Our results show that Clinical Care Classification is useful for documenting patient's problems in an acute setting, but we suggest adding new diagnoses to identify health problems in specialty settings.
PMID: 26418298 [PubMed - indexed for MEDLINE]
Use of Simulation to Study Nurses' Acceptance and Nonacceptance of Clinical Decision Support Suggestions.
Comput Inform Nurs. 2015 Oct;33(10):465-72
Authors: Sousa VE, Lopez KD, Febretti A, Stifter J, Yao Y, Johnson A, Wilkie DJ, Keenan GM
Our long-term goal was to ensure nurse clinical decision support works as intended before full deployment in clinical practice. As part of a broader effort, this pilot project explored factors influencing acceptance/nonacceptance of eight clinical decision support suggestions displayed in an electronic health record-based nursing plan of care software prototype. A diverse sample of 21 nurses participated in this high-fidelity clinical simulation experience and completed a questionnaire to assess reasons for accepting/not accepting the clinical decision support suggestions. Of 168 total suggestions displayed during the experiment (eight for each of the 21 nurses), 123 (73.2%) were accepted, and 45 (26.8%) were not accepted. The mode number of acceptances by nurses was seven of eight, with only two of 21 nurses accepting all. The main reason for clinical decision support acceptance was the nurse's belief that the suggestions were good for the patient (100%), with other features providing secondary reinforcement. Reasons for nonacceptance were less clear, with fewer than half of the subjects indicating low confidence in the evidence. This study provides preliminary evidence that high-quality simulation and targeted questionnaires about specific clinical decision support selections offer a cost-effective means for testing before full deployment in clinical practice.
PMID: 26361268 [PubMed - indexed for MEDLINE]
Factors Affecting Nursing Students' Readiness and Perceptions Toward the Use of Mobile Technologies for Learning.
Comput Inform Nurs. 2015 Oct;33(10):456-64
Authors: Zayim N, Ozel D
The purpose of this study was to determine the current usage of mobile devices, preferences of mobile learning environments and examine the readiness of nursing students in a public university. In order to investigate preferences and attitudes with respect to mobile technology use in nursing education, 387 students at a state university have been surveyed. It has been observed that while students preferred their current portable laptops, those in higher classes were more inclined to favor mobile phones. The common problems of battery life and high cost of communication, both in smartphones and tablet systems, suggest that hardware quality and financial constraints seem to be two main factors in determining these technologies. While more than half of students expressed readiness for mobile learning, one quarter indicated indecision. Through multivariate regression analysis, readiness to use mobile learning can be described in terms of perceived ease of use, perceived usefulness, personal innovativeness, self-management of learning, perceived device limitation, and availability. Class level, perceived ease of use, personal innovativeness, and self-management of learning explain intention to use mobile learning. Findings obtained from these results can provide guidance in the development and application of mobile learning systems.
PMID: 26200902 [PubMed - indexed for MEDLINE]
Using the Technology: Introducing Point of View Video Glasses Into the Simulated Clinical Learning Environment.
Comput Inform Nurs. 2015 Oct;33(10):443-7; quiz E1
Authors: Metcalfe H, Jonas-Dwyer D, Saunders R, Dugmore H
The introduction of learning technologies into educational settings continues to grow alongside the emergence of innovative technologies into the healthcare arena. The challenge for health professionals such as medical, nursing, and allied health practitioners is to develop an improved understanding of these technologies and how they may influence practice and contribute to healthcare. For nurse educators to remain contemporary, there is a need to not only embrace current technologies in teaching and learning but to also ensure that students are able to adapt to this changing pedagogy. One recent technological innovation is the use of wearable computing technology, consisting of video recording with the capability of playback analysis. The authors of this article discuss the introduction of the use of wearable Point of View video glasses by a cohort of nursing students in a simulated clinical learning laboratory. Of particular interest was the ease of use of the glasses, also termed the usability of this technology, which is central to its success. Students' reflections were analyzed together with suggestions for future use.
PMID: 26176638 [PubMed - indexed for MEDLINE]
CaseWorld: Authentic Case-Based Learning Simulating Healthcare Practice.
Comput Inform Nurs. 2015 Oct;33(10):436-42
Authors: Tucker K, Parker S, Gillham D, Wright V, Cornell J
Health educators in Australia are challenged by the need to provide clinically relevant education to large numbers of students across a wide range of specialties. This situation is compounded by changed student demographics, new technologies in both the workplace and university, and decreased access to clinical placement opportunities for students. This article describes an innovative response addressing nurse education priorities and implemented in the School of Nursing at Flinders University South Australia, involving the development of CaseWorld, a prototype virtual case-based learning environment. CaseWorld implementation was unique because large-scale innovation occurred as part of routine curriculum development. This was challenging as there was limited opportunity for prototype evaluation before student use, thus necessitating a flexible implementation process. The outcome was the development of scripted unfolding cases that provide students with low-fidelity simulation enhanced by multimedia. Students engage with cases based on real patient experiences, which are modified to protect confidentiality. These authentic cases provide the basis for the development of critical-thinking and decision-making skills as students problem solve issues and identify priorities for nursing care, explain the pathophysiology, and respond to simulated patient complaints. CaseWorld was modified in response to evaluation data from surveys and focus groups, and the revised version is discussed in terms of its implementation in nursing and planned use across multiple health sciences disciplines.
PMID: 26176635 [PubMed - indexed for MEDLINE]
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]