nursing informatics

What Nurses Need to Know About Cybersecurity.

NLM - Nursing Informatics - Tue, 2019-07-02 13:05
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What Nurses Need to Know About Cybersecurity.

Am J Nurs. 2018 12;118(12):17-18

Authors: Stockwell S

Abstract
It's all part of protecting patients, and vigilance is key.

PMID: 30461482 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Contributions of the nurse's clinical practice to Primary Care.

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Contributions of the nurse's clinical practice to Primary Care.

Rev Bras Enferm. 2019 Mar-Apr;72(2):354-359

Authors: Kahl C, Meirelles BHS, Cunha KSD, Bernardo MDS, Erdmann AL

Abstract
OBJECTIVE: To understand the repercussions of the nurse's clinical practice on Primary Health Care.
METHOD: Qualitative research with the theoretical and methodological contribution of Grounded Theory. Data collection took place between May and October 2016 in Florianópolis' Primary Care service. The theoretical sample was comprised of 18 nurses divided into two groups.
RESULTS: nurses' clinical practice has repercussions on the consolidation of the trust bond between individuals, families and communities, by amplifying the problem-solving efficacy of the Primary Health Care professional's clinical practice. This is due to the implementation of clinical nursing protocols, and also the use of the International Classification for Nursing Practice.
FINAL CONSIDERATIONS: Nurses' clinical practice has positive repercussions on the health of Primary Health Care users.

PMID: 31017196 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Computerization of primary health care in Brazil: the network of actors.

NLM - Nursing Informatics - Tue, 2019-06-25 13:02
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Computerization of primary health care in Brazil: the network of actors.

Rev Bras Enferm. 2019 Mar-Apr;72(2):337-344

Authors: Cavalcante RB, Esteves CJDS, Gontijo TL, Brito MJM, Guimarães EAA, Barbosa SP

Abstract
OBJECTIVE: To analyze the network of human and non-human actors involved in the computerization of primary health care in the Brazilian federal government.
METHOD: A qualitative study that used as a theoretical reference the actor-network theory and as a methodological reference the cartography of controversies. Data analysis was carried out using Gephi software, and through the extraction of reports, informed by the actor-network theory.
RESULTS: We found a network of 288 connections among 33 actors, composed mainly of nonhuman influencers of computerization. These actors are distributed throughout 3 inter-related communities, and manage the network by defining obligations, penalties, conflicts and intentionalities, thus influencing the success of the intended computerization.
FINAL CONSIDERATIONS: The network of actors at the federal level generates situations that, in many cases, hamper the successful implementation of a nationwide computerization strategy.

PMID: 31017194 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Across the Globe: Connected Care, Big Data, Interoperability.

NLM - Nursing Informatics - Fri, 2019-06-14 18:54
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Across the Globe: Connected Care, Big Data, Interoperability.

Nurs Educ Perspect. 2016 Sep/Oct;37(5):302-303

Authors: Skiba DJ

PMID: 27740571 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Psychiatric Aeromedical Evacuations of Deployed Active Duty U.S. Military Personnel During Operations Enduring Freedom, Iraqi Freedom, and New Dawn.

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Psychiatric Aeromedical Evacuations of Deployed Active Duty U.S. Military Personnel During Operations Enduring Freedom, Iraqi Freedom, and New Dawn.

Mil Med. 2018 11 01;183(11-12):e649-e658

Authors: Peterson AL, Hale WJ, Baker MT, Cigrang JA, Moore BA, Straud CL, Dukes SF, Young-McCaughan S, Gardner CL, Arant-Daigle D, Pugh MJ, Williams Christians I, Mintz J, STRONG STAR Consortium

Abstract
Introduction: The primary objective of this study was to describe the demographic, clinical, and attrition characteristics of active duty U.S. military service members who were aeromedically evacuated from Iraq and Afghanistan theaters with a psychiatric condition as the primary diagnosis. The study links the U.S. Transportation Command Regulating and Command and Control Evacuation System (TRAC2ES) data with the Defense Manpower Data Center (DMDC) to conduct an examination of the long-term occupational impact of psychiatric aeromedical evacuations on military separations and discharges.
Materials and Methods: Retrospective analyses were conducted on the demographic, clinical, and attrition information of active duty service members (N = 7,023) who received a psychiatric aeromedical evacuation from Iraq or Afghanistan between 2001 and 2013 using TRAC2ES data. Additionally, TRAC2ES database was compared with DMDC data to analyze personal and service demographics, aeromedical evacuation information, and reasons for military separation with the entire 2013 active duty force. Chi-square tests of independence and standardized residuals were used to identify cells with observed frequencies or proportions significantly different than expected by chance. Additionally, OR were calculated to provide context about the nature of any significant relationships.
Results: Compared with the active duty comparison sample, those with a psychiatric aeromedical evacuation tended to be younger, female, white, divorced or widowed, and less educated. They were also more likely to be junior enlisted service members in the Army serving in a Combat Arms military occupational specialty. The primary psychiatric conditions related to the aeromedical evacuation were depressive disorders (25%), adjustment disorders (18%), post-traumatic stress disorder (9%), bipolar disorders (6%), and anxiety disorders (6%). Approximately, 3% were evacuated for suicidal ideation and associated behaviors. Individuals who received a psychiatric aeromedical evacuation were almost four times as likely (53%) to have been subsequently separated from active duty at the time of the data analysis compared with other active duty service members (14%). The current study also found that peaks in the number of aeromedical evacuations coincided with significant combat operational events. These peaks almost always preceded or followed a significant operational event. An unexpected finding of the present study was that movement classification code was not predictive of subsequent reasons for separation from the military. Thus, the degree of clinical supervision and restraint of a service member during psychiatric aeromedical evacuation from deployment proved to be unrelated to subsequent service outcome.
Conclusions: Psychiatric conditions are one of the leading reasons for the aeromedical evacuation of active duty military personnel from the military combat theater. For many active duty military personnel, a psychiatric aeromedical evacuation from a combat theater is the start of a military career-ending event that results in separation from active duty. This finding has important clinical and operational implications for the evaluation and treatment of psychiatric conditions during military deployments. Whenever possible, deployed military behavioral health providers should attempt to treat psychiatric patients in theater to help them remain in theater to complete their operational deployments. Improved understanding of the factors related to psychiatric aeromedical evacuations will provide important clinical and policy implications for future conflicts.

PMID: 30124915 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Informatics Competencies for Nurse Leaders: A Scoping Review.

NLM - Nursing Informatics - Mon, 2019-06-03 18:46
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Informatics Competencies for Nurse Leaders: A Scoping Review.

J Nurs Adm. 2019 Jun;49(6):323-330

Authors: Strudwick G, Nagle L, Kassam I, Pahwa M, Sequeira L

Abstract
OBJECTIVE: To consolidate informatics competencies for nurse leaders.
BACKGROUND: Nurses in leadership positions with financial and human resource responsibilities have the capacity to shape how technologies are selected, implemented, and used. Many nurse leaders are not equipped with the essential informatics competencies to do so effectively. There have been efforts to identify a set of standard informatics competencies that should be core to every nurse leader's suite of capabilities; nonetheless, these efforts have yet to be disseminated widely.
METHODS: A scoping review was conducted by: 1) identifying the research questions; 2) identifying relevant studies; 3) selecting studies; 4) extracting collected data; and 5) reporting the results.
RESULTS: Fifteen articles were found, and 11 competency themes related to informatics knowledge, informatics skills, and others were identified.
CONCLUSION: Findings of this review can be used to support nursing leaders in their identification of gaps in their informatics knowledge and skill.

PMID: 31135640 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

[Establishing a Nursing Informatics System to Improve the Completion Rate of Computed Tomography Simulation With Contrast Injection].

NLM - Nursing Informatics - Thu, 2019-05-23 12:39
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[Establishing a Nursing Informatics System to Improve the Completion Rate of Computed Tomography Simulation With Contrast Injection].

Hu Li Za Zhi. 2018 Dec;65(6):78-86

Authors: Tseng PH, Jih YR, Yang CY

Abstract
BACKGROUND & PROBLEMS: Problems that influence the safety and quality of the patient-positioning process during computed tomography (CT) simulation with contrast injection include: 1) inconsistent and incomplete procedures performed by medical staffs, 2) poor prevention of developer leakage and handling of side-effects, and 3) the lack of a standardized protocol. Desire to improve this situation encouraged us to do this project. Adverse events during CT simulation with contrast injection procedures are largely attributable to the lack of a standardized nursing informatics system, with other causes including nurses incorrectly performing allergy history assessments, incorrect communications with the doctor due to verbal orders given by phone, failure to perform proper patient identification and intravenous catheterization procedures, lack of assessment and knowledge about contrasts, lack of guidelines for warming contrast in the incubator, and lack of oxygen and sputum suction equipment.
PURPOSE: To improve the rate of completion of CT simulation with contrast injection procedures from 65% to 95%.
RESOLUTION: This project was conducted between April 2016 and December 2016. Our strategy included establishing a nursing informatics system for the CT simulation with contrast injection process. This system included a standard patient-identification procedure, protocol for the correct placement of intravenous needles, standard specifications for the using an incubator with contrast, installation of oxygen and sputum suction equipment, and implementation of a nursing education and training program.
RESULTS: This project with associated strategies improved CT simulation with contrast injection completion rates in all domains from the original 65% to 95% at the end of the project period.
CONCLUSIONS: This project improved significantly the completion rates of the CT simulation with contrast injection process. We want to share this experience to help other hospitals and to improve patient safety and quality of care.

PMID: 30488415 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

A crosswalk between the Omaha System and guiding undergraduate public health nursing education documents.

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A crosswalk between the Omaha System and guiding undergraduate public health nursing education documents.

Public Health Nurs. 2019 03;36(2):215-225

Authors: Stalter AM, Harrington S, Eardley DL, DeBlieck CJ, Blanchette LP, Whitten L

Abstract
The Omaha System is the hallmark evidence-based clinical information management system used in nursing education, research, and practice. Multiple education documents guide public health workforce preparation. This qualitative study identified similarities and gaps between the Omaha System and seven guiding documents commonly used by nurse educators. A crosswalk design was employed. The setting was virtually based using online technology. Recommendations are for public health nurse educators to update their teaching practices using evidence-based approaches.

PMID: 30680792 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Feasibility of describing community strengths relative to Omaha system concepts.

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Feasibility of describing community strengths relative to Omaha system concepts.

Public Health Nurs. 2019 03;36(2):245-253

Authors: Kerr MJ, Gargantua-Aguila SDR, Glavin K, Honey MLL, Nahcivan NO, Secginli S, Martin KS, Monsen KA

Abstract
OBJECTIVES: The purpose was to determine the feasibility of using a standardized language, the Omaha System, to describe community-level strengths. The objectives were: (a) to evaluate the feasibility of using the Omaha System at the community level to reflect community strengths and (b) to describe preliminary results of community strengths observations across international settings.
DESIGN AND SAMPLE: A descriptive qualitative design was used. The sample was a data set of 284 windshield surveys by nursing students in 5 countries: Mexico, New Zealand, Norway, Turkey, and the United States.
MEASURES: An online survey included a checklist and open-ended questions on community strengths for 11 concepts of the Omaha System Problem Classification Scheme: Income, Sanitation, Residence, Neighborhood/workplace safety, Communication with community resources, Social contact, Interpersonal relationship, Spirituality, Nutrition, Substance use, and Health care supervision. Themes were derived through content analysis of responses to the open-ended questions.
RESULTS: Feasibility was demonstrated: Students were able to use the Omaha System terms and collect data on strengths. Common themes were described among the five countries.
CONCLUSIONS: The Omaha System appears to be useful in documenting community-level strengths. Themes and exemplar quotes provide a first step in developing operational definitions of strengths at a more granular level.

PMID: 30488544 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Using the Omaha System to determine health problems of urban Syrian immigrants.

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Using the Omaha System to determine health problems of urban Syrian immigrants.

Public Health Nurs. 2019 03;36(2):126-133

Authors: Ardic A, Esin MN, Koc S, Bayraktar B, Sunal N

Abstract
OBJECTIVE(S): This study assessed the health problems of Syrian immigrants living in urban areas using the Omaha System.
DESIGN: A descriptive and observational study was conducted in Istanbul.
SAMPLE: The sample included 51 Syrian immigrant families and 248 Syrian refugees.
MEASURES: Data were collected using the Omaha System-Problem Classification List and a sociodemographic questionnaire.
RESULTS: The average household size was 6.36; 71% of those over the age of 18 were not employed. Only 8.5% of children aged 0-15 were vaccinated; 15 nursing problems and 46 signs and symptoms were diagnosed using the Problem Classification List scale. Personal care was the most frequently diagnosed problem, followed by Sanitation, Communication with community resources, Mental health, and Residence.
CONCLUSIONS: Health and social problems are common Syrian immigrants living in urban areas. The Omaha System-Problem Classification List can be used as a tool by public health nurses to identify health problems encountered by immigrants.

PMID: 30467898 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

"Keeping You in the Know": The Effect of an Online Nursing Journal Club on Evidence-Based Knowledge Among Rural Registered Nurses.

NLM - Nursing Informatics - Tue, 2019-05-07 12:26
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"Keeping You in the Know": The Effect of an Online Nursing Journal Club on Evidence-Based Knowledge Among Rural Registered Nurses.

Comput Inform Nurs. 2019 Apr;37(4):190-195

Authors: DuGan JE

Abstract
The purpose of this research study was to promote and evaluate clinical scholarship in rural registered nurses through the dissemination of evidence-based practice findings via the development and implementation of an online nursing journal club. A simple pretest-posttest design was selected to implement this project. Along with descriptive data, survey data were analyzed using a paired t test. A convenience sample from a rural university nursing alumni email database spanning 2010-2011 and 2014-2016 was invited to participate. Three articles, one each month, were presented on the journal club Web site. Along with the 10-question pretest and posttest, the Evidence-Based Practice Questionnaire survey was completed after the third article posttest. By the end of the third month, 37 participants completed all three articles and Evidence-Based Practice Questionnaire survey. The results of the paired t tests all revealed a significant mean difference increase in knowledge from pretest to posttest (P < .05). In addition, the Evidence-Based Practice Questionnaire survey revealed that participants felt "good" about their knowledge of evidence-based practice related to areas such as reviewing practice skills, ability to identify gaps in practice, ability to analyze critical evidence, ability to determine how valid material is, and ability to apply information to individual cases.

PMID: 30688671 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Nurses "Seeing Forest for the Trees" in the Age of Machine Learning: Using Nursing Knowledge to Improve Relevance and Performance.

NLM - Nursing Informatics - Tue, 2019-05-07 12:26
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Nurses "Seeing Forest for the Trees" in the Age of Machine Learning: Using Nursing Knowledge to Improve Relevance and Performance.

Comput Inform Nurs. 2019 Apr;37(4):203-212

Authors: Kwon JY, Karim ME, Topaz M, Currie LM

Abstract
Although machine learning is increasingly being applied to support clinical decision making, there is a significant gap in understanding what it is and how nurses should adopt it in practice. The purpose of this case study is to show how one application of machine learning may support nursing work and to discuss how nurses can contribute to improving its relevance and performance. Using data from 130 specialized hospitals with 101 766 patients with diabetes, we applied various advanced statistical methods (known as machine learning algorithms) to predict early readmission. The best-performing machine learning algorithm showed modest predictive ability with opportunities for improvement. Nurses can contribute to machine learning algorithms by (1) filling data gaps with nursing-relevant data that provide personalized context about the patient, (2) improving data preprocessing techniques, and (3) evaluating potential value in practice. These findings suggest that nurses need to further process the information provided by machine learning and apply "Wisdom-in-Action" to make appropriate clinical decisions. Nurses play a pivotal role in ensuring that machine learning algorithms are shaped by their unique knowledge of each patient's personalized context. By combining machine learning with unique nursing knowledge, nurses can provide more visibility to nursing work, advance nursing science, and better individualize patient care. Therefore, to successfully integrate and maximize the benefits of machine learning, nurses must fully participate in its development, implementation, and evaluation.

PMID: 30688670 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Conditions for the Successful Implementation of Computer-Aided Drug Monitoring From Registered Nurses' Perspective-A Case Site Analysis.

NLM - Nursing Informatics - Tue, 2019-05-07 12:26
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Conditions for the Successful Implementation of Computer-Aided Drug Monitoring From Registered Nurses' Perspective-A Case Site Analysis.

Comput Inform Nurs. 2019 Apr;37(4):196-202

Authors: Johansson-Pajala RM

Abstract
This research addressed the introduction of a computerized decision support system for drug monitoring to be used by registered nurses in nursing homes. The system was introduced, and its effects were evaluated over the period of 1 year; however, at the end of 1 year, the implementation was not successful in all the participating settings. The aim of this study was to identify the conditions needed for the successful implementation of a computerized decision support system from the registered nurses' perspective. Two case sites were purposively selected based on the implementation's success in one nursing home, but not in the other. Focus group discussions were performed, one in each setting, with eight registered nurses. An inductive thematic analysis was conducted. The findings revealed six themes illustrating the registered nurses' views about the conditions needed: need to see benefits, have the time and take the time, curb administrative hassle, collaboration at all levels, stated responsibility, and requirements set from managerial positions. The most outstanding findings, when compared with the previous implementations of nursing informatics, involved collaboration and the view of drug monitoring responsibility in relation to themselves and the physicians.

PMID: 30589648 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Factors Affecting Consumer Acceptance of an Online Health Information Portal Among Young Internet Users.

NLM - Nursing Informatics - Tue, 2019-05-07 12:26
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Factors Affecting Consumer Acceptance of an Online Health Information Portal Among Young Internet Users.

Comput Inform Nurs. 2018 Nov;36(11):567

Authors:

PMID: 30399007 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Summer Institute in Nursing Informatics 2018 Balancing Digital Demands: Access, Use, Security.

NLM - Nursing Informatics - Tue, 2019-05-07 12:26
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Summer Institute in Nursing Informatics 2018 Balancing Digital Demands: Access, Use, Security.

Comput Inform Nurs. 2018 Nov;36(11):521-524

Authors: Seckman C

PMID: 30399005 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

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

NLM - Nursing Informatics - Tue, 2019-04-23 12:15
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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 - Tue, 2019-04-23 12:15
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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
Related Articles

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

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