nursing informatics

NENIC's 2018 Trends in Clinical Informatics: A Nurse's Perspective.

NLM - Nursing Informatics - 9 hours 53 min ago
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NENIC's 2018 Trends in Clinical Informatics: A Nurse's Perspective.

Comput Inform Nurs. 2018 Aug;36(8):372-375

Authors: Kennedy M

PMID: 30095572 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Missing Data, Data Cleansing, and Treatment From a Primary Study: Implications for Predictive Models.

NLM - Nursing Informatics - 9 hours 53 min ago
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Missing Data, Data Cleansing, and Treatment From a Primary Study: Implications for Predictive Models.

Comput Inform Nurs. 2018 Aug;36(8):367-371

Authors: Koszalinski R, Tansakul V, Khojandi A, Li X

PMID: 30095571 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Nursing Informatics Year in Review 2017.

NLM - Nursing Informatics - Thu, 2019-04-18 12:12
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Nursing Informatics Year in Review 2017.

Nurs Adm Q. 2018 Apr/Jun;42(2):180-185

Authors: Carrington JM, Estrada N, Brittain AC, Dudding KM, Galatzan BJ, Nibbelink C, Rasmussen RJ, Roberts ML, Renz SM

PMID: 29494454 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

School Nursing Practice in the United States: An Introduction to NASN Infographics.

NLM - Nursing Informatics - Tue, 2019-04-16 12:11
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School Nursing Practice in the United States: An Introduction to NASN Infographics.

NASN Sch Nurse. 2018 07;33(4):239-243

Authors: Willgerodt MA

PMID: 29878861 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Turning Health Systems Data Into Actionable Information.

NLM - Nursing Informatics - Wed, 2019-04-10 12:07
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Turning Health Systems Data Into Actionable Information.

J Nurs Adm. 2019 Apr;49(4):176-178

Authors: Nelson-Brantley HV, Jenkins P, Chipps E

Abstract
Health systems produce vast amounts of complex, multidimensional data. Health systems nurse leaders, informaticians, and nurse researchers must partner to turn these data into actionable information to drive quality clinical outcomes. The authors review health systems in the era of big data, identify opportunities for health systems-nursing research partnerships, and introduce emerging approaches to data science education in nursing.

PMID: 30882607 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Filipino Nurses' Use of Smartphones in Clinical Settings.

NLM - Nursing Informatics - Wed, 2019-04-10 12:07
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Filipino Nurses' Use of Smartphones in Clinical Settings.

Comput Inform Nurs. 2019 Feb;37(2):80-89

Authors: Bautista JR

Abstract
While previous research has examined specific ways that nurses have used smartphones for work purposes in clinical settings, large-sample quantitative studies are limited, particularly in Asia. To address this research gap, this study provided a ranking on how nurses have used their smartphones for work purposes in clinical settings and identified differences based on demographic and organizational factors. In January to June 2017, a pen-and-paper survey was administered to 517 staff nurses employed in 19 tertiary-level general hospitals in Metro Manila, Philippines. Results show that nurses frequently used their smartphones to exchange voice calls and text messages with other nurses and doctors. Results also showed that specific items reflecting the use of smartphones for communication purposes differed according to gender, age, hospital ownership, nursing area, number of patients handled in last shift, and presence of a hospital-provided mobile phone. Next, some items for information-seeking purposes differed according to highest educational attainment and years of clinical experience. Moreover, some items for documentation purposes differed according to age, hospital ownership, and number of patients handled in last shift. Overall, the results of this study can be used to guide policies on the use of smartphones in clinical settings.

PMID: 30299305 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

The Importance of Informatics in Perinatal Nursing.

NLM - Nursing Informatics - Sat, 2019-04-06 12:04
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The Importance of Informatics in Perinatal Nursing.

J Obstet Gynecol Neonatal Nurs. 2017 Mar - Apr;46(2):282-283

Authors: Ivory CH

PMID: 28061326 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

What's Up With Step Up!? Year 2!

NLM - Nursing Informatics - Sat, 2019-03-16 13:51
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What's Up With Step Up!? Year 2!

NASN Sch Nurse. 2017 03;32(2):100-105

Authors: Johnson KH, Maughan E, Bergren MD, Wolfe LC, Cole M, Watts HE

PMID: 28225660 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Usability Evaluation of a Dashboard for Home Care Nurses.

NLM - Nursing Informatics - Fri, 2019-03-15 13:51
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Usability Evaluation of a Dashboard for Home Care Nurses.

Comput Inform Nurs. 2019 Jan;37(1):11-19

Authors: Dowding D, Merrill JA, Barrón Y, Onorato N, Jonas K, Russell D

Abstract
The introduction of electronic health records has produced many challenges for clinicians. These include integrating technology into clinical workflow and fragmentation of relevant information across systems. Dashboards, which use visualized data to summarize key patient information, have the potential to address these issues. In this article, we outline a usability evaluation of a dashboard designed for home care nurses. An iterative design process was used, which consisted of (1) contextual inquiry (observation and interviews) with two home care nurses; (2) rapid feedback on paper prototypes of the dashboard (10 nurses); and (3) usability evaluation of the final dashboard prototype (20 nurses). Usability methods and assessments included observation of nurses interacting with the dashboard, the system usability scale, and the Questionnaire for User Interaction Satisfaction short form. The dashboard prototype was deemed to have high usability (mean system usability scale, 73.2 [SD, 18.8]) and was positively evaluated by nurse users. It is important to ensure that technology solutions such as the one proposed in this article are designed with clinical users in mind, to meet their information needs. The design elements of the dashboard outlined in this article could be translated to other electronic health records used in home care settings.

PMID: 30394879 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

A conceptual framework for interdisciplinary education in engineering and nursing health informatics.

NLM - Nursing Informatics - Wed, 2019-03-13 16:50
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A conceptual framework for interdisciplinary education in engineering and nursing health informatics.

Nurse Educ Today. 2019 Mar;74:91-93

Authors: Kim HN

Abstract
This paper discusses a conceptual framework for an interdisciplinary education in engineering and nursing health informatics. A team with diverse scientific backgrounds and perspectives is anticipated to effectively and efficiently address healthcare systems problems, which can be facilitated by highly integrated and interactive team settings. Nursing students, for example, are in the best position to assess the functional health status and technology needs of patients and health professionals given their close interactions with them. On the other hand, engineering students have skills and knowledge needed to develop a fully functioning technology intervention. The students in engineering and healthcare majors will be able to help each other to obtain a deeper understanding about clinical perspective and technology intervention designs to address adequately healthcare systems problems today via the interdisciplinary educational setting.

PMID: 30639937 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Data and the Nurse: Combining Expertise in Clinical Domains and Data Analytics.

NLM - Nursing Informatics - Wed, 2019-02-20 16:37
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Data and the Nurse: Combining Expertise in Clinical Domains and Data Analytics.

Clin Nurse Spec. 2018 Nov/Dec;32(6):296-298

Authors: Bryson Black C, Alexander S

PMID: 30299331 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Nursing Theory, Terminology, and Big Data: Data-Driven Discovery of Novel Patterns in Archival Randomized Clinical Trial Data.

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Nursing Theory, Terminology, and Big Data: Data-Driven Discovery of Novel Patterns in Archival Randomized Clinical Trial Data.

Nurs Res. 2018 Mar/Apr;67(2):122-132

Authors: Monsen KA, Kelechi TJ, McRae ME, Mathiason MA, Martin KS

Abstract
BACKGROUND: The growth and diversification of nursing theory, nursing terminology, and nursing data enable a convergence of theory- and data-driven discovery in the era of big data research. Existing datasets can be viewed through theoretical and terminology perspectives using visualization techniques in order to reveal new patterns and generate hypotheses. The Omaha System is a standardized terminology and metamodel that makes explicit the theoretical perspective of the nursing discipline and enables terminology-theory testing research.
OBJECTIVE: The purpose of this paper is to illustrate the approach by exploring a large research dataset consisting of 95 variables (demographics, temperature measures, anthropometrics, and standardized instruments measuring quality of life and self-efficacy) from a theory-based perspective using the Omaha System. Aims were to (a) examine the Omaha System dataset to understand the sample at baseline relative to Omaha System problem terms and outcome measures, (b) examine relationships within the normalized Omaha System dataset at baseline in predicting adherence, and (c) examine relationships within the normalized Omaha System dataset at baseline in predicting incident venous ulcer.
METHODS: Variables from a randomized clinical trial of a cryotherapy intervention for the prevention of venous ulcers were mapped onto Omaha System terms and measures to derive a theoretical framework for the terminology-theory testing study. The original dataset was recoded using the mapping to create an Omaha System dataset, which was then examined using visualization to generate hypotheses. The hypotheses were tested using standard inferential statistics. Logistic regression was used to predict adherence and incident venous ulcer.
RESULTS: Findings revealed novel patterns in the psychosocial characteristics of the sample that were discovered to be drivers of both adherence (Mental health Behavior: OR = 1.28, 95% CI [1.02, 1.60]; AUC = .56) and incident venous ulcer (Mental health Behavior: OR = 0.65, 95% CI [0.45, 0.93]; Neuro-musculo-skeletal function Status: OR = 0.69, 95% CI [0.47, 1.00]; male: OR = 3.08, 95% CI [1.15, 8.24]; not married: OR = 2.70, 95% CI [1.00, 7.26]; AUC = .76).
DISCUSSION: The Omaha System was employed as ontology, nursing theory, and terminology to bridge data and theory and may be considered a data-driven theorizing methodology. Novel findings suggest a relationship between psychosocial factors and incident venous ulcer outcomes. There is potential to employ this method in further research, which is needed to generate and test hypotheses from other datasets to extend scientific investigations from existing data.

PMID: 29489633 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Nursing students' learning dynamics with clinical information and communication technology: A constructive grounded theory approach.

NLM - Nursing Informatics - Tue, 2019-01-29 16:22
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Nursing students' learning dynamics with clinical information and communication technology: A constructive grounded theory approach.

Nurse Educ Today. 2019 Feb;73:41-47

Authors: Lee JJ, Carson MN, Clarke CL, Yang SC, Nam SJ

Abstract
BACKGROUND: The learning of nursing students can be facilitated through direct and/or indirect experiences of using clinical information and communication technology during clinical placements. However, nursing students experience difficulties in using technology for learning. Despite the difficulties, nursing students' learning dynamics with technology in real clinical contexts is poorly understood.
OBJECTIVES: To develop a theoretical model by identifying nursing students' learning dynamics with clinical information and communication technology and the factors influencing the dynamics.
DESIGN: A constructivist grounded theory approach was employed in order to develop the theoretical model.
SETTINGS: This research was conducted by recruiting nursing students from four universities in Seoul, South Korea.
PARTICIPANTS: Sixteen fourth year nursing students were recruited by purposive sampling.
METHODS: This research collected qualitative interview data in up to four rounds of interviews using open-ended and semi-structured interview questions. A total of 23 interviews were conducted. The data were transcribed verbatim. All interview data were analysed using three coding methods; initial, focused, and theoretical coding. NVivo 11 was used for data management.
RESULTS: This research developed a theoretical model of nursing students' learning dynamics with clinical information and communication technology. The model explains three dynamics that influence nursing students' use of clinical information and communication technology (interpersonal, organisational and emotional dynamics) and the students' responses regarding the dynamics for learning in clinical contexts.
CONCLUSIONS: Nursing educators can use the theoretical model to understand how best to support nursing students in navigating their clinical environments to build competency in using clinical information and communication technology.

PMID: 30502593 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Mobile technologies in the Nursing area.

NLM - Nursing Informatics - Wed, 2019-01-09 13:14
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Mobile technologies in the Nursing area.

Rev Bras Enferm. 2018 Sep-Oct;71(5):2570-2578

Authors: Silva AMA, Mascarenhas VHA, Araújo SNM, Machado RDS, Santos AMRD, Andrade EMLR

Abstract
OBJECTIVE: To identify in the literature studies on mobile technologies in Nursing.
METHOD: Integrative literature review in which was used the Population, Interest and Context (PICo) strategy, the tool of the National Library of Medicine for formulation of the research question, and search without a determined period of time in the following bibliographic databases: Medical Literature and Retrieval System onLine/PubMed®), Cumulative Index to Nursing & Allied Health Literature (CINAHL), SCOPUS (Elsevier), Latin American and Caribbean Literature in Health Sciences (LILACS) and Nursing Database (BDENF). Data collection period was from January to March 2017.
RESULTS: Fifteen articles were selected, in which were addressed mobile technologies in Nursing for nurses, undergraduate students and patients.
CONCLUSION: Mobile technologies in Nursing are a recent theme and enable care data sharing, experience acquisition by undergraduate students and patient empowerment.

PMID: 30304191 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Computerized nursing process: development of a mobile technology for use with neonates.

NLM - Nursing Informatics - Tue, 2019-01-08 13:13
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Computerized nursing process: development of a mobile technology for use with neonates.

Rev Bras Enferm. 2018;71(suppl 3):1273-1280

Authors: Lima JJ, Vieira LGD, Nunes MM

Abstract
OBJECTIVE: to build a mobile technology to assist nurses during data collection, diagnostic reasoning, and identification of interventions in neonates.
METHOD: methodological study with a qualitative approach. The development was carried out in three phases, namely: bibliographical survey, construction of a database of diagnosis/interventions, and development of the software. We used the development tools Ruby on Rails, IONIC 2, PostgresSQL, and Amazon EC2.
RESULTS: The developed technology received the name Natus, able to contribute to the development of the nursing process applied to patients of neonatal units. Its requirements are: to define human needs, select nursing diagnoses, select interventions, define time periods, and issue printed files.
FINAL CONSIDERATIONS: the technology built is a computerized tool that allows for the development of the nursing process, facilitating data collection, diagnostic reasoning, and identification and grouping of the clinical signs presented by the newborn in neonatal units.

PMID: 29972524 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Older Adults' Live Demonstration of Electronic Personal Health Record Use: Factors Mediating Initial Proficiency.

NLM - Nursing Informatics - Tue, 2019-01-08 13:13
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Older Adults' Live Demonstration of Electronic Personal Health Record Use: Factors Mediating Initial Proficiency.

Comput Inform Nurs. 2018 Dec;36(12):603-609

Authors: Evans BA, Beverly CJ, Tsai PF, Rettiganti M, Lefler LL, Parks RF

Abstract
Adoption of electronic personal health records by older adults offers multiple advantages to healthcare and is being encouraged by federal agencies and health associations. However, obstacles have limited older adults' rates of adoption to approximately 10%. This study examined the initial proficiency of older adults at entering 21 standard health elements into an electronic personal health record. Entry completeness, accuracy, elapsed time, and help requests were measured. A combination of standard technology adoption model and older adult characteristics accounted for 52% of variability in proficiency at entering electronic personal health record data. Automatic linear modeling identified three variables as primarily related to proficiency with electronic personal health record use: age, computer competency, and mental status. Interventions to increase electronic personal health record adoption and proficiency of use will require the consideration of variables specific to older adults, and may best focus on younger seniors with good mental status and computer competency. Efforts for older seniors with decreased mental status might better center on delegation to a primary caregiver.

PMID: 29927765 [PubMed - indexed for MEDLINE]

Categories: nursing informatics
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